Consolidate the orchestration strategy by merging `kafka_load` and
`etl_batch_transform` into a unified `etl_pipeline`. Replace BashOperator
dependencies on Kafka CLI with PythonOperators utilizing `kafka-python`.
Add detailed technical specifications for helper functions, MVP stages,
and validation checks to align with current infrastructure constraints.
Detail the architecture for migrating ETL orchestration from make to
Airflow. Define DAG structures for database initialization, Kafka data
ingestion, batch transformation, and quality monitoring. Include
technical specifications, operator details, and implementation phases.
ddadmin