
Over a two-month period, contributed to prefeitura-rio/queries-rj-iplanrio by building foundational analytics solutions for daycare management and educational program participation. Developed comprehensive data models and ETL pipelines using SQL and dbt, focusing on accurate data extraction, standardized address fields, and schema alignment to support robust BigQuery analytics. Enhanced project maintainability by cleaning up obsolete definitions, refining YAML configurations, and ensuring data type consistency across models. Improved CI/CD pipeline reliability for student participation analytics by addressing model definition errors and streamlining deployment processes. The work established a reliable, scalable data warehousing foundation for downstream dashboards and analytics within the repository.
December 2025 monthly summary for prefeitura-rio/queries-rj-iplanrio. Key features delivered include the initialization of a dbt-based educational program participation data model, standardization and cleanup of the dbt project schema, and CI/CD pipeline reliability improvements for student participation models. These efforts established a robust foundation for analytics on student participation and improved pipeline stability and maintainability.
December 2025 monthly summary for prefeitura-rio/queries-rj-iplanrio. Key features delivered include the initialization of a dbt-based educational program participation data model, standardization and cleanup of the dbt project schema, and CI/CD pipeline reliability improvements for student participation models. These efforts established a robust foundation for analytics on student participation and improved pipeline stability and maintainability.
Month: 2025-10 — Delivered a robust daycare analytics foundation within prefeitura-rio/queries-rj-iplanrio, focused on Gestao Creche Daycare Management data modeling and ETL stabilization. Key outcomes include implemented data models for daycare registrations, children, and responsible parties; ETL readiness with corrected extraction timestamps; standardized address fields; and alignment of dbt project configurations, with removal of obsolete schema definitions and targeted data type fixes to support BigQuery analytics.
Month: 2025-10 — Delivered a robust daycare analytics foundation within prefeitura-rio/queries-rj-iplanrio, focused on Gestao Creche Daycare Management data modeling and ETL stabilization. Key outcomes include implemented data models for daycare registrations, children, and responsible parties; ETL readiness with corrected extraction timestamps; standardized address fields; and alignment of dbt project configurations, with removal of obsolete schema definitions and targeted data type fixes to support BigQuery analytics.

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