Batch Pipeline Modernization
Migrating ad-hoc cron jobs, SQL scripts, and orchestration scripts into a versioned, tested, observable batch substrate.
Batch pipelines accumulate. A typical organization has hundreds of jobs no one owns, scheduled in three different orchestrators, with documentation that hasn't matched reality since the last reorg. Modernization is the project of making them legible.
What it solves
Replaces tribal knowledge with code: a single orchestrator, versioned transformations, declared dependencies, and tests that catch the regressions ad-hoc cron jobs ship silently.
How we build it
Consolidate on a single orchestrator (Airflow, Dagster, Prefect, or the cloud-native equivalent). Transformations move to dbt or SQLMesh with tests. Dependencies become a DAG the orchestrator enforces. Failures route to owners with context, not to a slack channel no one watches.
- Single orchestrator with declared dependencies
- Tests at every transformation
- Per-job owner and on-call rotation
- Cost and runtime telemetry per job
What changes when it is in place
A new analyst can read what a pipeline does without asking three people. The platform owner can decommission stale jobs because their downstream consumers are visible.