Analytics Engineering Audit: Architecture, Process, and Team
A practitioner’s analytics engineering audit: scope, scoring rubric, concrete checks, and how to turn findings into a sequenced roadmap with owners.
6 min read
Data quality
Data quality and testing
Tests, contracts, freshness, and anomaly detection that catch problems before a stakeholder does.
Airflow DAG Testing: Catch Breaks Before Deploy
A practitioner’s guide to testing Airflow DAGs so they don’t break the scheduler, the UI, or your downstream data. Concrete checks, code, and CI examples.
4 min read
AI Agent Governance That Survives Production
Turn governance into runtime controls that hold under load. Identity, scopes, approvals, audit, evals, and CI/CD gates—shipped by teams who run this in prod.
7 min read
Data Quality Audit That Produces a Fix List
A practitioner’s playbook to run a data quality audit across your highest-impact data products—and leave with a prioritized 30/60/90‑day remediation plan.
4 min read
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.
9 min read
Airflow Monitoring That Warns You Before Users Do
What to actually monitor in Airflow, with concrete queries, configs, and alert routing that find problems before users do—plus real data freshness checks.
6 min read
dbt CI/CD That Catches Problems Before They Reach Prod
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.
5 min read
Airflow Best Practices From Someone Who's Been Paged at 3am
Reliability-first Airflow guidance from production incidents: idempotency, retries, deferrable sensors, SLAs, secrets, CI tests, and MWAA/Astronomer/Composer nuances.
9 min read
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