Summary
Zhenjie Tang is a Big Data and AI product solution architect leader with 11 years of experience designing and delivering large-scale data platforms, BI products, and search solutions across enterprises like Alibaba Cloud, Lenovo, EMC and iResearch. He blends deep hands-on expertise in data engineering (Hadoop, Spark, Kafka, OLAP engines) and search/NoSQL systems (Lucene/ElasticSearch, MongoDB, Couchbase) with product-level ownership of BI and content management offerings. As a leader he has driven global product strategy and led teams of 50+ engineers to productionize ML, user-behavior analytics, and ETL pipelines for e-commerce and cloud services. Notably he built and tuned high-throughput full-text search and XML/NoSQL data solutions that supported millions of mobile records and mission-critical enterprise content systems. He pairs JVM/Python development and performance tuning skills with practical operational knowledge (Linux, virtualization, VMware) to close the gap between architecture and delivery. Based in Shanghai, he also brings an uncommon combination of economic-statistics training and pragmatic engineering that informs data-driven product strategy.
11 years of coding experience
13 years of employment as a software developer
Master's degree, Economic Statistics, Master's degree, Economic Statistics at Shanghai University of Finance and Economics
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sanda University
English