{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Ewerton de Souza",
    "label": "Senior Backend \u0026 Data Engineer",
    "image": "https://ewerton.com.br/static/images/photos/ewerton.jpg",
    "email": "ewerton@ewerton.com.br",
    "phone": "+5531998546167",
    "url": "https://ewerton.com.br",
    "summary": "Hi, I am Ewerton, a Lead Engineer with over 7 years of experience in architecting and scaling complex data and AI platforms from the ground up. I specialize in the intersection of backend development and data engineering, transforming business requirements into robust, production-ready systems on GCP and AWS. Mentoring developers and driving projects from concept to deployment, I am passionate about solving complex data challenges and building the infrastructure that powers intelligent products. Guided by my faith in God, I strive to build technology responsibly and create tools that have a lasting impact.",
    "location": {
      "city": "Belo Horizonte",
      "region": "MG",
      "countryCode": "BR"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "ewertones",
        "url": "https://www.linkedin.com/in/ewertones"
      },
      {
        "network": "GitHub",
        "username": "ewertones",
        "url": "https://github.com/ewertones"
      },
      {
        "network": "Calendly",
        "username": "ewertones",
        "url": "https://calendly.com/ewertones/30min"
      }
    ]
  },
  "work": [
    {
      "name": "EY",
      "position": "Senior Backend Developer",
      "url": "https://ey.com",
      "startDate": "2026-03",
      "summary": "Building a tax compliance reporting platform for EY's tax practice, turning raw partner and investment data into K-1s, K-3s, and state tax reports.",
      "highlights": [
        "Shipped over a dozen new report types in under six months.",
        "Designed a feature-flag system for safe, incremental rollouts.",
        "Built a two-lane job queue to speed up report processing.",
        "Led a full migration to Python 3.12 while keeping a 74-report async pipeline reliable for real client deadlines."
      ]
    },
    {
      "name": "Stagwell",
      "position": "Lead Back-end Engineer (Code \u0026 Theory)",
      "url": "https://stagwellglobal.com",
      "startDate": "2024-12",
      "endDate": "2026-02",
      "summary": "As the founding Lead Backend Developer, I architected and scaled this enterprise AI platform from the ground up, leading a team of senior engineers to build a robust, production-ready system on Google Cloud Platform.",
      "highlights": [
        "Architected a Scalable AI Engine using Python, FastAPI, and LangGraph with RAG and multi-tenant vector search.",
        "Engineered an Enterprise-Grade Backend on GCP with SQLAlchemy and Pydantic.",
        "Led Security \u0026 Team Operations (JWT, SSO/Okta, RBAC) and mentored a team of 8 senior developers."
      ]
    },
    {
      "name": "Stagwell",
      "position": "Senior Data Engineer (Stagwell Marketing Cloud)",
      "url": "https://stagwellglobal.com",
      "startDate": "2024-04",
      "endDate": "2024-11",
      "summary": "I pioneered the company's secure data collaboration strategy by designing and implementing a fully automated, multi-cloud data pipeline for AWS, GCP, and Snowflake.",
      "highlights": [
        "Architected a Multi-Cloud Ingestion \u0026 Processing Framework for scalable and secure data sharing.",
        "Built a Serverless Automation Engine on AWS using Glue, Lambda, and Step Functions.",
        "Implemented Secure Analytics with Snowflake Clean Rooms enabling privacy-preserving joint insights."
      ]
    },
    {
      "name": "Morsum",
      "position": "Senior Back End Developer",
      "url": "https://www.dotfoods.com",
      "startDate": "2023-05",
      "endDate": "2024-04",
      "summary": "Responsible for scaling the platform's core API and data pipeline infrastructure in the foodtech space.",
      "highlights": [
        "Developed and scaled the primary Python/Flask REST API.",
        "Architected the company's data processing framework using Apache Airflow for all automated ETL pipelines."
