Trusted Data Fabric operations at global scale
Trusted Data Fabric operations at global scale
Led engineering and run operations for a multi-country data fabric with reusable orchestration components, enterprise governance controls, and production reliability.
A multi-country insurance platform required one operating model for ingestion, orchestration, and governed data-product exposure. We combined strong run discipline with reusable platform components to help distributed teams deliver safely at scale.
How we approached it
Reusable platform building blocks
Shared libraries, mediation DAGs, APIs, and generators reduced duplicated effort across countries and teams.
Large-scale orchestration operations
Structured management of Airflow and SQL orchestration estates across production and high-production environments.
Governance-first run reliability
Incident handling, access hygiene, and audit-ready controls embedded into day-2 operations.
What we delivered
- Operated hundreds of Airflow DAGs and thousands of Starburst/Trino queries
- Built reusable pipeline generators, APIs, and shared Python platform components
- Reduced manual platform effort by approximately 80%
- Managed incident response, root-cause analysis, and governance-aligned operations
Outcomes
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Around 80% less manual platform work through reusable components
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Consistent operations across distributed engineering and support teams
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Stable, audit-aligned delivery for business-critical insurance datasets
Representative stack