dataforgoodfr/13_odis
Nov 2025 – Nov 2025
1 Month active
Languages Used
MarkdownYAML
Technical Skills
Configuration ManagementDevOpsDockerdata engineeringdbtdocumentation
apibrac
PROFILE
Apibrac
Worked on the dataforgoodfr/13_odis repository to enhance reliability and streamline data workflows. Addressed a Docker Compose configuration issue by correctly quoting the 'no' value in the restart policy, ensuring Docker services behave as intended during deployment. Complemented this fix with a comprehensive Data Preparation Guide, providing clear documentation on loading data prior to dbt transformations. Leveraged skills in configuration management, Docker, and documentation, using YAML and Markdown to implement and communicate these changes. The work reduced deployment surprises, improved data readiness, and made onboarding easier for developers maintaining or extending the project’s data engineering and DevOps pipelines.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
20
Activity Months1
Your Network
18 peopleShared Repositories
18
Arthur HavlicekMember
kloudkraftsMember
antoningarMember
gustelleMember
HAMIDI AminMember
Henry D.Member
salma-hnanaMember
Jean-Baptiste-NMember
Kimberly BlackMember
Work History
November 2025
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — dataforgoodfr/13_odis: Focused on reliability and data readiness. Delivered two tightly scoped changes: a bug fix for Docker Compose restart policy parsing and a documentation enhancement that guides data loading before dbt transformations. These changes reduce deployment surprises, streamline data preparation, and improve developer onboarding for ongoing data pipelines.
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — dataforgoodfr/13_odis: Focused on reliability and data readiness. Delivered two tightly scoped changes: a bug fix for Docker Compose restart policy parsing and a documentation enhancement that guides data loading before dbt transformations. These changes reduce deployment surprises, streamline data preparation, and improve developer onboarding for ongoing data pipelines.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownYAML
Technical Skills
Configuration ManagementDevOpsDockerdata engineeringdbtdocumentation
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