I’m a Machine Learingin Engineer with solid experience in large-scale environments across the financial and public sectors. I’ve worked on major projects at Bradesco, Banco do Brasil, BTG Pactual, and the AI Lab at the University of Brasília (UnB) — handling everything from data ingestion and transformation to production-grade pipelines and machine learning models. Skilled in Spark, Databricks, Hive, Teradata, Python, PySpark, SQL, and IWS, with hands-on experience in data engineering, performance optimization, data modeling, and MLOps using MLflow, Delta Live Tables, and Databricks Workflows. I’ve contributed to projects involving pipeline automation, financial data processing, Spark code optimization, and large-scale production deployments, always focused on efficiency, governance, and scalability. 📈 Passionate about machine learning engineering, scalable data architectures, and intelligent automation, continuously improving solutions that combine high performance and analytical intelligence.