Summary
Daniel Hsu is a back-end engineer with 15 years of software experience and a decade-plus focused on distributed infrastructure and cloud systems. Currently at Datadog working on cloud security, he previously drove performance and capacity optimization at Meta, building services for infra budgeting and planning across all products. His background includes backend analytics and Elasticsearch optimization at AppDynamics/Cisco and distributed database prototyping during a Google internship, reflecting deep familiarity with large-scale data stores and observability tooling. Comfortable across languages and stacks (Python, Java, Presto, Hive, MySQL, React, Elasticsearch), he combines pragmatic performance tuning with systems design. Based in New York and grounded in a CS degree from Rice, he brings a track record of turning complex capacity and data challenges into reliable, production-ready services.
16 years of coding experience
7 years of employment as a software developer
BS Computer Science, BS Computer Science at Rice University
Chinese, English