Eunjin Song
Principal Software Engineer at Microsoft
California, United States
Summary
🤩
Rockstar🎓
Top SchoolEunjin Song is a senior software engineer with 7 years of experience specializing in large-scale data platforms, currently building the AEP Lakehouse at Adobe after leading Delta Lake and Spark runtime work in Azure Synapse and Microsoft Fabric. She combines deep database internals expertise from SAP HANA with practical cloud storage and performance optimizations—authoring improvements like optimized Parquet writers, low-shuffle merge, Z-order clustering, and snapshot metadata tuning. Eunjin has guided cross-repo engineering efforts, built a context-aware AI PR review system, and contributed as a main developer to Microsoft Hyperspace (indexing for Spark), demonstrating strong open-source impact. Based in California, she blends research-caliber thinking (coauthor on a VLDB paper) with hands-on production delivery and a knack for diagnosing subtle consistency and performance bugs.
6 years of coding experience
8 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Seoul National UniversityBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Sungkyunkwan University
Github Skills (51)
spark10
delta-lake10
architecture10
databases10
big-data10
storage10
indexing10
analytics10
acid10
hive10
azure10
presto10
subsystem10
hadoop9
prestodb9
Programming languages (5)
Github contributions (5)
sezruby/hyperspace
Jul 2020 - Jan 2022
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
Contributions:652 pushes, 192 branches, 3 tags in 1 year 6 months
queryindexworkloadsaccelerationindexing
sezruby/delta
Oct 2021 - Oct 2023
An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.
Contributions:87 pushes, 16 branches in 2 years 1 month
scalableworkloadsapachebig-dataspark
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