dataforgoodfr/13_odis
Feb 2025 – Sep 2025
8 Months active
Languages Used
SQLYAMLBashMarkdownCSVJinjapythonsql
Technical Skills
Data EngineeringData ModelingData WarehousingDatabase DesignSQLdbt
Jean-Baptiste-N
PROFILE
Jean-baptiste-n
Jean-Baptiste Nez engineered robust data pipelines and analytics features for the dataforgoodfr/13_odis repository over eight months, focusing on regional employment and housing datasets. He designed and refactored multi-layer data models using dbt, SQL, and Python, enabling granular aggregations across communes, departments, and regions. His work included onboarding new data sources, enhancing ETL reliability, and standardizing schema management to improve data quality and downstream analytics. By integrating API-driven and CSV-based ingestion, automating exports, and clarifying documentation, Jean-Baptiste ensured scalable, maintainable workflows. His contributions addressed both feature delivery and critical bug fixes, resulting in a stable, production-ready data platform.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
74Total
Bugs
14
Commits
74
Features
30
Lines of code
1,781,026
Activity Months8
Your Network
18 peopleShared Repositories
18
Arthur HavlicekMember
kloudkraftsMember
apibracMember
antoningarMember
gustelleMember
HAMIDI AminMember
Henry D.Member
salma-hnanaMember
Kimberly BlackMember
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on dataforgoodfr/13_odis contributions, highlighting feature delivery, bug fixes, and business impact. The metrics emphasize value delivered to data exports and cross-feature data availability.
1 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on dataforgoodfr/13_odis contributions, highlighting feature delivery, bug fixes, and business impact. The metrics emphasize value delivered to data exports and cross-feature data availability.
September 2025
August 2025
9 Commits • 4 Features
Aug 1, 2025Monthly summary for 2025-08 (dataforgoodfr/13_odis): Focus on delivering features that enable granular regional analytics, improving data quality, and setting the stage for future BMO data integrations. Key features delivered include regional and multi-level employment data aggregation across gold and silver layers, 2024 employment data model enhancements and NOMBE24 refinements for accurate regional analytics, FAP2009 seed and FAP2021 alignment for BMO data, migration of services transformation to the gold layer with exports, BMO_2025 data source onboarding with extraction notebook scaffolding (noting an Excel loading issue to be addressed), and documentation clarification for recruitment metrics.
August 2025
9 Commits • 4 Features
Aug 1, 2025Monthly summary for 2025-08 (dataforgoodfr/13_odis): Focus on delivering features that enable granular regional analytics, improving data quality, and setting the stage for future BMO data integrations. Key features delivered include regional and multi-level employment data aggregation across gold and silver layers, 2024 employment data model enhancements and NOMBE24 refinements for accurate regional analytics, FAP2009 seed and FAP2021 alignment for BMO data, migration of services transformation to the gold layer with exports, BMO_2025 data source onboarding with extraction notebook scaffolding (noting an Excel loading issue to be addressed), and documentation clarification for recruitment metrics.
July 2025
6 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for dataforgoodfr/13_odis: Delivered a major Unified Data Model Refactor across silver and gold layers for employment and social housing, enabling broader regional aggregations (commune, arrondissement, department, region), dynamic year handling, and improved loading workflows for RPLS 2023. Introduced a 2024 social housing dataset filtered on 2024 with 2021 density metrics, and standardized region codes to two digits to ensure consistency across regions. Exported the logements_social tables globally and in a 2024-filtered variant for incremental updates; unified emploi_eff_prive silver with gold in the output pipeline. Implemented data tests/documentation updates and ensured RPLS 2023 load was prepared with safeguards not to affect main.
6 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for dataforgoodfr/13_odis: Delivered a major Unified Data Model Refactor across silver and gold layers for employment and social housing, enabling broader regional aggregations (commune, arrondissement, department, region), dynamic year handling, and improved loading workflows for RPLS 2023. Introduced a 2024 social housing dataset filtered on 2024 with 2021 density metrics, and standardized region codes to two digits to ensure consistency across regions. Exported the logements_social tables globally and in a 2024-filtered variant for incremental updates; unified emploi_eff_prive silver with gold in the output pipeline. Implemented data tests/documentation updates and ensured RPLS 2023 load was prepared with safeguards not to affect main.