      ]
    },
    {
      "name": "DashFi",
      "position": "Senior Data Engineer",
      "url": "https://dash.fi",
      "startDate": "2021-10",
      "endDate": "2023-05",
      "summary": "Worked on a B2B credit card company for digital ad spending.",
      "highlights": [
        "Created fast, secure REST APIs with FastAPI.",
        "Built ETL pipelines for internal dashboards using GCP BigQuery and Looker Studio.",
        "Maintained Apache Airflow server with CI/CD for DAGs.",
        "Developed predictive statistical models for spending data."
      ]
    },
    {
      "name": "CERC",
      "position": "Big Data Engineer",
      "url": "https://cerc.com",
      "startDate": "2021-05",
      "endDate": "2021-10",
      "summary": "Maintained data pipelines and infrastructure for one of Brazil's main receivables registers.",
      "highlights": [
        "Maintained Python and Java/Kotlin data pipelines.",
        "Implemented solutions using Docker, Kubernetes, Airflow, Hadoop, Spark, and Dataflow.",
        "Optimized queries in Spanner and BigQuery."
      ]
    },
    {
      "name": "BeGrowth",
      "position": "Data Engineer",
      "url": "https://begrowth.com.br",
      "startDate": "2020-05",
      "endDate": "2021-05",
      "summary": "Built data infrastructure for an AdTech startup.",
      "highlights": [
        "Created Data Lake \u0026 Warehouse using Google Cloud BigQuery.",
        "Orchestrated Ads data (Facebook, Google) using Airflow.",
        "Wrote Python (Pandas/Numpy) scripts for data merging.",
        "Managed Ads accounts and improved ROAS through A/B testing."
      ]
    }
  ],
  "education": [
    {
      "institution": "USP - Universidade de São Paulo",
      "url": "https://www5.usp.br/",
      "area": "Data Science and Analytics",
      "studyType": "Master in Business Administration (MBA)",
      "startDate": "2021",
      "endDate": "2022",
      "score": "99/100",
      "courses": [
        "Gained a strong foundation in analytical and data skills, with a focus on applying them within a business context."
      ]
    },
    {
      "institution": "PUC Minas",
      "url": "https://www.pucminas.br/",
      "area": "Computer Software Engineering",
      "studyType": "Graduate Degree",
      "startDate": "2021",
      "endDate": "2022",
      "score": "93/100",
      "courses": [
        "Agile methodologies and processes, such as Scrum and Kanban, which are commonly used for software development and project management."
      ]
    },
    {
      "institution": "PUC Minas",
      "url": "https://www.pucminas.br/",
      "area": "Chemical Engineering",
      "studyType": "Undergraduate degree",
      "startDate": "2014",
      "endDate": "2019",
      "score": "85/100",
      "courses": [
        "Gained a strong understanding of the principles of chemical engineering, including thermodynamics, kinetics, transport phenomena, and reactor design."
      ]
    }
  ],
  "projects": [
    {
      "name": "aiomover",
      "description": "Move your files anywhere, instantly. The ultimate cloud migration tool for personal and business use. aiomover makes it simple to transfer files between cloud storage providers securely and efficiently. Whether you're backing up data, migrating to a new provider, or synchronizing across platforms, aiomover handles it all.",
      "highlights": [
        "Lightning Fast Transfers",
        "Bank-Grade Security",
        "Simple Interface"
      ],
      "url": "https://aiomover.com",
      "type": "Web Applications",
      "roles": [
        "Founder \u0026 Sole Developer"
      ],
      "keywords": [
        "Python",
        "FastAPI",
        "PostgreSQL",
        "Next.js",
        "TypeScript",
        "Google Cloud",
        "SQLAlchemy",
        "Tailwind CSS",
        "Terraform",
        "Docker",
        "Stripe"
      ]
    },
    {
      "name": "questao",
      "description": "Master national exams, one question at a time. An AI-powered EdTech platform designed to help students prepare for the national exams. With years of real exam questions, gamified learning, live rankings, and personalized AI tutoring, questao makes studying engaging and effective.",
      "highlights": [
        "AI-Powered Learning",
        "Gamified Experience",
        "Connect with Peers"
      ],
      "type": "Web Applications",
