Ming DAI - Software Engineer at Databricks

Ming DAI

Software Engineer at Databricks

California, United States

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Summary

🤩

Rockstar

🎓

Top School

Ming DAI is a software engineer with three years of hands-on experience in data ingestion and backend systems, currently building scalable data solutions at Databricks after contributing to Google’s NAPA data warehouse. He brings a rare combination of hardware-rooted discipline from SPARC core work at Oracle and rigorous EE training from UCLA (MS, 3.97 GPA) to cloud-scale software problems. As an active contributor to the well-known Delta Lake project, he enhanced the CONVERT TO DELTA workflow—adding partition schema autofill, new file manifests, and support for special-character partition directories—helping bridge table formats like Iceberg into the Lakehouse ecosystem. Based in California, Ming blends research-grade attention to detail with production delivery, favoring pragmatic refactors that reduce friction for large-data workflows.

3 years of coding experience

9 years of employment as a software developer

Master's degree, Electrical Engineering, 3.97 (Major: 4.0), Master's degree, Electrical Engineering, 3.97 (Major: 4.0) at University of California, Los Angeles

B.Eng, Biomedical Engineering, 3.34 (Major: 3.65), B.Eng, Biomedical Engineering, 3.34 (Major: 3.65) at Zhejiang University

Github Skills (8)

scala10

parquet10

ice10

spark10

delta-lake10

apache-iceberg10

big-data9

data-engineering8

Programming languages (2)

ScalaHTML

Github contributions (4)

delta-io/delta

Jul 2022 - Dec 2022

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Role in this project:

Back-end Developer

Contributions:4 reviews, 12 commits, 10 PRs in 5 months

Contributions summary:Ming primarily focused on enhancing the "CONVERT TO DELTA" functionality within the Delta Lake project. Their contributions include adding features like automatic partition schema autofill, introducing new file manifests for catalog tables, and supporting partition directory names starting with special characters. They also refactored and improved the code related to ConvertToDeltaCommand, including support for Iceberg tables.

analyticsprestodbflinkbig-dataspark

mingdai-db/iceberg

Dec 2022 - Feb 2025

Apache Iceberg

Contributions:11 pushes in 2 years 2 months

database-accessparquetconnectorapache-icebergapache

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