Min-fu Yang
Senior Software Engineer at Microsoft
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolMin-fu Yang is a Senior Software Engineer with 11 years of experience building large-scale Big Data platforms and full-stack services, currently driving work at Microsoft in Redmond. He combines deep expertise in Hadoop and Spark with practical full-stack skills in Ruby on Rails and Node.js, and has focused on Office365 development and anti-spam Big Data infrastructure. At Microsoft he has progressed from Software Engineer II to senior roles, contributing to robust data pipelines and performance-focused backend systems. An active open-source contributor, he fixed metadata, serialization, and connection-pool issues and added performance metrics to the widely used azure-event-hubs-spark connector. With a Master’s from National Taiwan University, he brings a research-informed approach to production problems and a knack for surfacing hard-to-observe issues like subtle synchronization and partitioning bugs.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National Taiwan University
English
Stackoverflow
43reputation
5kreached
0answers
6questions
Github Skills (28)
apache-spark10
big-data10
microsoft-azure10
eventhub10
scala10
azure10
streaming10
debug9
performance-analytics9
performance-monitor9
debugging9
performance-measurement9
performance-monitoring9
performance-analysis9
concurrency9
Programming languages (7)
Github contributions (5)
Azure/azure-event-hubs-spark
Jan 2018 - Oct 2020
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 18 PRs, 21 comments in 2 years 8 months
Contributions summary:Min-fu primarily contributed to bug fixes and feature enhancements within the core components of the `azure-event-hubs-spark` connector. They addressed issues related to metadata handling, serialization, and synchronization in connection pools. Additionally, the user added performance metrics gathering capabilities by implementing send and receive listeners, and addressed an issue where the number of partitions increased.
event-hubsstreammicrosoftreal-timebigdata
tilumi/azure-event-hubs-spark
Jan 2018 - Oct 2020
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
Contributions:111 pushes, 81 branches in 2 years 9 months
continuous-dataemrazure-event-hubsdata-processingcontinuous
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