- Architected multi-cloud web services and data processing systems at Brilig, an early stage startup building a cooperative data marketplace for online advertising.
- Developed data lifecycle management platform in Python/Django that facilitated partner data ingestion to HDFS/Hive, MapReduce jobs to convert data to Brilig’s common format, and load/unload data sets from Couchbase; eliminating manual operations and increasing data processing time by 60%.
- Designed high-throughput, low-latency network to serve Brilig’s real-time advertising data marketplace, processing over 300 million transactions daily while maintaining 99.99% uptime.
Tech Stack