Fengnan Li
Senior Engineering Manager at The Apache Software Foundation
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFengnan Li is a Senior Engineering Manager based in San Francisco with nine years of experience building large-scale data storage and format systems, currently leading Data Format and Storage at Uber. He progressed from Hadoop HDFS engineer to engineering manager and now senior manager, combining deep distributed-systems expertise with product-focused delivery. As an Apache Hadoop committer and contributor to core IPC, RBF and router delegation token features, he brings proven hands-on credibility in high-throughput, production-grade back-end infrastructure. Fengnan’s background spans ad tech, monetization and marketplace safety, giving him a pragmatic lens on reliability, performance and business impact. He holds an MS in Computer and Information Sciences from the University of Pennsylvania and often operates at the intersection of open-source stewardship and large-company scale engineering.
9 years of coding experience
12 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at East China Normal UniversityMaster's degree Computer and Information Sciences General, Master's degree Computer and Information Sciences General at University of Pennsylvania
Github Skills (12)
javas10
hadoop10
federation10
ipc10
java10
algorithms9
data-structure9
metric9
zookeeper9
data-structures9
api-design8
cloud-infrastructure7
Programming languages (1)
Github contributions (5)
apache/hadoop
Apr 2020 - Sep 2021
Apache Hadoop
Role in this project:
Back-end Developer
Back-end DeveloperContributions:34 reviews, 12 commits, 19 PRs in 1 year 4 months
Contributions summary:Fengnan primarily contributed to the back-end infrastructure and core functionalities of the Apache Hadoop project. Their work focused on enhancing the IPC (Inter-Process Communication) system by adding queue capacity support for FairCallQueue and adding metrics for DataNode packet, and also on router delegation tokens with improvements in performance. They also worked on the RBF (Router-Based Federation) module of Hadoop, implementing features to add support for router delegation tokens, improving the router's connection management.
apachebig-datasparkhadoopjava
fengnanli/dynamometer
Feb 2019 - Apr 2023
A tool for scale and performance testing of HDFS with a specific focus on the NameNode.
Contributions:4 pushes, 3 branches in 4 years 1 month
testingscaleperformancehdfsperformance-testing
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.