•As a member of the distributed systems team, shipped multiple features to expand Optimizely’s analytics product. I worked on a realtime data pipeline processing billions of events daily and a tech stack comprised of Dropwizard, Flume, Kafka, Samza, and HBase fully hosted on AWS.
•Led project to improve the observability of Optimizely’s results query path by introducing centralized logging using Fluentd, Chef, S3, and Elasticsearch+Kibana.
•Delivered GDPR compliance for the distributed systems team on a strict deadline. Wrote several MapReduce jobs to access/delete visitor data from HBase and S3.
•Member of the core 4-person engineering team that launched the Optimizely X Full Stack and
Mobile products (https://www.optimizely.com/products/full-stack), which grew to $10M+ ARR
within a year.
•Led development of the Optimizely Java SDK (https://github.com/optimizely/java-sdk) building
features including audience targeting, mutually exclusive experiments, live variables, whitelisting, and webhooks while working across tech stacks building models/APIs in a Python web-app
environment (Google App Engine) and a few React JS frontend components.
•Gave onboarding talks to new engineers about our data infrastructure
•Conducted onsite and phone interviews for engineering candidates on areas such as CS fundamentals and system design.
•Participated in on-call operations for the data infrastructure backing the realtime analytics product.
