
Arnaldo Lima developed foundational analytics infrastructure for the prefeitura-rio/queries-rj-iplanrio repository, focusing on daycare management and educational program participation. He designed and implemented robust data models in SQL and dbt, enabling reliable ETL pipelines for tracking daycare registrations, children, and responsible parties, as well as student participation in educational programs. His work included standardizing address fields, aligning dbt project configurations, and cleaning up obsolete schema definitions to improve data consistency and maintainability. By refining YAML configurations and resolving CI/CD pipeline errors, Arnaldo ensured stable deployments and enhanced data quality, demonstrating depth in data engineering and transformation practices.
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.

Overview of all repositories you've contributed to across your timeline