Christopher Leung Email & Phone Number

San Francisco, Ca, Us

Palo Alto, California, Us

- Led and built lean teams in order to meet business goals and priorities- Monetization: managed experimentation, ad selection logic, and ad delivery on the suggestions and search products and doubled revenue in the span of 6 months- Analytics: oversaw the real-time analytics pipeline which powered customer facing dashboards, internal experimentation analysis, and on-device state and monitoring- Data Bundle Delivery: established the bundle delivery platform for scalable, reliable, asynchronous, and incremental data delivery to mobile devices- DevOps: coordinated developer productivity and cost saving initiatives such as the adoption of Gitpod, Bazel mono-repo support, Kafka MirrorMaker 2 upgrade, and EKS migration- Suggestions: optimized the performance (latency, memory) of the suggestions product- Challenged, enabled, and helped unblock 12 engineers, 5 data scientists, and 3 SDETs- Championed how non-engineering teams could more efficiently escalate issues and incidents- Established engineering initiatives and priorities along side product requirements- Cross functionally collaborated with non-technical teams (Product, Partner Product, Go To Market), and all other Engineering, Data Science, and Infrastructure teams- Managed and prioritized constantly shifting priorities and escalations from customers and other teams

Palo Alto, California, Us

- Lead and contributed to multiple backend engineering teams - Analytics: Built a real-time analytics pipeline for 100 million users end to end, from the client SDK to data ingestion to ETL to a denormalized schema to privacy compliant persistence - Data Bundle Delivery: Built the 2nd iteration of the platform which synchronized data and selection logic to mobile devices, thereby enabling the mobile suggestions and search product- User Education: Built a platform which enabled experimentation and features aimed to educate users about content-based search on the mobile search product - Developed in Java and Python- Experience with Flink, Spark, Airflow, Kafka, PostgreSQL, SQLite, Bazel, Kubernetes, Dropwizard, Elasticsearch, AWS

San Francisco, Ca, Us

- Led and supervised an engineering team in building scalable Spark applications on clickstream data- Developed and supported various data products of the company- Extracted, validated, transformed, and summarized data generated from clickstream data in HDFS and Hive- Built and maintained the company's web crawler- Post-processed data in Java, Python, Scala, and shell- Analyzed business metrics in order to correlate and modeled data using linear regression

Brea, Ca, Us

- Java and Big-Data developer- Implemented big-data frameworks in order to build a real-time monitoring platform- Experience with Flume, Kafka, Solr, Storm, Hbase, Hadoop

- Fulfilled the duties of a database administrator for the study's website ThreeTwoMe.com- Identified costly queries and optimized database query performance