Leading a small, autonomous team of talented engineers providing Kafka as a service to the rest of HubSpot Engineering. Our Kafka infrastructure processes over 100 billion messages per day.

We build automation that keeps Kafka available, reliable, and performant, and we build tools and libraries that make it easy for HubSpot teams -- and thousands of their microservices -- to interact with Kafka.

• Led a team of seven (since July 2017) responsible for platform for representing and accessing client-provided data, including front-end tools and C#, REST, and SQL-based APIs

• Redesigned two major data access APIs to distribute code ownership, increase engineering productivity, improve maintainability, and better fit microservice architecture

• Collaborated with PMs to set the team’s roadmap, leading this process for engineering-facing work

• Helped maintain team velocity in an agile environment by organizing sprints, removing blockers, planning early releases, and coordinating communication with other teams

• Served as career advisor for two full-time engineers, representing them in the performance review process and helping them identify growth opportunities

• Owned design, planning, and code review for three financial data segmentation REST APIs, used by half of engineering

• Helped introduce React and TypeScript to team when building tool for time-series data upload

• Led implementation of program that provided engineers with opportunities to work on high-impact projects outside of their teams’ roadmap

• Overhauled SQL data model and built front-end tool allowing hundreds of delivery teams to understand and repair setup issues with their databases

• Developed simplified JavaScript framework for flexible presentation of analysis result visualizations

• Evangelized API design, development, and testing best-practices across the engineering department

• Contributed substantially to features across the stack, from front-end visualizations to analytic libraries

• Co-owner of API responsible for filtering and aggregation of financial data, critical to the performance and robustness of every calculation run by Test & Learn, the flagship product

• Helped lead effort to modify the T&L workflow to support analysis of generic “entities”, coordinating code changes across engineering teams and partnering with PMs to help clients leverage the feature