# Zhenyu (William) Dai > Software Development Engineer @ Amazon | M.S. in Applied Data Science @ UChicago Location: Boston, Massachusetts, United States Profile: https://flows.cv/zhenyuwilliamdai I’m a Software Engineer with ~3 years of professional experience building large-scale, distributed, and highly reliable systems—most recently within Amazon Global Logistics Tech. My work centers on designing resilient architectures, delivering production-grade backend services end-to-end, and improving the performance, accuracy, and automation of transportation and pricing workflows that power global logistics operations. I bring a mix of backend engineering, systems design, cloud architecture, and data-driven problem solving—supported by an MS in Applied Data Science from the University of Chicago and a BBA/Math double major from Emory University. I’m especially passionate about creating software that drives measurable operational impact and solving high-scale engineering problems through scalable, well-designed systems. Open to any software development roles or opportunities in the Boston and New York areas, particularly those where I can contribute to meaningful impact through strong backend engineering, cloud-native development, and reliable system design at scale. ## Work Experience ### Software Development Engineer @ Amazon Jan 2023 – Present | Boston, MA • Owned the core low-level design for a key workstream under an SVP-level initiative to improve inbound delivery precision and reliability; authored designs spanning 5+ interconnected systems, facilitating scalable on-time-delivery enforcement and reducing downstream processing delays across the network • Improved delivery-window accuracy and compliance reliability across 97% of the inbound network by integrating carrier transit-time data and shipment-level capacity validation into the existing computation framework • Enabled a multi-million-dollar shift from fixed rates to dynamic, science-driven pricing for seller shipping costs by developing a new AWS-Lambda-based pricing service and refactoring backend systems to support real-time markup-rate decisions; designed the BI export component processing 20M+ weekly markup records • Unblocked a critical dependency for the launch of an international retail domain (Amazon.ie) by delivering infrastructure mapping and commercial-invoice generation workflows, supporting a $1MM/day revenue launch • Reduced onboarding time for new transportation-compliance use cases from multiple weeks to <2 days by implementing an automated workflow orchestrator and centralized configuration store for templates, replacing a legacy manual process • Drove operational excellence through on-call participation, contributing to CloudAuth migration, mature host cutovers, and migration to modern load-balancer infrastructure, improving authentication resilience and service stability • Led Agile team ceremonies (daily stand-ups, sprint planning, retrospectives, and demos) and managed sprint workflows and team backlog in Asana/Jira to maintain clear priorities, surface blockers early, and improve team delivery cadence • Mentored two junior engineers on communication, prioritization, and time management, and supported new engineers in rapidly ramping up to full development productivity through guided onboarding and hands-on coaching ### Data Engineer @ Amazon Jan 2023 – Jan 2024 | Bellevue, WA • Designed and implemented a serverless integration system between the transportation change-management platform and the automated deployment engine, eliminating 14,000+ manual requests and 3M+ row-change updates annually, and reducing processing time by ~ 83% through automated request handling, status tracking, and robust error handling • Reduced data-export time by 67%+ and removed ~8 hours of manual work per transportation change type by redesigning the pipeline into a scalable serverless system (Lambda, Step Functions, Glue, S3), enabling sub-hour onboarding for new change types and safeguarding consistent downstream data through batching, partitioning, and standardized flattening ### Data Engineer Intern @ Amazon Jan 2022 – Jan 2022 | Remote • Cross-functional Work: Collaborated with 3 teams (project management, product, and software engineering) to expand functionality and enhance user experience on the internal product for transport network topology planning • Data Pipeline: Lessened 30% validation failures by modifying data pipelines for network change validation via SQL • Database Maintenance: Improved query performance by 55% by applying table partitioning in the PostgreSQL database • Backend Development: Enriched UX on the product’s frontend by adding new attributes in data models via Java and SQL • Data Export: Enabled external usage for topology data by automating ETL from internal database to AWS data lake ### Data Scientist (Search Algorithm) @ POIZON Global Jan 2020 – Jan 2021 | Shanghai, China • Cross-functional Work: Collaborated with 3 teams (project management, product operations, algorithm engineering) to enhance recall & precision, search efficiency, and user experience for the app’s internal search product • Technical Procedure Design: Achieved 91% optimizing efficiency by developing an SOP (Standard Operating Procedure) and designing 15+ essential data tables and models in SQL for internal search function optimization • A/B Testing: Analyzed AB test results for trending searches to measure the impact of the query filtering and sorting rules • Project Management: Optimized click-through rate by an average of 40 percentage points by leading a team of 3 master-level interns to work on 30,000+ search bad cases • Data Pipeline: Built data pipeline to automate ETL of search raw data from database to AI cloud via Python and SQL • Strategic Report: Improved algorithm strategies by analyzing search conversions weekly data on problematic indexes ### Business Analyst @ Gaosi Education Group Jan 2020 – Jan 2020 | Beijing, China • Opportunity Sizing: Recognized the highest growth areas from 3 branches by running the lifetime value analysis • Time-series Analysis: Reduced 20% overstock by conducting a time-series prediction model on print runs • Marketing Analysis: Identified 2 product lines’ major success factors of target markets by applying classification models • Weekly Report: Revised the template of daily/weekly data reports and automated the data preparation process via SQL ### Academic Specialist @ Sinica Education Jan 2019 – Jan 2020 | Greater Los Angeles Area • Created rigorous STEM programs and designed online curriculums for high school and college students • Coached students to compete in math competitions of all levels including the American Mathematics Competitions • Taught computer science, IT, and economics via online lectures in both one-on-one and small group settings • Advised students on their course selection, undergraduate applications, and career planning ### Data Science Intern @ Stanley Black & Decker, Inc. Jan 2018 – Jan 2018 | Greater Atlanta Area • Dashboard Report: Visualized dashboards via Tableau to cast cost-benefit insights by analyzing 15M+ airline costs data • Industry Research: Conducted an in-depth evaluation on asset tracking market based on market size and future trends • Strategic Report: Proposed solutions that unify the firm’s code system to boost internal communication efficiency ### Digital Marketing Intern @ Stanley Black & Decker, Inc. Jan 2017 – Jan 2017 | Shanghai City, China • Gathered online brands and product-related articles, user comments, and test reports as part of the company’s social media improvement and search engine optimization project • Brainstormed ideas and contents of product promotion videos and constructed the scenarios in videos • Participated in the reconstruction of official websites and WeChat accounts for the Great China area ### Math Tutor @ Oxford College of Emory University Jan 2015 – Jan 2017 | Oxford, Georgia • Provided both private and group math tutoring to approximately 100 students from different backgrounds • Communicated effectively with students to identify the best method and solutions for solving problems ## Education ### Master of Science - MS in Applied Data Science University of Chicago ### Bachelor of Business Administration (B.B.A.) in Information Systems & Operation Management (ISOM) Emory University - Goizueta Business School ### Bachelor of Arts - BA in Mathematics Emory University ### Associate’s Degree in Liberal Arts and Sciences/Liberal Studies Oxford College of Emory University ### High School Dulwich International High School Programme Suzhou ## Contact & Social - LinkedIn: https://linkedin.com/in/zhenyu-william-dai-4836b7136 --- Source: https://flows.cv/zhenyuwilliamdai JSON Resume: https://flows.cv/zhenyuwilliamdai/resume.json Last updated: 2026-03-31