Monthly work summary for 2025-10 focusing on the prefeitura-rio/queries-rj-sms repository. Key feature delivered includes expanding the data filtering scope and enriching cancer surveillance data with sociodemographic attributes and origin/executing establishments to enable earlier and more granular analysis.

September 2025 monthly summary highlighting key business value and technical achievements for the prefeitura-rio/queries-rj-sms workstream. Focused on delivering reliable data extraction and improving data quality for downstream analytics and reporting.

July 2025 focused on stabilizing data flows and improving data quality across two Rio de Janeiro SMS data projects. In prefeitura-rio/queries-rj-sms, fixed a type-casting bug in the lista_usuario SQL query by ensuring the cap field is cast to integer, preventing run-time type errors and ensuring accurate user-cap data. In prefeitura-rio/pipelines_rj_sms, corrected the upper bound logic for date-range filters from 'lt' to 'lte' across the data extraction workflow (minhasaude_mongodb/tasks.py and mirrored in extrair_fatia_para_datalake), ensuring inclusive date ranges and complete data ingestion. These fixes reduce runtime errors, increase data completeness, and improve downstream analytics. Commits associated include 54a537c49a615b1412ee80d70d58923eeea46ea7, dff522cefc8e52cc5917602b2a10ee9fb2c98605, and 8e368a7374d2bc35d22d70478c8714bc8fec873f.

June 2025 – Prefeitura Rio / Queries RJ SMS: Executed a comprehensive AP data integration overhaul coupled with schema and model updates, introduced new SIH modeling for the C34 research project, and added project-wide variables to support ongoing feature work. Completed extensive bug fixes across AP integration and general modules, along with targeted refactors to improve maintainability and data quality. Business impact includes more accurate AP-derived metrics, streamlined ETL pipelines, and a foundation for faster feature delivery.

May 2025 monthly summary focused on delivering data pipeline improvements, richer data models, and improved data quality across two Rio de Janeiro data platforms. The team delivered cross-source CPF reconciliation, expanded cancer analytics data structures, enhanced SISREG data models and lifecycle handling, and fortified pipeline reliability with standardized date processing and robust CI/logging. The work also included data enrichment for monitoring datasets and health-unit location consolidation, a major DBT refactor, and the introduction of CPF completeness reporting. Critical bug fixes stabilized configuration parsing and data type handling.

April 2025 monthly performance summary for Prefeitura Rio data pipelines and analytics work. Focused on delivering reliable data ingestion and processing capabilities across SISREG, NPS, TME, and retornos domains, while improving data quality and system maintainability. Achievements span end-to-end data pipelines, new data models, dbt integrations, and targeted bug fixes that reduce data errors and improve operational efficiency.

February 2025: Delivered a major codebase refactor, expanded data ingestion and enrichment capabilities, and strengthened observability across pipelines_rj_sms and queries-rj-sms. The changes improved maintainability, data quality, and dashboard reliability, enabling faster onboarding and more accurate analytics for business users.

Month: 2025-01 — Delivered end-to-end data quality, reporting clarity, and pipeline reliability improvements across prefeitura-rio/queries-rj-sms and prefeitura-rio/pipelines_rj_sms. Focused on enhancing the SUS professional data model, refining ambulatory vacancies processing, clarifying SISREG reporting, and hardening end-to-end data extraction/loading for oferta_programada with robust error handling and observability.

December 2024 monthly summary for prefeitura-rio/queries-rj-sms. Focused on delivering data model improvements, reporting enhancements, and governance hygiene that collectively increase analytics value for healthcare demographics and SISREG reporting, while improving maintainability and deployment confidence.

Delivered key data-model and analytics enhancements in 2024-11 for prefeitura-rio/queries-rj-sms, focusing on schema normalization, data quality improvements, and anomaly detection to strengthen health workforce analytics and reporting.

October 2024 monthly summary for prefeitura-rio/queries-rj-sms: delivered data quality improvements for ambulatory care data and CPF enrichment for CNES professionals; two commits issued; improved reporting and analytics.