Fallon Chen
Senior Software Engineer (Data) - Spotify For Artists
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolFallon Chen is a Senior Software Engineer with 11 years building large-scale data systems, currently driving the analytics datasets behind Spotify for Artists and Spotify Charts. At Spotify she has designed and maintained hundreds of production data pipelines, enabled sales and personalized merchandising analytics for hundreds of millions of users, and co-leads the company’s data engineering community of practice. Her open-source contributions to the popular scio Scala API for Apache Beam/Dataflow reflect deep expertise in distributed data processing and BigQuery integrations. Comfortable in both Python and Scala, she has a track record of turning research and instrumentation needs into user-friendly libraries and educational materials for engineers. Based in New York, she holds an M.S. in Computer Science and Engineering from UC San Diego and brings uncommon breadth from bioinformatics to low-level C/C++ work early in her career.
11 years of coding experience
17 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of California, DavisUniversity of California, San Diego
English, Chinese
Github Skills (13)
dataflow-programming10
bigquery10
dataflow10
apache-beam10
scala10
user-data9
data-model9
data-set9
google-cloud9
batch8
batching8
streaming7
ml6
Programming languages (4)
Github contributions (5)
spotify/scio
Jul 2017 - Jan 2018
A Scala API for Apache Beam and Google Cloud Dataflow.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 7 commits, 4 PRs in 6 months
Contributions summary:Fallon primarily focused on the development and maintenance of the `scio` Scala API for Apache Beam and Google Cloud Dataflow, contributing to the backend logic of the project. The commits include changes related to BigQuery batch loads, version updates, and the addition of Annoy SideInput functionality. These contributions involved modifications to core components and the integration of external libraries to extend existing features.
apidatabeambatchbigquery
Hazelmat/klio
Sep 2020 - Dec 2020
Smarter data pipelines for audio.
Contributions:17 commits in 2 months
data-pipelinespipelinessmarteraudio
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.