Senior engineer on Lyft's Observability team, focusing on real-time logging and metrics.

* Oversaw migration of 40-node logging cluster from AWS Elasticsearch to self-hosted

* Engineered improvements to distributed logging pipeline to scale to 6 million events per minute

* Oversaw migration of company dashboards from Wavefront to PromQL

Senior engineer on the core engineering team, working primarily with a team of 4-5 persons using Agile release methodology.

Projects:

* Purity, the core system software of the FlashArray all-flash storage array (C++)

* Support, testing, and diagnostic tools (Python)

* Engineering response to internal and external escalations

Sole analytics and data engineer for Mango Health, responsible for the analytics pipeline and the backend infrastructure hosting it. Initiated significant refactoring and redesign of the backend, and answered analytics requests by internal and external clients.

Software engineer on the Infrastructure team, building and supporting the backend of the 2.0 release of Loggly's cloud-based, multi-tenant Logging-as-a-Service system that launched September 3, 2013.

Highlights:

* Implemented production-ready first versions of alerting and cloud logging services (Java, Elasticsearch, Kafka, Apache Storm, Zookeeper)

* Designed and implemented internal quality-of-service tools responsible for preventing and alerting on service failures (Python, Redis, Zookeeper)

* Made significant performance and stability improvements to the high-performance edge collector component (C++, Boost ASIO)