February 2026 monthly summary for prefeitura-rio/pipelines_rj_sms: Delivered production environment transition for data pipelines and table configuration enhancements, with fixes in staging to ensure reliable data transfer. The work improved reliability, security, and readiness for production deployment; commits targeted the bq_to_mysql path in staging to fix issues.

January 2026 performance highlights: delivered core data platform enhancements across the Rio de Janeiro health data pipelines, prioritizing robust data models, reliable ETL, and maintainability. Key work spanned the pipelines_rj_sms and queries_rj_sms repositories, delivering feature implementations, critical fixes, and code-quality improvements that collectively raise data integrity, processing efficiency, and business visibility.

2025-12 Monthly Summary: Delivered critical data integration and pipeline enhancements for SINAN-RIO tuberculosis notifications and SINAN Rio data flow. Key outcomes include unifying legacy and new data sources into a consolidated data model, expanding ETL configurations with new data marts for Subpav integration, and refining extraction/loading parameters to improve data accessibility, reporting accuracy, and pipeline reliability. These efforts strengthen data governance and support faster, data-driven public health decisions.

Month: 2025-11 – Performance Review–Oriented Monthly Summary for development work focused on business value and technical accomplishments. Key features delivered: - SINANRIO data extraction and loading base with scheduling and Google Cloud Storage integration: introduced legacy SINANRIO base with enhanced data extraction/loading; new flows, tasks, and schedules; MySQL targeting and GCS integration; extended scheduling config to include notificacao and tb_investiga tables. Commits: 7f0e03665f4c6aa3dd7ea41907bdaef401447810; f84b38734652f710f50f7b88bdb8be6544ebe76c. - Tuberculosis Data Model for SINAN Rio Legacy Data: added a new data model to ingest and process tuberculosis data from the legacy SINAN Rio system, enhancing data ingestion, processing capabilities, and downstream analytics. Commit: 6c78843b0f264b9a8309a2acd3fc9ebab3ef6651. - Secret management improvement for SINANRIO data extraction flow: addressed secret management issues by adding a parameter for the secret name to improve flexibility and security of the data pipeline. Commit: dc2c4de37bd42d47d545fb9643779a265f9c9be4.

Monthly performance summary for 2025-10: focused on delivering a TB exam results data pipeline for prefeitura-rio/queries-rj-sms. Implemented end-to-end workflows including metadata fetch, DBT model generation, and SQL linting; added patient name to exam results to improve data clarity and presentation. These changes streamline TB data processing, enhance reporting accuracy, and enable faster, more reliable data-sharing with public health dashboards.

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.