→ Automate pipeline lifecycle management to reduce manual overhead by enabling automatic creation, pausing, resuming, and deletion of data pipelines based on real-time triggers and conditions.  → Streamline pipeline status monitoring by automatically retrieving and analyzing pipeline states and logs to proactively detect and handle data flow interruptions.  → Facilitate pipeline auditing and compliance by scheduling regular retrievals of pipeline logs and job listings to ensure data integrity and operational transparency.