July 2025
June 2025
28 Commits • 15 Features
Jun 1, 2025June 2025 - Dataforgoodfr/13_odis monthly summary: Delivered core data modeling features, hardened ETL, and geospatial mappings across silver, gold, and bronze layers; stabilized housing domain data and prepared for production analytics. Focused on business value through accurate INSEE mappings, robust gold/silver models, and improved data quality and governance.
June 2025
28 Commits • 15 Features
Jun 1, 2025June 2025 - Dataforgoodfr/13_odis monthly summary: Delivered core data modeling features, hardened ETL, and geospatial mappings across silver, gold, and bronze layers; stabilized housing domain data and prepared for production analytics. Focused on business value through accurate INSEE mappings, robust gold/silver models, and improved data quality and governance.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025: Delivered key data modeling, ingestion reliability, and quality improvements for dataforgoodfr/13_odis, focusing on housing data governance and end-to-end loading. Implemented bronze data models for social housing by commune, EPCI, department, and region; introduced a gold model and aligned documentation; reorganized data sources/notebook to separate social housing data; connected documentation across models. Enhanced CSV loading by reintroducing unzip loaders in datasources.yaml with preprocessor configuration to ensure correct handling of compressed data across multiple sources. Fixed a tooling compatibility issue by converting ODIS gold model column names to lowercase. These changes improve data consistency, reduce loading errors, and accelerate analytics across regional housing datasets.
5 Commits • 2 Features
May 1, 2025May 2025: Delivered key data modeling, ingestion reliability, and quality improvements for dataforgoodfr/13_odis, focusing on housing data governance and end-to-end loading. Implemented bronze data models for social housing by commune, EPCI, department, and region; introduced a gold model and aligned documentation; reorganized data sources/notebook to separate social housing data; connected documentation across models. Enhanced CSV loading by reintroducing unzip loaders in datasources.yaml with preprocessor configuration to ensure correct handling of compressed data across multiple sources. Fixed a tooling compatibility issue by converting ODIS gold model column names to lowercase. These changes improve data consistency, reduce loading errors, and accelerate analytics across regional housing datasets.
May 2025
April 2025
14 Commits • 4 Features
Apr 1, 2025April 2025: Delivered end-to-end data platform enhancements for dataforgoodfr/13_odis, expanding housing and employment data coverage, improving data quality, migrating reference data to gold, and stabilizing pipelines. Key features include: Housing data ecosystem enhancements (new models for annual departmental housing data, housing types, vacancy metrics; silver/gold layer refinements), Employment data expansion (cross-geo models across communes, departments, regions; enriched job-seeker data; new views/metrics; dbt tooling/macros), Education data extraction enhancements (broader fields, improved JSON extraction, fixes to environment variables and macros), and Geographical reference data migrated to gold layer for application readiness. Addressed major bugs (environment variable issues, macros not working, run failures) and improved tests and docs, leading to more reliable data delivery and faster analytics. Technologies: dbt, data modeling across bronze/silver/gold layers, macros, environment configuration, testing, and documentation.
April 2025
14 Commits • 4 Features
Apr 1, 2025April 2025: Delivered end-to-end data platform enhancements for dataforgoodfr/13_odis, expanding housing and employment data coverage, improving data quality, migrating reference data to gold, and stabilizing pipelines. Key features include: Housing data ecosystem enhancements (new models for annual departmental housing data, housing types, vacancy metrics; silver/gold layer refinements), Employment data expansion (cross-geo models across communes, departments, regions; enriched job-seeker data; new views/metrics; dbt tooling/macros), Education data extraction enhancements (broader fields, improved JSON extraction, fixes to environment variables and macros), and Geographical reference data migrated to gold layer for application readiness. Addressed major bugs (environment variable issues, macros not working, run failures) and improved tests and docs, leading to more reliable data delivery and faster analytics. Technologies: dbt, data modeling across bronze/silver/gold layers, macros, environment configuration, testing, and documentation.
