
Jack Molloy developed MDSS Data Interval Slicing for the ministryofjustice/analytical-platform-airflow repository, enabling incremental data processing in Airflow workflows. He introduced the DATA_INTERVAL_START and DATA_INTERVAL_END template variables, allowing per-run data slices and more accurate data loading. His work included a Docker image security update and a minor version bump to support interval testing and safer deployments. Using YAML for configuration management and leveraging DevOps and CI/CD practices, Jack’s contributions reduced data latency and deployment risk. The depth of his work is reflected in the integration of new workflow variables and security improvements within a single, cohesive feature release.

July 2025: Delivered MDSS Data Interval Slicing in Airflow with per-run data slices to enable incremental processing. Introduced DATA_INTERVAL_START and DATA_INTERVAL_END template variables for the MDSS in Airflow workflows, enabling loads by interval. Implemented a Docker image security update and a minor version bump to support interval testing and safer deployments. These changes, tracked in commits 8653209fce897f8c174d3bc7f92929198a357b13 and 46f9cf0c88d7ba5edb764a6946a855b8c5850b21, reduce data latency, improve accuracy, and reduce deployment risk.
July 2025: Delivered MDSS Data Interval Slicing in Airflow with per-run data slices to enable incremental processing. Introduced DATA_INTERVAL_START and DATA_INTERVAL_END template variables for the MDSS in Airflow workflows, enabling loads by interval. Implemented a Docker image security update and a minor version bump to support interval testing and safer deployments. These changes, tracked in commits 8653209fce897f8c174d3bc7f92929198a357b13 and 46f9cf0c88d7ba5edb764a6946a855b8c5850b21, reduce data latency, improve accuracy, and reduce deployment risk.
Overview of all repositories you've contributed to across your timeline