Zhuohua Wu is a Director of Data Engineering with over a decade of experience building large-scale data platforms, ML pipelines, and production-grade analytics across finance and media. He combines hands-on engineering with technical leadership, having led cross-functional teams to deliver ETL migrations to cloud data lakes, real-time Kafka streaming enrichments, and entity/brand resolution systems that powered major bank integrations. In the past two years he’s focused on applying Generative AI and LLMs to practical business problems, including agentic meeting-prep tools for investment banking and few-shot brand resolution. Technically fluent across Spark, Hadoop, Snowflake/Databricks, Elasticsearch, Cassandra, and orchestration tools like Airflow, he regularly bridges research-quality ML work with robust operational deployments. Collected experience from compiler work to building Spark clusters and graph analytics gives him a rare blend of low-level systems thinking and product-minded data science. Based in Markham, Ontario, he’s known for turning complex, regulated data problems into reliable, scalable services that deliver measurable business value.
11 years of coding experience
10 years of employment as a software developer
B.S. Electronics and Information Engineering, B.S. Electronics and Information Engineering at Huazhong University of Science and Technology
Lianhua middle school
Master of Engineering (M.Eng.) Electrical and Computer Engineering, Master of Engineering (M.Eng.) Electrical and Computer Engineering at McGill University
Contributions:5 pushes, 31 branches in 5 years 6 months
apachebig-datasparkscalaapache-spark
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