Daniel Wong is a software engineer in the San Francisco Bay Area with seven years of experience building high-performance backend systems for companies like Salesforce, Amazon Last Mile Logistics, and Teradata. He focuses on database internals and distributed query processing, contributing significant code to Apache Phoenix around query optimization, variable-length primary keys, and Row Value Constructor improvements. Comfortable working in Java at the core of storage and query engines, he pairs deep implementation skills with pragmatic testing to drive correctness in production systems. His background spans both large-scale logistics and database kernel work, giving him a practical lens on performance, reliability, and real-world workloads. Colleagues rely on him for turning complex database concepts into maintainable code and shipping measurable improvements in open-source and enterprise systems.
Contributions:69 reviews, 44 commits, 38 PRs in 3 years 11 months
Contributions summary:Daniel contributed significant code changes to the Apache Phoenix project, focusing on implementing new features and resolving defects within the database system. These commits showcase expertise in areas such as query optimization, handling variable length primary keys, and enhancing the Row Value Constructor (RVC) functionality. The work included modifications to core Java classes, demonstrating a deep understanding of the project's internal workings and database query processing logic. The contributions also involve tests to ensure the correctness of the implemented features.
Contributions:4 PRs, 6 pushes, 2 branches in 1 month
apache-phoenixelixirapachephoenixjava
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.