basedosdados/pipelines
Oct 2025 – Jan 2026
2 Months active
Languages Used
PythonSQLStataYAML
Technical Skills
Python package managementSQLdatabase managementdependency managementDBTStata
Ricardo Dahis
PROFILE
Ricardo Dahis
Worked on the basedosdados/pipelines repository to enhance data pipeline stability and extend emissions data modeling. Focused on upgrading the SEEG data model to version 13.0, adding emissions data from 1970 to 2024, and introducing new SQL models by municipality and state. Improved data quality and governance by implementing DBT tests for field relationships and data integrity, and refined SQL model configurations for better performance. Addressed technical debt by correcting SQL partitioning for accurate dashboard coverage and managing Python package dependencies, particularly pymssql. Utilized Python, SQL, and DBT to deliver more reliable analytics and maintain compatibility across the data platform.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
7Total
Bugs
3
Commits
7
Features
2
Lines of code
770
Activity Months2
Your Network
10 peopleShared Repositories
10
Pedro CastroMember
Erick AraújoMember
Luana RodriguesMember
Larissa BritoMember
Laura AmaralMember
Luiz EduardoMember
Luiz EduardoMember
tricktxMember
folhesgabrielMember
Work History
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026: Delivered SEEG data model upgrade to v13.0 with emissions data (1970–2024), added SQL models by municipality/state, and implemented a data reference dictionary with DBT tests to ensure data integrity. Implemented SQL model configuration improvements to materialize models as tables for performance and refined the municipio schema. Fixed dependency stability by pinning pymssql to a compatible version. These changes enhance data quality, query performance, and governance, enabling faster, reliable analytics for emissions datasets.
5 Commits • 2 Features
Jan 1, 2026January 2026: Delivered SEEG data model upgrade to v13.0 with emissions data (1970–2024), added SQL models by municipality/state, and implemented a data reference dictionary with DBT tests to ensure data integrity. Implemented SQL model configuration improvements to materialize models as tables for performance and refined the municipio schema. Fixed dependency stability by pinning pymssql to a compatible version. These changes enhance data quality, query performance, and governance, enabling faster, reliable analytics for emissions datasets.
January 2026
October 2025
2 Commits
Oct 1, 2025October 2025: Focused on stabilizing the data pipeline in basedosdados/pipelines. Delivered targeted bug fixes to improve data accuracy and reliability, and maintained compatibility with supporting tooling. The month prioritized technical debt reduction and ensuring dashboards reflect correct coverage.
October 2025
2 Commits
Oct 1, 2025October 2025: Focused on stabilizing the data pipeline in basedosdados/pipelines. Delivered targeted bug fixes to improve data accuracy and reliability, and maintained compatibility with supporting tooling. The month prioritized technical debt reduction and ensuring dashboards reflect correct coverage.
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability94.2%
Architecture97.2%
Performance94.2%
AI Usage22.8%
Skills & Technologies
Programming Languages
PythonSQLStataYAML
Technical Skills
DBTPython package managementSQLStatadata analysisdata modelingdata validationdatabase managementdependency management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline