• Led team building and scaling distributed data systems for customer-facing experimentation and observability products.

• Coached engineers and provided technical strategy advice across teams to ensure successful project execution with high quality.

• Designed novel data processing approaches for low latency to enable market-leading product launch.

Focusing on data engineering, distributed systems and scalability.

Developed and maintained projects across the stack, including:

* Honeycomb's business-critical, custom-built columnar storage engine, Retriever

* full-stack feature development

* Ruby SDK and Beeline API

Data engineering and integration projects for various clients, including:

* major contributions to Bottled Water, a Kafka change data capture solution for Postgres https://github.com/confluentinc/bottledwater-pg