      "roles": [
        "Founder \u0026 Sole Developer"
      ],
      "keywords": [
        "Python",
        "FastAPI",
        "PostgreSQL",
        "Next.js",
        "TypeScript",
        "Vertex AI",
        "Tailwind CSS",
        "Terraform",
        "Google Cloud",
        "Stripe"
      ]
    },
    {
      "name": "Harpa Cristã",
      "description": "Six Brazilian hymnaries, always in your pocket. A modern Android reader bringing together six of Brazil's most-used Christian hymnaries in one app. Fast full-text search across every hymn, offline-first lyrics, favorites, and on-demand audio playback make it easy to find and sing along to any hymn, anywhere.",
      "highlights": [
        "Cross-Book Search",
        "Offline-First Hymns",
        "Audio Playback"
      ],
      "type": "Mobile Apps",
      "roles": [
        "Founder \u0026 Sole Developer"
      ],
      "keywords": [
        "Kotlin",
        "Jetpack Compose",
        "Room",
        "Hilt",
        "Android",
        "Material 3",
        "Cloudflare Workers",
        "Python"
      ]
    }
  ],
  "skills": [
    {
      "name": "Python",
      "level": "Expert",
      "keywords": [
        "Programming Languages",
        "py",
        "backend",
        "scripting",
        "ai",
        "ml",
        "data science",
        "automation",
        "pandas",
        "numpy",
        "django",
        "fastapi",
        "flask",
        "general purpose"
      ]
    },
    {
      "name": "SQL",
      "level": "Expert",
      "keywords": [
        "Programming Languages",
        "query",
        "database",
        "rdbms",
        "relational",
        "data",
        "joins",
        "aggregation",
        "stored procedures",
        "transactions",
        "normalization",
        "ddl",
        "dml"
      ]
    },
    {
      "name": "JavaScript",
      "level": "Intermediate",
      "keywords": [
        "Programming Languages",
        "js",
        "ecmascript",
        "frontend",
        "web",
        "browser",
        "typescript",
        "node",
        "dom",
        "async",
        "promises",
        "json",
        "dynamic"
      ]
    },
    {
      "name": "Bash",
      "level": "Intermediate",
      "keywords": [
        "Programming Languages",
        "shell",
        "terminal",
        "linux",
        "automation",
        "script",
        "cli",
        "unix",
        "commands",
        "pipes",
        "cron",
        "ssh",
        "sh"
      ]
    },
    {
      "name": "Java",
      "level": "Familiar",
      "keywords": [
        "Programming Languages",
        "backend",
        "jvm",
        "enterprise",
        "spring",
        "maven",
        "oop",
        "multithreading",
        "microservices",
        "compiled"
      ]
    },
    {
      "name": "PHP",
      "level": "Familiar",
      "keywords": [
        "Programming Languages",
        "web",
        "backend",
        "wordpress",
        "laravel",
        "symfony",
        "cms",
        "server-side",
        "scripting"
      ]
    },
    {
      "name": "R",
      "level": "Familiar",
      "keywords": [
        "Programming Languages",
        "statistics",
        "data science",
        "analysis",
        "ggplot",
        "tidyverse",
        "statistical modeling",
        "visualization",
        "cran"
      ]
    },
    {
      "name": "MATLAB",
      "level": "Familiar",
      "keywords": [
        "Programming Languages",
        "math",
        "engineering",
        "simulation",
        "numerical analysis",
        "signal processing",
        "scientific computing",
        "toolbox"
      ]
    },
    {
      "name": "MySQL",
      "level": "Advanced",
      "keywords": [
        "Databases",
        "sql",
        "rdbms",
        "relational",
        "database",
        "innodb",
        "transactions",
        "indexing",
        "web",
        "open source",
        "mariadb"
      ]
    },
    {
      "name": "PostgreSQL",
      "level": "Advanced",
      "keywords": [
        "Databases",
        "postgres",
        "psql",
        "sql",
        "rdbms",
        "relational",
        "database",
        "jsonb",
        "extensions",
        "stored procedures",
        "open source",
        "transactions",
        "pg",
        "vector",
        "pgvector",
        "embeddings",
