From STTM to Snowflake SQL: Building a Metadata-Driven Data Engineering Copilot

Source: Dev.to

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, and repeated delivery cycles, this becomes a major productivity problem. That is the problem I am exploring with Data Engineering Copilot. Website: https://dataengineeringcopilot.com The idea is simple:

text Upload STTM ↓ Parse metadata ↓ Normalize into a canonical metadata model ↓ Generate engineering artifacts