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claudioaf/README.md

👋 Hi, I’m Cláudio Falcão

I’m a Data Engineer and Technical Lead with over 7 years of experience building end-to-end data platforms, from ingestion and processing to analytics, governance, and business delivery.

I have strong expertise in Azure and Databricks, working mainly with Lakehouse architectures, batch and streaming pipelines, and data quality frameworks. I enjoy designing scalable, well-governed data solutions and turning business requirements into reliable technical implementations.


🔧 Main technologies

  • Languages: SQL, Python, PySpark
  • Data & Big Data: Databricks, Spark, Delta Lake, Structured Streaming, Unity Catalog
  • Cloud & Orchestration: Azure, Azure Data Factory, Azure DevOps (CI/CD)
  • BI & Analytics: Power BI, data modeling, DAX
  • AI & Automation: Data pipelines for AI use cases, OCR, RAG-based solutions, APIs with FastAPI

🚀 What I usually work on

  • Legacy data platform migrations to Databricks Lakehouse
  • Real-time and batch data pipelines
  • Data quality, validation, and governance
  • Data platforms that support AI-driven use cases
  • BI and Data Visualization with strong business alignment

I enjoy collaborating with cross-functional and international teams, mentoring engineers, and building data solutions that create real business impact.

📫 Feel free to connect with me on LinkedIn


📌You can see my Power BI portfolio clicking here 👉🔗

Pinned Loading

  1. PowerBI PowerBI Public

    This repository is intended for content developed using Dax and M language in Power BI.

    2 1

  2. Python Python Public

    This repository is intended for content developed in Python

    Jupyter Notebook 1

  3. SQL SQL Public

    This repository is intended for content developed in SQL (My SQL, Oracle, SQL Server)

    PLSQL 1

  4. ETL ETL Public

    This repository is intended for content developed using ETL techniques. We will use technologies like Pentaho and SSIS (Integration Services)

    Jupyter Notebook 1