A data engineer used AI to build an ETL (Extract, Transform, Load) pipeline. The approach:
- Described transformations in plain English
- AI generated pandas and SQL code
- Validated outputs against known test data
- Added monitoring for data quality
Data work fits AI well. You can describe transformations in words, and you can verify the outputs.