Summary
Feifei Song is a Data Engineer with 11 years of experience building data-intensive pipelines and production systems, currently driving data infrastructure at Meta. She combines deep Python and SQL expertise with hands-on experience in distributed computing (Spark), streaming and ETL orchestration (Kafka, Airflow), and scalable architecture using ZooKeeper, RabbitMQ, Cassandra, and AWS. Her background includes senior roles at eHealth and JPMorgan, and a focused data engineering fellowship that sharpened her applied analytics and systems skills. Trained in finance (BS/MS, University of Delaware), she brings a quantitative mindset to time-series analysis and prediction, supplemented by SAS certification and practical Excel modeling. Known as a fast learner and pragmatic problem-solver, she also automates workflows with shell scripting and maintains disciplined version control practices. Based in Union City, CA, she blends enterprise-scale reliability with a practical enjoyment of coding and life.
11 years of coding experience
3 years of employment as a software developer
Master's Degree, Finance, Master's Degree, Finance at University of Delaware
English, Chinese