Given an enterprise data model, we automatically convert an entity into its spark schema equivalent, extract metadata, derive tables expectations as SQL expressions and provision data pipelines that accelerate development of production workflows. Such a foundation allows financial services institutions to bootstrap their Lakehouse for Financial Services with resilient data pipelines and minimum development overhead.