Donglei F
Software Engineer DataInfra
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDonglei F is a Software Engineer and Data Infra Tech Lead based in Seattle with 17 years of experience and 11 years in hands-on industry roles, currently building high-performance OLAP compute engines at Meta. He is a core developer of Meta’s Metalake (Meta’s Delta Lake) and an early contributor to the open-source Velox execution engine, bringing modern C++, Java, and Python expertise to low-latency, high-QPS SQL execution. Previously he led large-scale data and ads platforms at eBay, architecting TB-scale ETL, streaming frameworks, and multi-threaded publishers to serve billions of events with high availability. Comfortable across storage and compute — from Parquet/Arrow and vectorized execution to privacy-aware query rewrites like differential privacy and k-aggregation — he blends deep database hacking skills with production-grade system design. Known on GitHub as a “database hacker,” he pairs pragmatic engineering with a history of shipping performance-critical features and refactors in prominent open-source projects.
11 years of coding experience
12 years of employment as a software developer
Bachelor, Bachelor at Shanghai Jiao Tong University
English, Chinese
Github Skills (13)
query-engine10
query-parser10
c-language10
cprogramming-language10
querying10
data-management10
data-structure9
algorithm9
data-structures9
algorithms9
buildr7
build-engine7
build-tools7
Programming languages (7)
Github contributions (5)
facebookincubator/velox
Sep 2021 - Jan 2023
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:63 reviews, 6 commits, 29 PRs in 1 year 4 months
Contributions summary:Donglei primarily contributed to the `velox` C++ execution engine library, focusing on enhancing its functionality and stability. Their work included installing and integrating external libraries like `double-conversion`, fixing bugs related to non-contiguous rows in array distinct functions, and adding new features such as the `array_duplicates` and `shuffle` Presto functions. Furthermore, the user addressed code quality concerns by deprecating deprecated `sprintf` usage and refactoring path unescaping utilities.
queryvectorizedcppdata-processingacceleration
darrenfu/presto
May 2021 - Nov 2023
The official home of the Presto distributed SQL query engine for big data
Contributions:6 PRs, 36 pushes, 7 branches in 2 years 6 months
bigdatabig-datatrinodatabasehadoop
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