Context
Modernizing a data estate is not only a migration exercise. Pipelines also need consistent operating rules so teams can understand ownership, trace changes, control access, and reproduce environments.
Delivery
The work brought more than 50 pipelines into AWS and Databricks workflows using Delta Lake, PySpark, SQL, Unity Catalog, and Terraform. Shared patterns connected transformation work with lineage, quality controls, access policy, and infrastructure as code.
Engineering decisions
- Treat governance controls as part of pipeline delivery.
- Use reusable infrastructure and delivery standards instead of one-off environments.
- Keep lineage and access policy close to the data products they govern.
- Make platform conventions repeatable across a large migration surface.
Outcome
The result was a governed modernization path for more than 50 pipelines, with a shared technical foundation for lakehouse delivery, DataOps, and controlled access.