Hai Nguyen - Data Engineer

Hai Nguyen

Data Engineer

Hà Nội, Vietnam

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Summary

🤩

Rockstar

🎓

Top School

Hai Nguyen is a data engineer with five years of experience building reliable data platforms and SQL-focused back-end systems, currently driving data initiatives at MBBank in Hà Nội. He has hands-on expertise in cloud environments and a background as a software engineer through Viettel’s Digital Talent Program and roles across Viettel Network and Viettel Group. Notably, he contributed to the Apache Spark project, improving SQL function correctness and join behavior—work that reflects deep familiarity with database semantics and large-scale data processing. Hai combines practical production experience with open-source rigor, addressing edge cases like numeric overflow and MySQL-compatible function behavior. He holds a BS in Computer Science from VNU University of Engineering and Technology and brings a pragmatic, detail-oriented approach to data engineering challenges.

4 years of coding experience

Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at VNU University of Engineering and Technology

Github Skills (16)

scala10

javas10

big-data10

spark10

sql10

java10

databases9

sql-database9

database9

relational-databases9

performance-optimization8

data-structure7

data-structures7

algorithm7

algorithms7

Programming languages (3)

JavaScalaPython

Github contributions (5)

apache/spark

Jun 2021 - Apr 2022

Apache Spark - A unified analytics engine for large-scale data processing

Role in this project:

Back-end Developer

Contributions:126 reviews, 21 commits, 36 PRs in 10 months

Contributions summary:Hai contributed to the Apache Spark project, focusing on improving the functionality and correctness of the SQL module. Their work involved matching the behavior of the `conv` function to MySQL, which included handling leading spaces and extremely long input strings. Additionally, the user addressed an overflow issue related to the `instantToMicros` function and made improvements in the `joinWith` operation when joining a table with itself, ensuring correct behavior. The contributions suggest experience in database function implementations and SQL performance.

analyticspythondata-processingsqlapache

dchvn/spark

Oct 2021 - Apr 2022

Apache Spark - A unified analytics engine for large-scale data processing

Contributions:575 pushes, 79 branches, 1 comment in 6 months

analyticsdata-processingapachebig-dataspark

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