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ideas/data-engineering/pipeline-orchestrator.md
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# Data Pipeline Orchestrator
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Automate ETL/ELT workflows: schedule jobs, handle retries, detect schema drift, spin up jobs on demand, and auto-heal failed runs.
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Agent capabilities to add:
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- Connect to data sources, run transformations, and validate outputs
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- Auto-scale compute for heavy jobs and failover to cheaper instances
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- Send alerts, open issues, or create remediation PRs when data quality breaks
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Integrations: Airflow, Prefect, dbt, Snowflake, BigQuery, S3.
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