ministryofjustice/analytical-platform-airflow
Oct 2025 – Dec 2025
2 Months active
Languages Used
PythonYAML
Technical Skills
AirflowCI/CDPythonYAMLdata engineeringworkflow management
joe.dods
PROFILE
Joe.dods
Worked on the ministryofjustice/analytical-platform-airflow repository to enhance deployment reliability and workflow management for Airflow-based data pipelines. Addressed a scheduling issue by updating DAG start and end dates, ensuring ETL processes aligned with business requirements and improving data availability for analytics. Upgraded the deployment process by incrementing Docker image and workflow version tags, supporting compatibility and reproducibility across environments. Leveraged Python and YAML to update both DAG logic and CI/CD configuration files, enabling traceable, auditable releases. Collaborated on changes to strengthen deployment control, demonstrating a methodical approach to data engineering and workflow management within a version-controlled environment.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
12
Activity Months2
Your Network
515 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary focused on strengthening deployment control and traceability for the Airflow data pipeline. Delivered a feature to implement the Data Processing Workflow deployment schedule and versioning in ministryofjustice/analytical-platform-airflow, including updates to the DAG and CI/config files to reflect a new deployment window and a version tag increment. This change improves deployment reliability, reproducibility of data processing runs, and auditability across environments. Commit 44cac29df050dfd556de3b5ef09823c461f5d20d (Update dag.py (#2827)) includes updates to dag.py and workflow.yml; co-authored by RolakeO.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary focused on strengthening deployment control and traceability for the Airflow data pipeline. Delivered a feature to implement the Data Processing Workflow deployment schedule and versioning in ministryofjustice/analytical-platform-airflow, including updates to the DAG and CI/config files to reflect a new deployment window and a version tag increment. This change improves deployment reliability, reproducibility of data processing runs, and auditability across environments. Commit 44cac29df050dfd556de3b5ef09823c461f5d20d (Update dag.py (#2827)) includes updates to dag.py and workflow.yml; co-authored by RolakeO.
December 2025
October 2025
1 Commits
Oct 1, 2025October 2025 summary for ministryofjustice/analytical-platform-airflow: Fixed Airflow DAG scheduling window by updating start and end dates and upgraded the deployment Docker image to a new tag to ensure compatibility and stability. This change improves the reliability and predictability of ETL workflow runs, enabling timely data availability for downstream analytics and reporting. Demonstrates strong proficiency in Airflow workflow management, Docker-based deployments, and version-controlled releases with clear traceability to the commit that introduced the fix.
October 2025
1 Commits
Oct 1, 2025October 2025 summary for ministryofjustice/analytical-platform-airflow: Fixed Airflow DAG scheduling window by updating start and end dates and upgraded the deployment Docker image to a new tag to ensure compatibility and stability. This change improves the reliability and predictability of ETL workflow runs, enabling timely data availability for downstream analytics and reporting. Demonstrates strong proficiency in Airflow workflow management, Docker-based deployments, and version-controlled releases with clear traceability to the commit that introduced the fix.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
AirflowCI/CDPythonYAMLdata engineeringworkflow management
Repositories Contributed To
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