Airflow orchestrates ETL with DAGs defining task dependencies and schedules. Setup: Use SnowflakeOperator or SnowflakeHook to execute SQL; PythonOperator for custom logic. Example: dag = DAG('snowflake_etl', schedule_interval='@daily'); t1 = SnowflakeOperator(task_id='load_staging', sql='COPY INTO staging FROM @stage', dag=dag); t2 = SnowflakeOperator(task_id='transform', sql='CALL transform_sp()', dag=dag); t1 >> t2....
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