March 2025
7 Commits • 3 Features
Mar 1, 2025During March 2025, delivered key geo-coverage enhancements and expanded data availability in dataforgoodfr/13_odis. Implemented new geographical data models for communes, departments and regions in the data warehouse, enabling finer-grained analytics and easier categorization of geo-typologies (commit 041e3ed840145216f9ef7d91250feb18b5b14d20). Expanded the Bronze layer with education and housing data sources, increasing the analytics surface (commit eb0cec8dc7129392d01c931f642726375b20d087). Strengthened developer experience and data governance via DBT documentation improvements and onboarding, including French translations and root README integration (commits: 5975642489273dd4c9ed8157c0dc50876305feac; dba377d6c95c5325db7e0fe087aa326eeb5813af; 5f7c6c7de0d7811988899983b2ddd581938d7a1f; 2613c8a641d95e0489693d7335e47def094f6fdb; dc5496ee81dc5c124f43ce810ba4e1fc699f561a).
7 Commits • 3 Features
Mar 1, 2025During March 2025, delivered key geo-coverage enhancements and expanded data availability in dataforgoodfr/13_odis. Implemented new geographical data models for communes, departments and regions in the data warehouse, enabling finer-grained analytics and easier categorization of geo-typologies (commit 041e3ed840145216f9ef7d91250feb18b5b14d20). Expanded the Bronze layer with education and housing data sources, increasing the analytics surface (commit eb0cec8dc7129392d01c931f642726375b20d087). Strengthened developer experience and data governance via DBT documentation improvements and onboarding, including French translations and root README integration (commits: 5975642489273dd4c9ed8157c0dc50876305feac; dba377d6c95c5325db7e0fe087aa326eeb5813af; 5f7c6c7de0d7811988899983b2ddd581938d7a1f; 2613c8a641d95e0489693d7335e47def094f6fdb; dc5496ee81dc5c124f43ce810ba4e1fc699f561a).
March 2025
February 2025
4 Commits
Feb 1, 2025February 2025 monthly summary for dataforgoodfr/13_odis. No new features shipped this month; two high-impact bug fixes were completed to strengthen data quality and deploy readiness in the ODIS data warehouse. These efforts reduce data inconsistencies in geographic joins and standardize DBT schema naming, improving downstream analytics reliability and maintainability. Overall impact: enhanced data accuracy in the ODIS warehouse, reduced risk in geo-based reporting, and improved project maintainability through consistent naming and environment readiness. Demonstrated proficiency in DBT, PostgreSQL, data warehousing patterns, and environment/profile management. Business value: More trustworthy geographic analytics for stakeholders, fewer downstream data corrections, and a cleaner, scalable data pipeline foundation for future features.
February 2025
4 Commits
Feb 1, 2025February 2025 monthly summary for dataforgoodfr/13_odis. No new features shipped this month; two high-impact bug fixes were completed to strengthen data quality and deploy readiness in the ODIS data warehouse. These efforts reduce data inconsistencies in geographic joins and standardize DBT schema naming, improving downstream analytics reliability and maintainability. Overall impact: enhanced data accuracy in the ODIS warehouse, reduced risk in geo-based reporting, and improved project maintainability through consistent naming and environment readiness. Demonstrated proficiency in DBT, PostgreSQL, data warehousing patterns, and environment/profile management. Business value: More trustworthy geographic analytics for stakeholders, fewer downstream data corrections, and a cleaner, scalable data pipeline foundation for future features.
Activity
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Quality Metrics
Correctness83.2%
Maintainability83.4%
Architecture81.2%
Performance73.2%
AI Usage21.0%
Skills & Technologies
Programming Languages
BashCSVJinjaMarkdownPythonSQLYAMLpythonsqlyaml
Technical Skills
API integrationBug FixingConfiguration ManagementDBTData CleaningData ConfigurationData EngineeringData ManagementData ModelingData ProcessingData WarehousingDatabase DesignDatabase DocumentationDatabase ManagementDatabase Schema Management
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