Evolve or Automate: What It Actually Means to Be an AI-Native Data Engineer

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The Moment It Gets RealAt 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. Not a skeleton. Not pseudocode. Actual, runnable PySpark with joins, transformations, and a DAG scaffold.And 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?