Data Engineer & Automation

São Paulo, Brazil

I am a Data Engineer with expertise in building robust data pipelines and analytical solutions for economic and public policy systems. My work focuses on transforming complex data sources into actionable insights utilizing advanced Python and R programming, alongside modern data architectures. Additionally, I am continuously expanding my knowledge in cybersecurity applied to the financial sector.

• Data Engineering: Java • Python • R • Kotlin • SQL • Apache Spark • dbt • Databricks
• Cloud & Infrastructure: Oracle • AWS • Azure • Google Cloud • Snowflake
• Machine Learning: Scikit-learn • TensorFlow • NLP • MLOps
• Analytics & BI: Streamlit • Shiny • Jupyter • Power BI

Focus Areas: Public Policy Analytics • Economic Data • Financial Cybersecurity

• ETL Project with Python and Google BigQuery

  This project contains a production-ready ETL pipeline built in Python and designed to run on Google Cloud Platform using BigQuery as the main storage layer.

• SP Government Budget Analytics

  In this repository, I documented an analytical engineering framework designed for public sector financial data. The architecture uses SQL and dbt (Data Build Tool) to transform raw financial records from the Ministry of Finance's Oracle database into a dimensional model. During my time working for the São Paulo State Government, I developed and applied this data engineering methodology to monitor public spending, detect financial anomalies, and optimize processes within the Budget Planning Management.

Currently focused on data engineering and automation at FGV IBRE, where I develop internal platforms (such as the SPR system) to streamline data analysis. I am dedicated to building production-ready solutions that bridge the gap between raw economic data and strategic decision-making.

LinkedIn • Medium