
- $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


