Jiachuan Zhu
Senior Software Engineer at Brado AI
Hangzhou City, Zhejiang, China
Summary
🤩
Rockstar🎓
Top SchoolJiachuan Zhu is a Senior Software Engineer with over a decade of experience designing and implementing data warehousing and big data architectures using Java, Scala, Python, Go, Spark, Hive, Hadoop, Flink and Hudi. He has progressed from ETL and Oracle/Teradata development into senior platform roles at Syniverse, Kyligence and Brado AI, combining deep SQL/PLSQL expertise with modern stream and batch processing. An active backend contributor to the open-source Byzer (MLSQL) project, he has improved core streaming, DSL and storage integrations — including adding Azure Blob support and custom file handling — highlighting a focus on practical, production-ready data pipelines. Based in Hangzhou, he brings pragmatic system-level thinking to data-heavy problems and a track record of enhancing core functionality rather than only building surface features.
10 years of coding experience
15 years of employment as a software developer
Hangzhou Dianzi University
Github Skills (16)
data-stream10
javas10
stream10
big-data10
stream-processing10
data-streaming10
java10
streaming-data10
streaming10
data-pipelines9
data-pipeline9
github-repos9
sql9
spark9
git-repository9
Programming languages (11)
Github contributions (5)
byzer-org/byzer-lang
Jul 2021 - Oct 2022
Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 110 reviews, 86 commits in 1 year 3 months
Contributions summary:Jiachuan primarily contributed to the `streamingpro-core`, `streamingpro-mlsql` and `external` modules of the Byzer-Lang project. Their work involved modifying core functionalities like template evaluation, delta file source, and authorization logic. They also made changes to the MLSQL DSL and algorithms such as the SQLRateSampler and SQLWord2VecInPlace and added configurations for Azure Blob storage in CustomFS, including the support for /run/script application/json. Overall, the user's commits demonstrate a focus on enhancing the project's core functionality and data processing capabilities.
bigdataanalyticspipelinedata-sciencelow-code
byzer-org/byzer-build
Jul 2021 - Nov 2022
Contributions:24 reviews, 144 commits, 136 PRs in 1 year 4 months
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