July 2025 focused on delivering the SubPAV platform feature for prefeitura-rio/queries-rj-sms and reinforcing data infrastructure to support symptomatic respiratory patient analytics.

June 2025 performance summary for prefeitura-rio data pipelines and analytics. Focused on delivering scalable data ingestion, scheduling stability, and richer reporting capabilities across two repositories. Key outcomes include refactored CNES APS and Acesso Mais Seguro data pipelines with standardized scheduling, TEA data reports ingestion from Google Drive, and expanded data models with macros for robust data processing and BigQuery compatibility. The work reduced manual scheduling toil, improved data quality, and enabled faster, more reliable BI insights for public health dashboards. What changed (highlights): - CNES APS and AMS data pipelines: new ingestion paths, standardized schedules, and aligned execution frequencies across sources. Commit trail includes: 9a8d3f42de7b7b413d1e7a913a21c2f01bde3a05; 0ab2396470bf026938dc464f5fcfea5055f4949f; 2dd8792a783bbc319eeea6b0e39e936141338f60; 241c1771c69016e6e4e5f637b650a6f1027a226f; 1b7cfe65367fd8a4c0ec923cf539bf54c67ae894; d205242407a7af7b54a2b4eb64ec2bb7448b7d57; 885ec2dc5420632c7abdc86cb77e1fae83ab52a5; c6125ce1fa952af8391879798e588c804e389327; 5c97a02988cc3f0dc5dc1a1ac72e0bbe122fdc20; 725c50414a28e3451954c17c1c6cecaba0460f24; 74b1c22762681b17a2a83296825d0281d7a0b6ed. - TEA data reports ingestion (Pacientes TEA and Listagem TEA): added GDrive-based Pacientes TEA schedule, and Listagem TEA column-size adjustments for compatibility with downstream BI. Commits: b01deb945b6b74da8d70c184b36efb139d81199b; 15ee3c785a4399ad333de2ea8590f958b472706e. - Queries-rj-sms data modeling: introduced new indicators-related models (Ficha C, TEA, SISVAN, under-5 children) and SQL macros to date parse and normalize data for smoother reporting. Commit: 3a0c263add817583b8d18d094350e4b5aa635aae. Impact and business value: - Increased data reliability and timeliness, reducing BI wait times and enabling faster decision-making for public health initiatives. - Improved data governance with standardized scheduling, duplicate flow prevention, and clearer data lineage. - Expanded analytics capabilities with richer data models and macros, enabling more comprehensive indicators and regulatory reporting. Technologies/skills demonstrated: - Data engineering: pipeline refactors, scheduling orchestration, and flow management. - Data modeling and SQL automation: new data models and macros for date parsing and normalization. - Cloud analytics: BigQuery compatibility and Google Drive data ingestion integration. - Quality and governance: deduplication, parameterized scheduling, and robust flow registration.

May 2025 monthly summary for prefeitura-rio/pipelines_rj_sms focused on delivering standardized data pipelines, enhanced ingestion into the data lake, and robust data processing for key health datasets. Achievements include schema standardization, expanded reports, and improved data completeness and reliability across SISVAN and SUBPAV pipelines, with better integration to GDrive and BigQuery storage.