
During May 2026, contributed to the basedosdados/pipelines repository by developing two core data engineering features focused on municipal PIB data and PNADc dictionary workflows. Built an end-to-end ETL pipeline in Python and SQL to automate downloading, cleaning, and exporting PIB data from IBGE, standardizing schemas for downstream analytics. Additionally, implemented a Python-based ingestion and standardization process for the PNADc dictionary, including type normalization, de-duplication, and referential integrity checks, with dbt quality tests to ensure data reliability. Standardized data models and pipelines, aligning BigQuery and API columns, and introduced automated validation to enhance data quality and maintainability across workflows.
May 2026 monthly summary for basedosdados/pipelines: Contributed to two major data engineering initiatives: one for municipal PIB data and another for PNADc dictionary management. Delivered end-to-end ETL and export for PIB data, and implemented a robust PNADc dictionary ingestion, standardization, and materialization workflow, enhancing data accessibility, consistency, and usability for downstream analytics and reporting.
May 2026 monthly summary for basedosdados/pipelines: Contributed to two major data engineering initiatives: one for municipal PIB data and another for PNADc dictionary management. Delivered end-to-end ETL and export for PIB data, and implemented a robust PNADc dictionary ingestion, standardization, and materialization workflow, enhancing data accessibility, consistency, and usability for downstream analytics and reporting.

Overview of all repositories you've contributed to across your timeline