Na Zhang
Software Engineering Manager at Netflix
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNa Zhang is a seasoned software engineering manager with 9 years focused on data catalog, metadata, and governance, now leading Data Discovery and Experience efforts at Netflix from Sunnyvale. She previously drove LinkedIn’s Metadata Graph and DataHub initiatives—contributing backend and ETL work to the widely used open-source DataHub project, including Elasticsearch reindexing and Rest.li ingestion clients. Her background spans deep systems and BI expertise from a decade at MicroStrategy where she designed high-performance connectors and transaction services, giving her a rare mix of large-scale metadata platform experience and low-level integration skills. Holder of a Master's in Computer Science from the University of Virginia and a BS from USTC, she combines technical breadth with hands-on engineering leadership and a penchant for refactoring complex data pipelines into reliable production services.
9 years of coding experience
18 years of employment as a software developer
Bachelor Computer Science, Bachelor Computer Science at University of Science and Technology of ChinaMaster Computer Science, Master Computer Science at University of Virginia
Github Skills (19)
python10
data-engineering10
amazon-elasticsearch10
datahub10
metadata10
etl-process10
elasticsearchquery10
aws-elasticsearch10
elasticsearch10
elasticsearch-api10
jython9
data-catalog9
rest-api8
service-discovery8
discovery8
Programming languages (1)
Github contributions (5)
datahub-project/datahub
Sep 2016 - Aug 2020
The Metadata Platform for your Data and AI Stack
Role in this project:
Back-end & Data Engineer
Back-end & Data EngineerContributions:22 reviews, 43 commits, 84 PRs in 3 years 11 months
Contributions summary:Na primarily contributed to the data ingestion and ETL processes within the DataHub project. Their work involved modifying scripts to remove hardcoded cluster names, refactoring and cleaning Elasticsearch ETL jobs, and implementing a Restli client for populating Espresso/Oracle datasets and schema metadata. They also worked on supporting Elasticsearch auto re-indexing and refactored search query templates.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
camelliazhang/WhereHows
Sep 2016 - Aug 2020
Data Discovery and Lineage for Big Data Ecosystem
Contributions:88 pushes, 2 branches, 2 comments in 3 years 11 months
lineagedata-sciencedata-discoverybig-datadiscovery
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