I’m a Data Engineer at TIM Brazil, passionate about building scalable data solutions and applying Machine Learning to Big Data challenges. My mission is to transform large datasets into valuable insights and innovative products for the telecommunications industry.

• 🔭 Currently working with Python, SQL, and Airflow to build complex pipelines
• 🌱 Expanding skills in Cloud (AWS, GCP) and the modern data stack
• 🤝 Open to collaborating on Data Engineering and MLOps open-source projects
• 💬 Ask me about Python, Data Orchestration, Big Data, and ML in production

End-to-end pipeline that extracts weather API data, orchestrates with Airflow, loads into PostgreSQL, and serves insights via a Streamlit dashboard. Containerized with Docker and deployed on AWS.
Stack: Airflow · Docker · AWS · PostgreSQL · Streamlit · Pandas

Simulated RAN traffic system generating synthetic telecom data with Faker. Orchestrated with Airflow, processed with Pandas/SQL, and visualized on Streamlit. Includes validation with Pydantic.
Stack: Python · Airflow · Docker · PostgreSQL · Streamlit · SQLAlchemy

Sentiment classification for Portuguese texts using NLP techniques and ML models. Focus on preprocessing, feature extraction, and model evaluation.
Stack: Python · spaCy · NLTK · Pandas · NumPy · Matplotlib

A full-stack CRUD application with a FastAPI backend and Streamlit frontend. Fully containerized with Docker, showcasing API and front-end integration.
Stack: FastAPI · Streamlit · Docker · PostgreSQL

Data Orchestration

Data Processing & Transformation

Databases & Storage

ML & Data Science

Languages, Cloud & DevOps