basedosdados/pipelines
Oct 2025 – Jan 2026
2 Months active
Languages Used
PythonSQLStataYAML
Technical Skills
Python package managementSQLdatabase managementdependency managementDBTStata
Ricardo Dahis
PROFILE
Ricardo Dahis
Over two months, Rafael Dahis enhanced the basedosdados/pipelines repository by upgrading the SEEG data model to version 13.0, incorporating emissions data from 1970 to 2024 and introducing new SQL models for municipality and state-level analytics. He improved data integrity and governance by implementing DBT tests and a data reference dictionary, while optimizing SQL model configurations for performance. Rafael stabilized the data pipeline by correcting SQL partitioning for accurate dashboard coverage and managing Python dependencies, particularly with pymssql. His work, using Python, SQL, and DBT, addressed technical debt and ensured reliable, high-quality data delivery for emissions analytics workflows.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
7Total
Bugs
3
Commits
7
Features
2
Lines of code
770
Activity Months2
Your Network
8 peopleShared Repositories
8
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
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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
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