Fei Wang
Now Searching IT Sale Expert For CA&AC Region at 华为
Xi'an, Shaanxi, China
Summary
👤
Senior🎓
Top SchoolFei Wang is a seasoned telecommunications and IT sales leader with 12+ years of experience combining technical depth in signaling, IP, and product management with regional sales and solution responsibilities across CA&AC and Turkey. Holding a Master’s in Telecommunications Engineering from Xidian University, he progressed from senior software engineering roles into line management and strategic IT solution management at Huawei. Fei brings a rare blend of hands-on backend engineering—evidenced by contributions to high-profile open-source projects like Apache Spark and Apache CarbonData—and commercial acumen in deploying telecom solutions at scale. His engineering work focused on reliability and data-type correctness in large-scale data tooling, reflecting an attention to quality that informs his sales and solution design. Based in Xi’an, he excels at translating complex technical issues into customer-focused solutions across diverse markets. Colleagues value him for bridging code-level problem solving with strategic regional go-to-market execution.
12 years of coding experience
9 years of employment as a software developer
Master's degree, Telecommunications Engineering, Master's degree, Telecommunications Engineering at Xidian University
English
Github Skills (14)
javas10
spark-sql10
apache-spark10
big-data10
spark10
java10
scala10
data-format9
hadoop9
data-formats9
hive9
build-tools8
build-engine8
buildr8
Programming languages (2)
Github contributions (5)
apache/spark
Jan 2015 - May 2017
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:82 PRs, 507 comments in 2 years 5 months
Contributions summary:Fei contributed to the Apache Spark project by fixing spelling mistakes and removing unused variables in the core Scala code. They addressed bugs in the Spark SQL module, including issues related to the `--driver-java-options` flag and dynamic partitioning. The user also made improvements to the Hive thrift server and corrected errors in the examples, demonstrating proficiency across multiple areas of the Spark ecosystem. Furthermore, they addressed issues related to code generation and fixed a potential deadlock situation.
analyticspythondata-processingsqlapache
apache/carbondata
Dec 2016 - Dec 2016
High performance data store solution
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 10 PRs, 25 comments in 8 days
Contributions summary:Fei primarily contributed to fixing issues and cleaning up code related to decimal handling in Spark integration. They addressed bugs in the `CarbonMetastore`, `CarbonDataSourceSuite`, `CarbonSource`, `FileFactory`, and `TableCreator` components, ensuring proper functionality within the Apache CarbonData project. The user also focused on refining code structure and removing unused imports, leading to improved code quality and maintainability. Key modifications involved adjustments to data type handling and the overall system design, likely improving the system's reliability.
carbondatadata-formatdata-storeapachebig-data
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