Member Of Technical Staff at The Apache Software Foundation
Greater Seattle Area United States
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Summary
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Rockstar
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Top School
Bowen Li is a seasoned backend and distributed-systems engineer with 11 years of experience building production-grade data and infrastructure platforms across companies like Apple, Alibaba, EigenLayer, and OpenAI. He bridges core protocol work in Web3 (EigenLayer), real-time streaming (Apache Flink committer and contributor), and data engineering—evidenced by SQL models for Dune Analytics and a Datadog metrics reporter for Flink. Comfortable both as an IC and manager, he has led real-time data warehouse initiatives, shipped connectors and pipelines at scale, and advised product teams on architecture for OpenSea. Bowen combines open-source stewardship with hands-on protocol design and has contributed to high-profile projects spanning Flink, Spark, Iceberg, Hive and Airflow, reflecting deep expertise in cloud-native streaming and blockchain data. An understated strength is his ability to translate low-level telemetry and on-chain events into robust data models and operational tooling that enable transparent analytics and token economics.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering, Bachelor of Engineering at Renmin University of China
Master, Master at Carnegie Mellon University
Exchange, Exchange at City University of Hong Kong
Contributions:297 commits, 352 PRs, 159 pushes in 3 years 2 months
Contributions summary:Bowen primarily contributed to the development of a Datadog HTTP metrics reporter for Apache Flink, implementing code for metric reporting and providing testing for those metrics. This included adding new features for handling different metric types, adapting configurations, and addressing error logging issues. The user also made changes to the Kinesis connector, modifying default values and configurations.
Contributions:3 reviews, 17 PRs, 38 comments in 3 years 3 months
Contributions summary:Bowen primarily contributed to the development of data models and SQL views for the Dune Analytics platform, focusing on the Eigenlayer project. Their work involved creating new models, updating existing ones, and restructuring data schemas, particularly for Ethereum-related data. The user demonstrated expertise in defining data structures, transforming data, and implementing data pipelines, which is evident from code changes. Furthermore, they incorporated logic to derive exchange rates and native restaking models into the data pipeline.
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Bowen Li - Member Of Technical Staff at The Apache Software Foundation