At some point in the last year, every data engineer had the same experience. You opened a copilot tool, typed a rough description of what you needed, and watched it generate a working ETL pipeline in about thirty seconds.
At some point in the last year, every data engineer had the same experience.
You opened a copilot tool, typed a rough description of what you needed, and watched it generate a working ETL pipeline in about thirty seconds.
For a moment, the question that the industry had been treating as hypothetical became very concrete: if AI can do this, what exactly am I here for?
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At some point in the last year, every data engineer had the same experience. You opened a copilot tool, typed a rough description of what you needed, and watched it generate a working ETL pipeline in about thirty seconds. For a moment, the question that the industry had been treating as hypothetical became very concrete: if AI can do this, what exactly am I here for?
Actual, runnable PySpark with joins, transformations, and a DAG scaffold.
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