        "chromadb",
        "pinecone"
      ]
    },
    {
      "name": "BigQuery",
      "level": "Advanced",
      "keywords": [
        "Databases",
        "gbq",
        "google cloud",
        "gcp",
        "data warehouse",
        "dw",
        "analytics",
        "sql",
        "serverless",
        "columnar",
        "bi",
        "petabyte"
      ]
    },
    {
      "name": "Spanner",
      "level": "Advanced",
      "keywords": [
        "Databases",
        "google cloud",
        "gcp",
        "distributed",
        "sql",
        "rdbms",
        "database",
        "globally distributed",
        "transactions",
        "scalable",
        "strong consistency",
        "horizontally scalable"
      ]
    },
    {
      "name": "ElasticSearch",
      "level": "Intermediate",
      "keywords": [
        "Databases",
        "elastic",
        "search",
        "indexing",
        "nosql",
        "elk",
        "full-text search",
        "kibana",
        "logstash",
        "aggregations",
        "json",
        "opensearch",
        "vector",
        "vector search",
        "knn",
        "embeddings",
        "chromadb",
        "pinecone"
      ]
    },
    {
      "name": "CDC",
      "level": "Intermediate",
      "keywords": [
        "Databases",
        "change data capture",
        "replication",
        "streaming",
        "debezium",
        "kafka",
        "real-time",
        "sync",
        "event-driven",
        "incremental"
      ]
    },
    {
      "name": "MongoDB",
      "level": "Familiar",
      "keywords": [
        "Databases",
        "mongo",
        "nosql",
        "database",
        "document",
        "json",
        "atlas",
        "aggregation",
        "schemaless",
        "crud",
        "bson",
        "collections"
      ]
    },
    {
      "name": "Redis",
      "level": "Familiar",
      "keywords": [
        "Databases",
        "cache",
        "in-memory",
        "vss",
        "nosql",
        "key-value",
        "pub/sub",
        "queue",
        "session",
        "real-time",
        "caching layer",
        "sorted sets"
      ]
    },
    {
      "name": "Apache Spark",
      "level": "Intermediate",
      "keywords": [
        "Big Data \u0026 Processing",
        "spark",
        "big data",
        "processing",
        "scala",
        "pyspark",
        "analytics",
        "distributed computing",
        "rdd",
        "dataframe",
        "streaming",
        "ml"
      ]
    },
    {
      "name": "Hadoop",
      "level": "Intermediate",
      "keywords": [
        "Big Data \u0026 Processing",
        "big data",
        "mapreduce",
        "distributed",
        "hdfs",
        "hive",
        "hbase",
        "yarn",
        "batch processing",
        "storage",
        "cluster"
      ]
    },
    {
      "name": "Apache Beam",
      "level": "Intermediate",
      "keywords": [
        "Big Data \u0026 Processing",
        "beam",
        "dataflow",
        "streaming",
        "batch",
        "pipeline",
        "unified model",
        "gcp",
        "google cloud",
        "real-time",
        "etl"
      ]
    },
    {
      "name": "Pandas",
      "level": "Expert",
      "keywords": [
        "Data Science \u0026 ML",
        "data analysis",
        "python",
        "dataframe",
        "cleaning",
        "wrangling",
        "manipulation",
        "csv",
        "excel",
        "etl",
        "tabular data"
      ]
    },
    {
      "name": "NumPy",
      "level": "Expert",
      "keywords": [
        "Data Science \u0026 ML",
        "math",
        "python",
        "arrays",
        "scientific computing",
        "linear algebra",
        "matrices",
        "vectorization",
        "numerical",
        "ndarray"
      ]
    },
    {
      "name": "Matplotlib",
      "level": "Advanced",
      "keywords": [
        "Data Science \u0026 ML",
        "visualization",
        "python",
        "plotting",
        "charts",
        "graphs",
        "figures",
        "subplots",
        "pyplot",
        "data viz"
      ]
    },
    {
      "name": "Seaborn",
      "level": "Advanced",
      "keywords": [
        "Data Science \u0026 ML",
        "visualization",
        "python",
        "statistical",
        "charts",
        "heatmaps",
        "distributions",
        "correlation",
