A healthcare client with heavy reliance on classical Extract, Transform, Load (ETL) services was facing challenges in managing frequent data updates. Employing a team of 10 engineers, they were dedicated to the meticulous task of cleansing, refining, and transforming data to be seamlessly ingested by their enterprise system.
Recognizing the inefficiencies and limitations of this approach, we proposed a shift: migrating the entire data engineering process to Azure Data Factory and related Azure services. This transition was not just about changing platforms; it was about leveraging modern techniques to automate and refine processes that were previously labor-intensive.