
Over a three-month period, contributed to prefeitura-rio/prefect_rj_iplanrio by building and enhancing data pipelines and notification systems focused on observability, reliability, and real-time analytics. Developed features such as Discord and webhook notification enhancements, multi-year data retrieval, and automated quality-score filtering, leveraging Python, SQL, and BigQuery. Implemented end-to-end data flows from APIs like BetterStack and WeTalkie into BigQuery, supporting uptime analysis and incident tracking. Improved engineering hygiene through CI/CD automation, Dockerized environments, and robust dependency management. The work emphasized scalable backend development, cloud data engineering, and proactive monitoring, enabling teams to respond quickly and make data-driven decisions.
February 2026 monthly summary for prefeitura-rio/prefect_rj_iplanrio: Delivered two major features with targeted reliability improvements and stabilized automation, enabling better monitoring and data reliability across webhook and HSM data pipelines.
February 2026 monthly summary for prefeitura-rio/prefect_rj_iplanrio: Delivered two major features with targeted reliability improvements and stabilized automation, enabling better monitoring and data reliability across webhook and HSM data pipelines.
January 2026 monthly summary: Implemented substantial data pipeline enhancements and uptime analytics capabilities across two Rio de Janeiro repositories. Delivered feature-rich pipelines that improve data ingestion reliability, enable proactive monitoring, and support analytics for business decisions. Key outcomes include improved BetterStack API handling, a new WhatsApp whitelist pipeline to BigQuery, and comprehensive EAI uptime KPI tracking with JSON-based incident processing. Addressed reliability gaps with code cleanups and migration to robust JSON parsing, and maintained high standards of engineering hygiene through pre-commit automation and CI improvements.
January 2026 monthly summary: Implemented substantial data pipeline enhancements and uptime analytics capabilities across two Rio de Janeiro repositories. Delivered feature-rich pipelines that improve data ingestion reliability, enable proactive monitoring, and support analytics for business decisions. Key outcomes include improved BetterStack API handling, a new WhatsApp whitelist pipeline to BigQuery, and comprehensive EAI uptime KPI tracking with JSON-based incident processing. Addressed reliability gaps with code cleanups and migration to robust JSON parsing, and maintained high standards of engineering hygiene through pre-commit automation and CI improvements.
In December 2025, delivered two major capabilities for prefeitura-rio/prefect_rj_iplanrio that significantly improved observability and real-time communications: (1) Discord Webhook Notification System Enhancements, including scheduling, message templates, and three new pipelines for delivering updates and quality notifications; (2) Monitoring Data Pipeline to BigQuery (BetterStack), enabling extraction of monitoring and incident data from the BetterStack API into BigQuery for uptime analysis and historical incident tracking. These efforts improved real-time visibility, reliability, and data-driven incident analysis across teams, enabling faster response and better SLA reporting.
In December 2025, delivered two major capabilities for prefeitura-rio/prefect_rj_iplanrio that significantly improved observability and real-time communications: (1) Discord Webhook Notification System Enhancements, including scheduling, message templates, and three new pipelines for delivering updates and quality notifications; (2) Monitoring Data Pipeline to BigQuery (BetterStack), enabling extraction of monitoring and incident data from the BetterStack API into BigQuery for uptime analysis and historical incident tracking. These efforts improved real-time visibility, reliability, and data-driven incident analysis across teams, enabling faster response and better SLA reporting.

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