Data Pipeline Agent

Stop babysitting your data pipelinesData Pipeline Agent monitors your ETL jobs, catches data quality issues before they propagate, and alerts on schema drift — so you find problems at ingest, not in the dashboard meeting.What it does Pipeline monitoring — tracks job runs, detects failures, alerts on SLA breaches Data quality checks — validates row counts, null rates, distribution shifts, and format consistency Schema drift detection — catches upstream schema changes before they break your transforms dbt test generation — auto-generates dbt tests based on observed data patterns Supported stacksWorks with Airflow, Dagster, Prefect, dbt, and custom ETL pipelines. Outputs to Slack, email, or your data observability tool.How it worksDeploy as a Claude Code skill or Hermes Agent module. Configure your pipeline metadata sources. The agent monitors continuously and reports issues with full context — what changed, when, and the likely impact downstream.Audited. Deterministic. No supply chain risk.

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