Summary
Zhiyu Wu is a PhD candidate and software engineer with a decade of experience building data-intensive, cloud-native systems across AWS and enterprise environments. At AWS Aurora DSQL he architected a queryable observability data lake that reduced query times by up to 95% and storage by 95%, using a CDK/TypeScript/Python pipeline with Kinesis, Firehose, S3, Parquet, Glue, and Athena. His background blends applied computer science (MS at Northeastern) with actuarial and financial training (BBA in Insurance and Actuarial Analysis), enabling a strong quantitative approach to system design and SLA-driven analytics. Zhiyu ships end-to-end solutions—from precise log-filtering and cross-account onboarding to user-facing dashboards powered by prepared Athena statements—and is comfortable translating messy operational signals into reliable, queryable insights. Based in Vancouver, he also maintains an active GitHub presence tied to his PhD work, reflecting a researcher-engineer mindset that favors measurable impact.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Northeastern University
Bachelor of Business Administration - BBA, Insurance, Financial and Actuarial Analysis, Bachelor of Business Administration - BBA, Insurance, Financial and Actuarial Analysis at 香港中文大学
Chinese, Chinese, English