        "matplotlib",
        "data viz"
      ]
    },
    {
      "name": "TensorFlow",
      "level": "Intermediate",
      "keywords": [
        "Data Science \u0026 ML",
        "tf",
        "machine learning",
        "deep learning",
        "ai",
        "neural networks",
        "keras",
        "gpu",
        "training",
        "inference",
        "model"
      ]
    },
    {
      "name": "Scikit-learn",
      "level": "Intermediate",
      "keywords": [
        "Data Science \u0026 ML",
        "sklearn",
        "machine learning",
        "ml",
        "python",
        "statistics",
        "classification",
        "regression",
        "clustering",
        "preprocessing",
        "pipeline"
      ]
    },
    {
      "name": "statsmodels",
      "level": "Familiar",
      "keywords": [
        "Data Science \u0026 ML",
        "statistics",
        "python",
        "econometrics",
        "modeling",
        "regression",
        "time series",
        "hypothesis testing",
        "anova",
        "glm"
      ]
    },
    {
      "name": "PyTorch",
      "level": "Familiar",
      "keywords": [
        "Data Science \u0026 ML",
        "torch",
        "machine learning",
        "deep learning",
        "ai",
        "neural networks",
        "autograd",
        "gpu",
        "tensors",
        "training",
        "research"
      ]
    },
    {
      "name": "HTML",
      "level": "Advanced",
      "keywords": [
        "Web Development",
        "web",
        "frontend",
        "markup",
        "structure",
        "html5",
        "semantic",
        "dom",
        "templates",
        "accessibility"
      ]
    },
    {
      "name": "CSS",
      "level": "Advanced",
      "keywords": [
        "Web Development",
        "web",
        "frontend",
        "styling",
        "design",
        "layout",
        "css3",
        "flexbox",
        "grid",
        "animations",
        "responsive",
        "sass"
      ]
    },
    {
      "name": "FastAPI",
      "level": "Advanced",
      "keywords": [
        "Web Development",
        "python",
        "api",
        "backend",
        "web",
        "rest",
        "async",
        "openapi",
        "swagger",
        "pydantic",
        "asyncio",
        "microservices"
      ]
    },
    {
      "name": "Flask",
      "level": "Advanced",
      "keywords": [
        "Web Development",
        "python",
        "api",
        "backend",
        "web",
        "microframework",
        "jinja",
        "wsgi",
        "routes",
        "rest",
        "lightweight"
      ]
    },
    {
      "name": "Bootstrap",
      "level": "Advanced",
      "keywords": [
        "Web Development",
        "css",
        "ui",
        "frontend",
        "responsive",
        "styling",
        "grid system",
        "components",
        "mobile-first",
        "framework"
      ]
    },
    {
      "name": "Node.js",
      "level": "Intermediate",
      "keywords": [
        "Web Development",
        "node",
        "nodejs",
        "js",
        "javascript",
        "backend",
        "server",
        "npm",
        "express",
        "api",
        "async",
        "event-driven"
      ]
    },
    {
      "name": "Django",
      "level": "Intermediate",
      "keywords": [
        "Web Development",
        "python",
        "web",
        "backend",
        "framework",
        "orm",
        "admin",
        "rest framework",
        "drf",
        "authentication",
        "migrations",
        "mtv"
      ]
    },
    {
      "name": "React.js",
      "level": "Familiar",
      "keywords": [
        "Web Development",
        "react",
        "reactjs",
        "js",
        "frontend",
        "ui",
        "web",
        "hooks",
        "components",
        "spa",
        "jsx",
        "state management"
      ]
    },
    {
      "name": "NextJS",
      "level": "Familiar",
      "keywords": [
        "Web Development",
        "next.js",
        "next",
        "react",
        "frontend",
        "ssr",
        "fullstack",
        "web",
        "ssg",
        "api routes",
        "typescript",
        "vercel",
        "routing"
      ]
    },
    {
      "name": "ETL",
      "level": "Advanced",
      "keywords": [
        "Data Engineering",
        "data pipeline",
        "integration",
        "extraction",
