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GMCavalheri/README.md

Hi, I'm Gabriel Milanez Cavalheri 👋

Data Engineer | Data Scientist | Data Analyst

Physicist (UFSCar) pursuing an MBA in Artificial Intelligence and Big Data (USP).
I build end-to-end data pipelines, integrate Data Lakes with Data Warehouses, and apply Machine Learning to real-world problems.

LinkedIn Gmail

🚀 About Me

  • 🎓 B.Sc. in Physics — Universidade Federal de São Carlos (UFSCar), 2025
  • 📚 Currently pursuing an MBA in Artificial Intelligence and Big Data — Universidade de São Paulo (USP)
  • 🔭 Focused on data engineering (ETL pipelines, orchestration, Data Lake/Data Warehouse architecture) and applied Machine Learning
  • 🌱 Also explore Generative AI tooling and workflow automation (LLMs, n8n, Make)
  • 💬 Ask me about Python, SQL, Spark, Airflow, Docker, or Machine Learning
  • 🌎 Based in Mogi Guaçu, SP, Brazil

🛠️ Tech Stack

Languages & Data

Python R SQL Pandas NumPy

Data Engineering

Spark Airflow PostgreSQL MongoDB Docker Kubernetes

Machine Learning & AI

Scikit-Learn TensorFlow Keras NLP

Cloud, BI & Tools

AWS Power BI Git Django

📌 Featured Projects

🔗 Data Warehouse & Data Lake Integration with ETL Pipeline An ETL pipeline integrating a Data Lake with a relational Data Warehouse, supporting SQL queries from basic to advanced. Built with Python, PostgreSQL, PyArrow, DuckDB, and Polars — fully containerized with Docker, including tests and logging.

🔗 Currency Exchange ETL Pipeline Orchestrated with Airflow A pipeline that pulls world currency exchange rates against the US dollar via API, transforms the data, and serves it through a daily-updating dashboard. Orchestrated with Apache Airflow and containerized with Docker.

🔗 Smart Pokedex — Web App with Django + Redis + MySQL + LLM A Django web application that consumes data from the PokéAPI, store in a Redis cache and MySQL database and lets users query it in natural language through LLM integration.

📫 Reach me at gmcavalheri@gmail.com or on LinkedIn

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  1. fraud-detection-spark fraud-detection-spark Public

    Distributed fraud detection pipeline: PySpark ETL + MLlib, FastAPI, Streamlit, Docker

    Python

  2. Complete-ETL-Pipeline-with-Airflow Complete-ETL-Pipeline-with-Airflow Public

    Complete ETL Pipeline with Airflow and the Stack: Python, Pandas, SQLAlchemy, PostgreSQL, Docker

    Python

  3. Complete-BI-and-ETL-with-Data-Warehouse-and-Datalake Complete-BI-and-ETL-with-Data-Warehouse-and-Datalake Public

    ELT pipeline integrating a Data Lake (Polars, DuckDB, PyArrow) with a Postgres Data Warehouse — star schema built and tested with dbt, Dockerized end-to-end.

    Python

  4. currency-rates-aws-serverless currency-rates-aws-serverless Public

    Event-driven currency exchange-rate pipeline built entirely on AWS free-tier services (Lambda, S3, EventBridge, Glue, Athena) and defined as Terraform — the serverless companion to a self-hosted Ai…

    Python

  5. network-intrusion-detection network-intrusion-detection Public

    Network intrusion detection on NSL-KDD & CICIDS2017 with Spark/MLlib, FastAPI, and Streamlit — includes real threshold-calibration analysis (AUC 0.98 but F1 swings from 0.002 to 0.97 depending on c…

    Python

  6. Cash-Flow-Forecasting-with-Time-Series-and-Monte-Carlo-Simulation Cash-Flow-Forecasting-with-Time-Series-and-Monte-Carlo-Simulation Public

    Forecasts a financial time series with SARIMA and Prophet, then layers a Monte Carlo simulation on the forecast to generate confidence bands and risk scenarios (VaR/CVaR). Interactive Streamlit das…

    Python