Summary
Guangbin Zhu is a Head of Infrastructure and Big Data architect with 13 years of experience designing and operating large-scale distributed data platforms. He has led multi-thousand-node Hadoop, Kafka, and Flink deployments, built multi-IDC HA Kafka clusters and a streaming platform with Flink-on-K8s, and is currently driving infrastructure at an AI startup in Shanghai. A hands-on full-stack engineer, he blends deep familiarity with Hadoop/Hive/HBase/Spark/Kafka/Flink and practical skills in Java/Python/Linux/DBs to deliver ETL, DW and LakeHouse solutions. His background spans AdTech at Qihoo 360 and MediaV—where data-driven advertising systems and high-throughput logging pipelines were core responsibilities—plus earlier cloud and distributed database research at ZTE. Notably, he has implemented Presto-on-K8s OLAP integrations with Hudi and dynamic scaling strategies, reflecting a focus on operational resilience and developer-friendly platform tooling. He pairs a Master’s in Computer Science with a track record of turning complex streaming and batch architectures into production-grade, self-service platforms.
13 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Beijing Jiaotong University
Bachelor of Science (B.S.) Telecommunications Engineering, Bachelor of Science (B.S.) Telecommunications Engineering at Shandong University
English