        "transformation",
        "loading",
        "elt",
        "batch",
        "real-time",
        "data flow",
        "orchestration",
        "ingestion"
      ]
    },
    {
      "name": "Data Lakes",
      "level": "Advanced",
      "keywords": [
        "Data Engineering",
        "storage",
        "big data",
        "s3",
        "gcs",
        "lakehouse",
        "parquet",
        "delta lake",
        "iceberg",
        "raw data",
        "ingestion",
        "object storage"
      ]
    },
    {
      "name": "Data Warehouses",
      "level": "Advanced",
      "keywords": [
        "Data Engineering",
        "bigquery",
        "snowflake",
        "redshift",
        "analytics",
        "dw",
        "olap",
        "columnar",
        "reporting",
        "star schema",
        "dimensional modeling"
      ]
    },
    {
      "name": "Database Modelling",
      "level": "Advanced",
      "keywords": [
        "Data Engineering",
        "architecture",
        "schema",
        "design",
        "normalization",
        "star schema",
        "erd",
        "entity relationship",
        "oltp",
        "olap",
        "data modeling",
        "snowflake schema"
      ]
    },
    {
      "name": "Google Cloud",
      "level": "Advanced",
      "keywords": [
        "Cloud Providers",
        "gcp",
        "google cloud platform",
        "cloud",
        "serverless",
        "computing",
        "bigquery",
        "cloud run",
        "gke",
        "cloud functions",
        "pub/sub",
        "gcs"
      ]
    },
    {
      "name": "AWS",
      "level": "Intermediate",
      "keywords": [
        "Cloud Providers",
        "amazon web services",
        "amazon",
        "cloud",
        "s3",
        "ec2",
        "lambda",
        "rds",
        "dynamodb",
        "iam",
        "cloudwatch",
        "ecs",
        "eks"
      ]
    },
    {
      "name": "Snowflake",
      "level": "Intermediate",
      "keywords": [
        "Cloud Providers",
        "cloud",
        "data warehouse",
        "analytics",
        "saas",
        "sql",
        "data sharing",
        "time travel",
        "virtual warehouse",
        "marketplace"
      ]
    },
    {
      "name": "Microsoft Azure",
      "level": "Familiar",
      "keywords": [
        "Cloud Providers",
        "azure",
        "microsoft",
        "cloud",
        "computing",
        "enterprise",
        "azure devops",
        "active directory",
        "blob storage",
        "aks",
        "functions",
        "ad"
      ]
    },
    {
      "name": "Docker",
      "level": "Advanced",
      "keywords": [
        "Containerization",
        "containers",
        "deployment",
        "devops",
        "infrastructure",
        "dockerfile",
        "compose",
        "images",
        "registry",
        "microservices",
        "isolation"
      ]
    },
    {
      "name": "Kubernetes",
      "level": "Intermediate",
      "keywords": [
        "Containerization",
        "k8s",
        "orchestration",
        "devops",
        "containers",
        "cloud",
        "pods",
        "helm",
        "scaling",
        "cluster",
        "deployments",
        "services"
      ]
    },
    {
      "name": "GitHub Actions",
      "level": "Advanced",
      "keywords": [
        "DevOps \u0026 CI/CD",
        "automation",
        "ci",
        "cd",
        "workflows",
        "git",
        "yaml",
        "runners",
        "pipelines",
        "testing",
        "deployment",
        "actions"
      ]
    },
    {
      "name": "Jenkins",
      "level": "Familiar",
      "keywords": [
        "DevOps \u0026 CI/CD",
        "automation",
        "ci",
        "cd",
        "pipeline",
        "groovy",
        "jobs",
        "plugins",
        "build",
        "deploy",
        "open source"
      ]
    },
    {
      "name": "Git",
      "level": "Expert",
      "keywords": [
        "Version Control",
        "vcs",
        "version control",
        "terminal",
        "code",
        "commits",
        "branches",
        "merge",
        "rebase",
        "pull requests",
        "diff"
      ]
    },
    {
      "name": "GitHub",
      "level": "Expert",
      "keywords": [
        "Version Control",
        "git",
        "hosting",
        "collaboration",
        "open source",
