prefeitura-rio/queries-rj-iplanrio
Oct 2025 – Oct 2025
1 Month active
Languages Used
SQLYAML
Technical Skills
BigQueryData EngineeringData ModelingData WarehousingSQLdbt
Arnaldo Lima
PROFILE
Arnaldo Lima
Arnaldo Lima developed a foundational daycare analytics platform within the prefeitura-rio/queries-rj-iplanrio repository, focusing on Gestao Creche Daycare Management. He designed and implemented comprehensive data models for daycare registrations, children, and responsible parties, ensuring ETL processes were stable and extraction timestamps accurate. Using SQL, dbt, and BigQuery, Arnaldo standardized address fields, corrected data types, and aligned dbt project configurations to streamline deployment and analytics compatibility. His work included removing obsolete schema definitions and improving data hygiene, resulting in consistent, reliable data structures that support downstream dashboards and analytics. The project demonstrates depth in data engineering and modeling practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
1,037
Activity Months1
Your Network
15 people
Work History
October 2025
6 Commits • 1 Features
Oct 1, 2025Month: 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.
6 Commits • 1 Features
Oct 1, 2025Month: 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.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQLYAML
Technical Skills
BigQueryData EngineeringData ModelingData WarehousingSQLdbt
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline