At Better Collective, I led an end-to-end data platform modernization from Redshift to MotherDuck, including parity checks and dbt transformations. I built Python dltHub ingestion pipelines and reusable Dagster asset factories.
I also developed automated data quality frameworks using dbt, snapshots, Slack, and Google Sheets. With Cursor and MotherDuck MCP, I helped non-technical stakeholders write and test data quality checks independently.
At CI&T, I worked on the ABInbev project, extracting and transforming data from APIs, MongoDB, CSVs, and ERP systems. I led Databricks initiatives involving Delta Lake and Data Mesh standards, and collaborated with data science teams on recommendation systems.
Earlier, at Sigalei, I engineered pipelines for public, social media, and news data, and contributed to NLP projects. My work included Python, REST APIs, and data processing with Apache Beam.
