• Tech Lead for a team of four. We own the data store & service that provides real-time user attribute and audience data for over a billion users (350M+ MAU), pipelines that generate the targeting segments used to direct $100M’s of spend, and Flink applications that process >10 billion events per day

• Work directly with key stakeholders to plan, scope, and design systems critical to ABM’s scaling and continued growth

• Mentor and direct the work of the engineers on my team, helping them scope and design their projects, work through issues, and provide reviews and feedback on the results

• Identify gaps in our tooling, systems, and processes and design and implement solutions

• Build near-real time and daily pipelines ingesting billions of events per day for internal & external partners, training algorithms, finance teams, and analysts

• Led process to integrate Apache Druid into the Pinterest ecosystem from selection process through on-site customizations, integrations with our existing systems, performance prove-out, tuning, and scaling

• Design, build, and maintain low-latency online and high-throughput async systems to serve metrics and analytics to Sales, advertisers, and agencies via Pinterest UIs and APIs at scale

• Lead planning, execution, and review for team sprints

• Helped scale Pinterest to a public company with 1B+ in revenue

• Oversaw the access layer for Marin's transactional data store used by all internal teams and the customer-facing UI

• Led the design and implementation of Marin's fact pipeline which processed all users' cost and revenue data

• Reviewed the design, architecture, and schemata of services and applications to spread best practices and aid efficiency

• Designed and implemented Spark Streaming pipelines to process near-real time dimensional changes

• Built and maintained Marin's builds of Phoenix and Spark and contributed fixes to Apache Phoenix

• Provided operational expertise and support for all of our databases and Hadoop infrastructure

• Directed junior engineers and contractors

I designed, built, and maintained webapps written in Python with a PostGreSQL database (~12M records) for PAHMA, a world-class anthropology & archaeology museum at UC Berkeley, in order to facilitate searching, systematic inventorying, and other essential collections functions. I also designed webpages and online application forms with HTML/CSS/JS and occasional Google Charts and designed and implemented Python and bash monitoring scripts.