        "pull requests",
        "issues",
        "actions",
        "repositories",
        "code review",
        "gh"
      ]
    },
    {
      "name": "GitLab",
      "level": "Intermediate",
      "keywords": [
        "Version Control",
        "git",
        "hosting",
        "ci",
        "cd",
        "devops",
        "merge requests",
        "pipelines",
        "runner",
        "self-hosted",
        "repositories"
      ]
    },
    {
      "name": "Looker Studio",
      "level": "Advanced",
      "keywords": [
        "Dashboarding",
        "datastudio",
        "data studio",
        "visualization",
        "bi",
        "google",
        "reporting",
        "charts",
        "kpi",
        "dashboard",
        "data connectors",
        "sharing"
      ]
    },
    {
      "name": "Power BI",
      "level": "Intermediate",
      "keywords": [
        "Dashboarding",
        "powerbi",
        "bi",
        "microsoft",
        "visualization",
        "reporting",
        "dax",
        "datasets",
        "service",
        "desktop",
        "analytics"
      ]
    },
    {
      "name": "Redash",
      "level": "Intermediate",
      "keywords": [
        "Dashboarding",
        "visualization",
        "sql",
        "dashboard",
        "bi",
        "open source",
        "queries",
        "charts",
        "sharing",
        "data sources"
      ]
    },
    {
      "name": "Jira",
      "level": "Advanced",
      "keywords": [
        "Agile",
        "agile",
        "project management",
        "kanban",
        "scrum",
        "tasks",
        "issues",
        "sprints",
        "backlog",
        "roadmap",
        "atlassian"
      ]
    },
    {
      "name": "Scrum",
      "level": "Advanced",
      "keywords": [
        "Agile",
        "agile",
        "methodology",
        "sprints",
        "standups",
        "retrospectives",
        "sprint planning",
        "story points",
        "product owner",
        "ceremonies"
      ]
    },
    {
      "name": "Confluence",
      "level": "Advanced",
      "keywords": [
        "Agile",
        "documentation",
        "wiki",
        "collaboration",
        "knowledge base",
        "atlassian",
        "pages",
        "spaces",
        "team",
        "notes"
      ]
    },
    {
      "name": "Apache Airflow",
      "level": "Advanced",
      "keywords": [
        "Orchestration",
        "airflow",
        "orchestration",
        "workflow",
        "dag",
        "python",
        "data engineering",
        "scheduler",
        "tasks",
        "operators",
        "xcom",
        "etl",
        "cloud composer",
        "composer"
      ]
    },
    {
      "name": "Zapier",
      "level": "Intermediate",
      "keywords": [
        "Orchestration",
        "automation",
        "integration",
        "low code",
        "workflow",
        "zaps",
        "triggers",
        "actions",
        "no code",
        "apps",
        "saas"
      ]
    },
    {
      "name": "Pytest",
      "level": "Advanced",
      "keywords": [
        "Testing Frameworks",
        "python",
        "testing",
        "unit test",
        "automation",
        "fixtures",
        "mocking",
        "parametrize",
        "plugins",
        "coverage"
      ]
    },
    {
      "name": "unittest",
      "level": "Advanced",
      "keywords": [
        "Testing Frameworks",
        "python",
        "testing",
        "unit test",
        "standard library",
        "mock",
        "assertions",
        "test cases",
        "test suite",
        "tdd"
      ]
    },
    {
      "name": "Selenium",
      "level": "Intermediate",
      "keywords": [
        "Testing Frameworks",
        "automation",
        "web",
        "browser",
        "testing",
        "qa",
        "webdriver",
        "e2e",
        "integration",
        "ui testing",
        "scraping"
      ]
    },
    {
      "name": "TDD",
      "level": "Intermediate",
      "keywords": [
        "Testing Frameworks",
        "test driven development",
        "agile",
        "quality",
        "clean code",
        "red-green-refactor",
        "unit tests",
        "bdd",
        "coverage",
        "design"
      ]
    },
    {
      "name": "Cloud Logging",
      "level": "Intermediate",
      "keywords": [
        "Logging",
        "gcp",
        "google cloud",
