
Bruno Costa developed and enhanced data pipelines for the prefeitura-rio/prefect_rj_iplanrio repository, focusing on real-time monitoring, notification systems, and data reliability. He built end-to-end workflows integrating APIs such as BetterStack and WeTalkie, enabling automated extraction, transformation, and loading of incident and HSM data into BigQuery. Using Python, SQL, and Docker, Bruno implemented features like Discord and webhook notifications, multi-year data retrieval, and quality-score filtering to improve observability and incident response. His work emphasized robust engineering practices, including CI/CD automation and dependency management, resulting in reliable, maintainable pipelines that support analytics, uptime tracking, and cross-team collaboration.
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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