24/7 data observability
Implementation of a monitoring framework with Great Expectations and Airflow to validate critical pipelines and publish alerts in Slack.
Key components
- ▸More than 60 automated test suites for critical tables.
- ▸Metadata and results stored in an Azure data lake.
- ▸Monitoring dashboards in Grafana with coverage metrics.
Repository and documentation
Code and CI/CD configuration documented in an internal repository, with public examples available for reference.
Reference material
Implementation details are under client NDA. For an architectural overview or to discuss your own data quality stack, get in touch.