March 2026 monthly summary for prefeitura-rio/queries-rj-iplanrio focused on delivering data quality improvements, schema normalization, and payroll model enhancements that significantly improve reporting accuracy and maintainability.

February 2026: Delivered core data-model enhancements, robust geographic data enrichment, and cross-model alignment to improve data capture, integrity, and analytics readiness across prefeitura-rio/prefect_rj_iplanrio and prefeitura-rio/queries-rj-iplanrio. Key efforts included adding the endereco field to the Processo table, introducing uf_codigo_ibge with ETL improvements and more resilient joins, hardening data integrity for id_categoria with tests and metadata updates, and aligning contrato_id types to ensure cross-model compatibility. These changes boost data completeness, reliability of joins, and consistency across datasets, enabling more accurate reporting and business insights. Demonstrated proficiency across SQL modeling, dbt testing, datetime parsing, validation, and YAML/schema alignment.