        "monitoring",
        "observability",
        "logs",
        "log explorer",
        "alerts",
        "metrics",
        "audit",
        "stackdriver"
      ]
    },
    {
      "name": "New Relic",
      "level": "Familiar",
      "keywords": [
        "Logging",
        "monitoring",
        "apm",
        "observability",
        "performance",
        "tracing",
        "dashboards",
        "alerts",
        "logs",
        "distributed tracing",
        "infrastructure"
      ]
    },
    {
      "name": "Facebook Ads",
      "level": "Intermediate",
      "keywords": [
        "Social \u0026 Search Ads",
        "meta",
        "marketing",
        "advertising",
        "social media",
        "paid ads",
        "facebook",
        "instagram",
        "campaigns",
        "targeting",
        "pixel"
      ]
    },
    {
      "name": "Google Ads",
      "level": "Intermediate",
      "keywords": [
        "Social \u0026 Search Ads",
        "sem",
        "marketing",
        "advertising",
        "search",
        "paid ads",
        "adwords",
        "ppc",
        "campaigns",
        "keywords",
        "display"
      ]
    },
    {
      "name": "Google Analytics",
      "level": "Intermediate",
      "keywords": [
        "Social \u0026 Search Ads",
        "ga",
        "tracking",
        "web analytics",
        "data",
        "measurement",
        "ga4",
        "events",
        "conversions",
        "audience",
        "reports"
      ]
    },
    {
      "name": "Google Ad Manager",
      "level": "Intermediate",
      "keywords": [
        "Social \u0026 Search Ads",
        "gam",
        "advertising",
        "monetization",
        "publisher",
        "dfp",
        "ad units",
        "line items",
        "trafficking",
        "yield management"
      ]
    },
    {
      "name": "Windows",
      "level": "Advanced",
      "keywords": [
        "Operating Systems",
        "os",
        "operating system",
        "microsoft",
        "desktop",
        "powershell",
        "registry",
        "active directory",
        "wsl",
        "cmd"
      ]
    },
    {
      "name": "Linux",
      "level": "Advanced",
      "keywords": [
        "Operating Systems",
        "os",
        "operating system",
        "bash",
        "terminal",
        "server",
        "unix",
        "ubuntu",
        "debian",
        "centos",
        "ssh",
        "permissions"
      ]
    },
    {
      "name": "Vertex AI",
      "level": "Advanced",
      "keywords": [
        "AI Tooling",
        "google cloud",
        "gcp",
        "ai",
        "ml",
        "machine learning",
        "llm",
        "generative ai",
        "model deployment",
        "vertex",
        "gemini",
        "mlops",
        "pipelines"
      ]
    },
    {
      "name": "Claude Code",
      "level": "Advanced",
      "keywords": [
        "AI Tooling",
        "anthropic",
        "claude",
        "ai",
        "llm",
        "coding assistant",
        "agentic",
        "cli",
        "developer tools",
        "code generation",
        "ai assistant"
      ]
    },
    {
      "name": "GitHub Copilot",
      "level": "Intermediate",
      "keywords": [
        "AI Tooling",
        "github",
        "ai",
        "coding assistant",
        "llm",
        "code completion",
        "developer tools",
        "openai",
        "copilot",
        "autocomplete",
        "pair programming"
      ]
    },
    {
      "name": "Factory AI",
      "level": "Intermediate",
      "keywords": [
        "AI Tooling",
        "ai",
        "developer tools",
        "coding assistant",
        "automation",
        "software factory",
        "agents",
        "code generation",
        "engineering"
      ]
    }
  ],
  "languages": [
    {
      "language": "Portuguese",
      "fluency": "Native"
    },
    {
      "language": "English",
      "fluency": "Full professional proficiency"
    },
    {
      "language": "French",
      "fluency": "Intermediate"
    },
    {
      "language": "Spanish",
      "fluency": "Intermediate"
    }
  ],
  "meta": {
    "canonical": "https://ewerton.com.br/resume.json",
    "version": "2026.09.10",
    "lastModified": "2026-09-10T00:00:00-03:00",
    "language": "en",
    "generator": "ewerton-go (generated from https://ewerton.com.br)"
  }
}