At Banco do Brasil, I lead a five-person Data Engineering & ML team as Product Owner, owning delivery and architecture decisions for a client-data domain supporting approximately 300 stakeholders. I oversee around 300 ETL and ML solutions across legacy and modern platforms.
At Banco do Brasil, I led optimization initiatives that reduced CPU and memory usage by up to 50% and improved execution time by up to 80%, cutting a critical pipeline from 30 hours to 6. I also drive legacy modernization and platform reliability for batch ML solutions used in regulated financial processes and client-facing work.
At CERC, I contributed to cloud cost optimizations that generated monthly savings of US$260,000 across multiple data products. I also designed and developed a data replication pipeline from Cloud SQL and Spanner to BigQuery, saving US$20,000 monthly compared with the legacy system.
As a freelance MQL5 developer, I developed automated trading systems for financial markets. I also built a production-inspired streaming and batch platform for the Distributed Weather Data Platform project.
