At ACT INVESTMENTS, I develop SQL and Python ETL pipelines and data-processing routines to prepare information for business and analytical needs. I also optimize SQL queries and develop Go APIs and backend services for data integration.
At FORD, I developed and maintained ETL/ELT pipelines using Google BigQuery, and worked on data modeling, data warehousing, and backend services with FastAPI. My work there also included SQL and Python automation and performance tuning.
For the NASA INTERNATIONAL SPACE APPS CHALLENGE, I developed a climate-data analysis and visualization solution using Python, pandas, and matplotlib, receiving the People’s Choice Award – Brazil. I’m focused on Data Engineering and data-driven solutions, with experience across industrial automation, applied research, and international technology projects.
