Summary
Henry Zhu is an experienced研发工程师 with 11 years focused on large-scale data systems, currently building real-time and offline data warehouses at ByteDance in Beijing. He specializes in Kafka, Flink, Druid and Spark SQL to deliver sub-5 minute latency pipelines, million-QPS ingestion, accurate data backfills and percentile-aware analytics. His background spans data engineering, machine learning, front- and back-end work, and he has driven ownership of realtime monitoring, behavior inspection, and alarm attribution systems. Earlier roles at Baidu and an education startup honed his ETL, monitoring automation and applied-algorithm skills (kNN, linear models, neural nets). A Peking University-trained scientist by education, he combines rigorous analytical thinking from structural geology with pragmatic engineering to tame TB-scale daily workloads. Colleagues describe him as a hands-on builder who both optimizes stateful stream processing and enjoys sharing learnings publicly.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Structural Geology, GPA: 3.65/4.0, top 5%, Bachelor of Science, Structural Geology, GPA: 3.65/4.0, top 5% at Peking University