dataforgoodfr/13_odis
Dec 2025 – Dec 2025
1 Month active
Languages Used
JSONPythonSQLYAML
Technical Skills
API integrationPython developmentSQLdata engineeringdata modelingdatabase management
Sami B. Torres
PROFILE
Sami B. Torres
Sami Torres developed analytics data infrastructure and aligned data models for the dataforgoodfr/13_odis repository, focusing on building a reproducible development environment and a data pipeline for ingesting data from multiple sources. Using Python, SQL, and dbt, Sami established scripts to manage dependencies and ensured that data model names were consistent across YAML and SQL files, addressing previous naming drift issues such as with population_nb_menages. This work improved data integrity and analytics readiness, laying a foundation for maintainable, repeatable deployments. The project enhanced the codebase’s clarity and usability, supporting future dashboard development and streamlining onboarding for new contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
199,338
Activity Months1
Your Network
18 peopleShared Repositories
18
Arthur HavlicekMember
kloudkraftsMember
apibracMember
antoningarMember
gustelleMember
HAMIDI AminMember
Henry D.Member
salma-hnanaMember
Jean-Baptiste-NMember
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 — Delivered Analytics Data Infrastructure and Data Model Alignment for dataforgoodfr/13_odis. Established a reproducible development environment with dependency scripts and a data pipeline for multi-source data ingestion; aligned data model names across YAML and SQL files to ensure consistency, data integrity, and analytics usability. Investigated an initial modification to population_nb_menages that did not work as intended and completed the model-name alignment with SQL definitions. Result: stronger data foundation for dashboards, improved analytics readiness, and a cleaner codebase.
2 Commits • 1 Features
Dec 1, 2025December 2025 — Delivered Analytics Data Infrastructure and Data Model Alignment for dataforgoodfr/13_odis. Established a reproducible development environment with dependency scripts and a data pipeline for multi-source data ingestion; aligned data model names across YAML and SQL files to ensure consistency, data integrity, and analytics usability. Investigated an initial modification to population_nb_menages that did not work as intended and completed the model-name alignment with SQL definitions. Result: stronger data foundation for dashboards, improved analytics readiness, and a cleaner codebase.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
JSONPythonSQLYAML
Technical Skills
API integrationPython developmentSQLdata engineeringdata modelingdatabase managementdbt
Repositories Contributed To
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