dataforgoodfr/13_odis
Jan 2025 – Jun 2025
5 Months active
Languages Used
MarkdownPythonShellYAMLCSVGitSQLyaml
Technical Skills
DocumentationEnvironment ConfigurationObject Storage IntegrationProject SetupAPI IntegrationCI/CD
Henry D.
PROFILE
Henry D.
Over five months, Hddc contributed to the dataforgoodfr/13_odis repository by building and evolving a robust data engineering platform focused on scalable data acquisition and analytics for French geographical and socio-economic datasets. Hddc established project scaffolding, automated data ingestion pipelines, and standardized ELT workflows using Python, SQL, and dbt. The work included integrating external APIs, configuring Docker-based development environments, and implementing CI/CD with GitHub Actions to ensure reproducibility and deployment efficiency. Through careful code refactoring, documentation, and configuration management, Hddc improved data reliability, expanded analytics coverage, and streamlined onboarding, demonstrating depth in data modeling, ETL, and DevOps practices.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
21Total
Bugs
3
Commits
21
Features
12
Lines of code
40,842
Activity Months5
Your Network
18 peopleShared Repositories
18
Arthur HavlicekMember
kloudkraftsMember
apibracMember
antoningarMember
gustelleMember
HAMIDI AminMember
salma-hnanaMember
Jean-Baptiste-NMember
Kimberly BlackMember
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for dataforgoodfr/13_odis. Focused on expanding geographical data sources for France and strengthening data ingestion reliability to support analytics and governance use cases.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for dataforgoodfr/13_odis. Focused on expanding geographical data sources for France and strengthening data ingestion reliability to support analytics and governance use cases.
June 2025
April 2025
4 Commits • 3 Features
Apr 1, 2025Monthly summary for 2025-04 for repository dataforgoodfr/13_odis focusing on feature delivery, bug fixes, and operational improvements. Highlights include data sources enrichment, restoration of lost configurations, CSV ingestion update, and CI pipeline automation, delivering business value in data reliability, presentation quality, and deployment efficiency.
April 2025
4 Commits • 3 Features
Apr 1, 2025Monthly summary for 2025-04 for repository dataforgoodfr/13_odis focusing on feature delivery, bug fixes, and operational improvements. Highlights include data sources enrichment, restoration of lost configurations, CSV ingestion update, and CI pipeline automation, delivering business value in data reliability, presentation quality, and deployment efficiency.
March 2025
11 Commits • 4 Features
Mar 1, 2025For 2025-03, the 13_odis work focused on data extraction standardization, ELT governance, expanded analytics coverage, and repository hygiene to improve data reliability, scalability, and business value. Key outcomes include: standardized data retrieval via JsonApiExtractor and updated communes data; comprehensive ELT documentation; a new dbt-based Silver Layer (bronze/silver/gold) with data quality tests and integration of new geo-data sources; addition of mobility, employment, and INSEE data; and consolidation/cleanup of seeds, imports, logs and obsolete workflows to streamline CI/CD. A controlled rollback was executed for the Silver Layer to stabilize the pipeline. Business impact includes improved data quality, broader analytics capabilities, and reduced operational risk through better governance and maintainability. Technologies demonstrated include JsonApiExtractor (Python), dbt, ELT architecture, data modeling, and cross-source data integration; collaboration evidenced by co-authored contributions.
11 Commits • 4 Features
Mar 1, 2025For 2025-03, the 13_odis work focused on data extraction standardization, ELT governance, expanded analytics coverage, and repository hygiene to improve data reliability, scalability, and business value. Key outcomes include: standardized data retrieval via JsonApiExtractor and updated communes data; comprehensive ELT documentation; a new dbt-based Silver Layer (bronze/silver/gold) with data quality tests and integration of new geo-data sources; addition of mobility, employment, and INSEE data; and consolidation/cleanup of seeds, imports, logs and obsolete workflows to streamline CI/CD. A controlled rollback was executed for the Silver Layer to stabilize the pipeline. Business impact includes improved data quality, broader analytics capabilities, and reduced operational risk through better governance and maintainability. Technologies demonstrated include JsonApiExtractor (Python), dbt, ELT architecture, data modeling, and cross-source data integration; collaboration evidenced by co-authored contributions.
March 2025
February 2025
3 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for dataforgoodfr/13_odis. Delivered three core initiatives that improve developer experience, software quality, and data capabilities: local development infrastructure, dependency/dev tooling upgrades, and a geographical reference data ingestion pipeline. The work enhances reproducibility, CI reliability, local setup speed, and bronze dataset availability for analytics.
February 2025
3 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for dataforgoodfr/13_odis. Delivered three core initiatives that improve developer experience, software quality, and data capabilities: local development infrastructure, dependency/dev tooling upgrades, and a geographical reference data ingestion pipeline. The work enhances reproducibility, CI reliability, local setup speed, and bronze dataset availability for analytics.
January 2025
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on the dataforgoodfr/13_odis repo. This month established the foundational setup and data access capabilities required for the ongoing data acquisition workflow, laying groundwork for scalable development.
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on the dataforgoodfr/13_odis repo. This month established the foundational setup and data access capabilities required for the ongoing data acquisition workflow, laying groundwork for scalable development.
January 2025
Activity
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Quality Metrics
Correctness87.2%
Maintainability86.6%
Architecture88.0%
Performance79.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVGitMarkdownPythonSQLShellYAMLyaml
Technical Skills
API IntegrationCI/CDCSV ProcessingCode RefactoringConfiguration ManagementData EngineeringData LoadingData ModelingData WarehousingDatabase ManagementDependency ManagementDevOpsDockerDocumentationETL
Repositories Contributed To
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