When you first break into data engineering, your world is comfortably small. Success is binary. Your sprint tasks are clearly defined: fix a broken Airflow DAG, write a Python script to scrape a new API endpoint, or optimize a slow SQL join. If your code passes code review and the pipeline runs successfully without alerting the on-call engineer, you’ve done your job. But as the years...