Building a Reusable Framework to Standardize API Ingestion in an On-Prem Lakehouse (opens in new tab)

In many enterprise lakehouse environments, the biggest ingestion challenge is not data volume; it is inconsistency. As platforms grow, data starts arriving from many different systems through , SOAP services, SFTP drops, database extracts, queues, and other interfaces. In many teams, these integrations are built one by one to solve immediate business needs. Over time, that creates a fragmented connector landscape where every source behaves a little differently.