Most data engineering teams do not struggle because they lack smart people. They struggle because too much of the delivery process is still repetitive. A source-to-target mapping document comes in. Then someone has to manually create: target table DDL transformation SQL data dictionary technical specification data quality rules reconciliation checks test cases For one or two tables, this is manageable. For a real enterprise program with many tables, changing requirements, multiple source systems