Anomaly Detection for Data Pipelines Without Alert Fatigue
A practitioner’s guide to data anomaly detection that teams actually trust. Concrete methods, code, and routing to cut noise and catch real breaks.
Tests, contracts, freshness, and anomaly detection that catch problems before a stakeholder does.
A practitioner’s guide to data anomaly detection that teams actually trust. Concrete methods, code, and routing to cut noise and catch real breaks.
What to actually monitor in Airflow, with concrete queries, configs, and alert routing that find problems before users do—plus real data freshness checks.
A complete dbt CI/CD pipeline that builds only what changed, isolates writes in a temporary schema, lints first, and blocks bad merges—plus real GitHub Actions YAML.
Reliability-first Airflow guidance from production incidents: idempotency, retries, deferrable sensors, SLAs, secrets, CI tests, and MWAA/Astronomer/Composer nuances.
We maintain a small client roster on purpose. If we're the wrong fit, we'll say so — and usually we know somebody who isn't.