Summary
Yizhi Wu is an experienced engineering leader with 10 years building scalable backend and data platforms, now contributing at AWS after leading data and CDP initiatives at Dun & Bradstreet. He combines system-level software expertise from Qualcomm with modern big-data and cloud-native skills—Spark, Hadoop, Kafka, and extensive AWS managed services—to design ingestion, enrichment, and streaming pipelines for hundreds of millions of records. A hands-on tech lead and polyglot developer (Java, Scala, Python, C/C++), he has driven projects from prototyping to GA and helped migrate monolithic analytics products to microservices and cloud. Comfortable with both device drivers and distributed data architectures, he brings a pragmatic blend of low-level rigor and data-platform scalability. Colleagues describe him as a fast learner and easygoing collaborator who enjoys tackling ambiguous problems and shipping robust systems.
10 years of coding experience
11 years of employment as a software developer
Bachelor Computer Science, Bachelor Computer Science at Huazhong University of Science and Technology
Master Information Networking, Master Information Networking at Carnegie Mellon University
English, Chinese