dataforgoodfr/13_odis
Jun 2025 – Jan 2026
4 Months active
Languages Used
PythonSQLYAMLMarkdown
Technical Skills
Data EngineeringData ModelingData ValidationData WarehousingDatabase IntegrationDatabase Management
ronan
PROFILE
Ronan
Syronan M. contributed to the dataforgoodfr/13_odis repository by engineering robust, multi-layered data pipelines and gold-level data models to support analytics in employment, mobility, and salary domains. Leveraging Python, SQL, and dbt, Syronan implemented asynchronous Prefect-based orchestration, Dockerized PostgreSQL integration, and XLSX ingestion, enabling scalable, reliable data extraction and transformation. Their work included enhancing logging for observability, automating deployment with GitHub Actions, and improving documentation for developer onboarding. By addressing operational reliability and error tracking, Syronan ensured high data quality and maintainability. The depth of their contributions reflects strong backend development and data engineering expertise across modern workflows.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
23Total
Bugs
3
Commits
23
Features
10
Lines of code
40,760
Activity Months4
Your Network
29 peopleShared Repositories
29
Paul GabrielMember
kloudkraftsMember
apibracMember
antoningarMember
Audrey DuranMember
FitzfoufouMember
Florian_YunMember
gustelleMember
hadrien PoinseauxMember
Work History
January 2026
1 Commits
Jan 1, 2026January 2026: Stabilized CLI data extraction by fixing the logging mechanism. Implemented optional logger parameter in run_extraction to ensure proper logging and error tracking when invoked from the command line. This change improves observability, reduces time to diagnose extraction failures, and enhances downstream data reliability for dataforgoodfr/13_odis.
1 Commits
Jan 1, 2026January 2026: Stabilized CLI data extraction by fixing the logging mechanism. Implemented optional logger parameter in run_extraction to ensure proper logging and error tracking when invoked from the command line. This change improves observability, reduces time to diagnose extraction failures, and enhances downstream data reliability for dataforgoodfr/13_odis.
January 2026
December 2025
8 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for two core repos, focused on reliability, observability, and deployment automation. Delivered key capabilities in Prefect-based data pipelines, improved Docker deployment workflow, and enhanced developer documentation.
December 2025
8 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for two core repos, focused on reliability, observability, and deployment automation. Delivered key capabilities in Prefect-based data pipelines, improved Docker deployment workflow, and enhanced developer documentation.
November 2025
2 Commits • 1 Features
Nov 1, 2025Monthly summary for November 2025 (repository: dataforgoodfr/13_odis). This period focused on delivering a scalable data pipeline enhancement and establishing robust infrastructure for data ingestion, with no major bugs reported related to this work.
2 Commits • 1 Features
Nov 1, 2025Monthly summary for November 2025 (repository: dataforgoodfr/13_odis). This period focused on delivering a scalable data pipeline enhancement and establishing robust infrastructure for data ingestion, with no major bugs reported related to this work.
November 2025
June 2025
12 Commits • 6 Features
Jun 1, 2025June 2025: Data modernization across the 13_odis project. Delivered end-to-end gold-level data models, multi-layer pipelines, XLSX ingestion, and intercommunal data support, enabling robust analytics for employment, mobility, and salary domains. Implemented reusable population logic and configurations to support scalable data governance and future domain expansion.
June 2025
12 Commits • 6 Features
Jun 1, 2025June 2025: Data modernization across the 13_odis project. Delivered end-to-end gold-level data models, multi-layer pipelines, XLSX ingestion, and intercommunal data support, enabling robust analytics for employment, mobility, and salary domains. Implemented reusable population logic and configurations to support scalable data governance and future domain expansion.
Activity
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Quality Metrics
Correctness85.6%
Maintainability85.2%
Architecture84.4%
Performance78.6%
AI Usage23.4%
Skills & Technologies
Programming Languages
MarkdownPythonSQLYAML
Technical Skills
API integrationAsynchronous ProgrammingDBTData EngineeringData ModelingData ValidationData WarehousingDatabase IntegrationDatabase ManagementDatabase ModelingDevOpsDockerETLETL DevelopmentFile Handling
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
dataforgoodfr/13_reveler_inegalites_cinema
Dec 2025 – Dec 2025
1 Month active
Languages Used
YAML
Technical Skills
DevOpsDockerGitHub Actions