
- $1M+ AWS savings through data lifecycle optimization, right-sizing compute, and refactoring inefficient pipelines
- Established SRE from zero—implemented SLO tracking, error budgets, and incident management processes
- Built observability across 3,700+ data pipelines with monitoring dashboards and alerting
- Owned change reviews for production deployments, reducing incidents from bad releases
- Developed SRE Operations Strategy defining tiered alert response (P1–P4), escalation workflows, pipeline readiness standards, and phased rollout targeting 60%+ auto-resolve
- Architected SRE Alerting Bot on AWS (ECS Fargate, DynamoDB, Step Functions) with Teams integration, auto-resolve engine, and alert correlation


