
Over a three-month period, contributed to prefeitura-rio’s data engineering initiatives by developing and enhancing data pipelines and scheduling systems across the pipelines_rj_sms and queries-rj-sms repositories. Delivered features such as Google Sheets integration for team-specific schedule extraction, unified scheduling frameworks, and improved CDI data models and dashboards. Leveraged Python, SQL, and DBT to implement configuration-driven pipelines, hourly and four-hour data extraction cadences, and robust data privacy compliance. Addressed data quality by refining SQL queries, standardizing naming conventions, and fixing logic bugs. These efforts improved data freshness, reliability, and governance, supporting scalable analytics and secure, compliant data management for multiple teams.
February 2026 monthly summary for prefeitura-rio/pipelines_rj_sms and prefeitura-rio/queries-rj-sms. Focused on delivering scalable scheduling, data integrity, security, and privacy compliance to improve data freshness, reliability, and business insight across the SMS pipelines and CDI/DBT reporting layers.
February 2026 monthly summary for prefeitura-rio/pipelines_rj_sms and prefeitura-rio/queries-rj-sms. Focused on delivering scalable scheduling, data integrity, security, and privacy compliance to improve data freshness, reliability, and business insight across the SMS pipelines and CDI/DBT reporting layers.
January 2026 performance summary for Prefeitura Rio data engineering and analytics. Delivered cross-repo data platform enhancements to improve data organization, freshness, and reliability: CDI data model and dashboard enhancements; deployment security and repository hygiene improvements; and expanded data extraction with hourly scheduling and 2026 data flows. These changes enhance end-user reporting, reduce deployment risk, and enable near real-time visibility across teams.
January 2026 performance summary for Prefeitura Rio data engineering and analytics. Delivered cross-repo data platform enhancements to improve data organization, freshness, and reliability: CDI data model and dashboard enhancements; deployment security and repository hygiene improvements; and expanded data extraction with hourly scheduling and 2026 data flows. These changes enhance end-user reporting, reduce deployment risk, and enable near real-time visibility across teams.
Month: 2025-12. Summary: Delivered a new Schedules Extraction Configuration for Google Sheets targeting the Equipe Individual team within prefeitura-rio/pipelines_rj_sms, enabling team-specific schedule data extraction and improved data governance. The change was implemented via commit f0cbac148d95ccbe6dd9f19a350079f9b197f6c9 with the message: Adjust schedules extraction for CDI equipe tutela individual, aligning extraction logic with CDI requirements. No major bugs reported for this scope during the month. Overall impact: enhances data availability and accuracy for scheduling data, reduces manual work, and sets the foundation for scalable, configurable pipelines. Technologies/skills demonstrated: Google Sheets integration, configuration-driven data pipelines, version-controlled development, and cross-team alignment.
Month: 2025-12. Summary: Delivered a new Schedules Extraction Configuration for Google Sheets targeting the Equipe Individual team within prefeitura-rio/pipelines_rj_sms, enabling team-specific schedule data extraction and improved data governance. The change was implemented via commit f0cbac148d95ccbe6dd9f19a350079f9b197f6c9 with the message: Adjust schedules extraction for CDI equipe tutela individual, aligning extraction logic with CDI requirements. No major bugs reported for this scope during the month. Overall impact: enhances data availability and accuracy for scheduling data, reduces manual work, and sets the foundation for scalable, configurable pipelines. Technologies/skills demonstrated: Google Sheets integration, configuration-driven data pipelines, version-controlled development, and cross-team alignment.

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