Xin Li is a Software Engineer 2 at Microsoft with eight years of experience building cloud infrastructure, currently contributing to Azure HDInsight control plane services. He specializes in backend systems for distributed query processing and storage, with notable open-source contributions to Apache DataFusion and Databend that improved SQL unparsing, parquet statistics handling, and federated query compatibility. Prior roles include infrastructure work at Xiaomi on IoT connectivity and academic tutoring in systems and networking, reflecting a strong practical and teaching background. He holds a Master's in Information Technology from UNSW and began his technical path with a Civil Engineering bachelor's, a non-obvious transition that underscores versatility and analytical rigor. Open to full-time OSS opportunities, he blends production-grade Microsoft cloud experience with active upstream collaboration on popular data projects.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at Chongqing University
Contributions:61 reviews, 34 PRs, 112 comments in 3 months
Contributions summary:Xin primarily focused on enhancing the SQL query engine within the Apache DataFusion repository. They implemented support for unparsing various SQL expressions, including `TryCast`, `GroupingSet`, and also added examples that demonstrate how to convert logical plans to/from SQL strings. They also addressed several bugs related to parquet statistics, specifically related to extracting statistics for `Date32`, `Date64`, `Binary`, `LargeBinary`, `Decimal256`, `Timestamp` and `UInt` columns.
๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
Role in this project:
Back-end Developer
Contributions:2 reviews, 3 PRs, 19 comments in 27 days
Contributions summary:Xin primarily contributed to the back-end functionality of the Databend project, focusing on implementing features related to federated query processing. Their work involved adding regular expressions for handling ClickHouse and MySQL federated queries, demonstrating a deep understanding of query parsing and execution. These changes included modifications to core service components and test cases, suggesting a focus on expanding the system's compatibility and capabilities for interacting with external data sources. The user also made formatting adjustments to address a formatting issue.
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