Yijie Shen

Yijie Shen

Principal Software Engineer @ Space + Time

About Yijie Shen

Yijie Shen is a Principal Software Engineer at Space and Time and an Arrow and Pulsar Committer at The Apache Software Foundation. He has extensive experience in data storage and query optimization, with a background in leading technical teams and a strong academic foundation in computer architecture.

Work at Space and Time

Yijie Shen has been serving as a Principal Software Engineer at Space and Time since 2022. In this role, he focuses on enhancing software solutions related to data storage and query optimization. His contributions are integral to the company's mission of improving data handling capabilities.

Contributions to The Apache Software Foundation

At The Apache Software Foundation, Yijie Shen holds the position of Arrow Committer since 2022 and Pulsar Committer since 2020. His work involves contributing to open-source projects that enhance data processing frameworks, reflecting his commitment to advancing technology in the software engineering community.

Previous Experience at Kuaishou Technology

Before joining Space and Time, Yijie Shen worked as a Technical Lead in Data Infrastructure at Kuaishou Technology from 2020 to 2022. His role involved overseeing data-related projects and optimizing data infrastructure, contributing to the company's data management strategies.

Experience at StreamNative

Yijie Shen was employed as a Senior Software Engineer at StreamNative from 2019 to 2020. During his tenure, he focused on developing software solutions that support data streaming and processing, which are critical for modern data applications.

Education and Expertise

Yijie Shen earned his Doctor of Philosophy (PhD) in Computer Architecture from the University of Chinese Academy of Sciences, studying from 2012 to 2020. He also holds a Bachelor of Engineering (BE) in Computer Software Engineering from Wuhan University, completed from 2008 to 2012. His academic background underpins his expertise in data storage and query execution optimization for big data analysis systems.

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