Tianyu Li
About Tianyu Li
Tianyu Li is a Staff Software Engineer at SoundCommerce, where he has worked since 2019. He has extensive experience in software development, having previously held positions at CommerceHub and Amazon.com, and specializes in data solutions and ELT frameworks.
Work at SoundCommerce
Tianyu Li has been employed at SoundCommerce as a Staff Software Engineer since 2019. In this role, he focuses on developing and maintaining the ELT framework and data warehousing solutions, utilizing Google BigQuery and Cloud Function. His responsibilities include collaborating with multiple teams to address complex data requirements and ensuring the effective design and maintenance of dashboarding systems. His contributions support the company's mission to enhance data-driven decision-making processes.
Previous Experience at CommerceHub
Prior to joining SoundCommerce, Tianyu Li worked at CommerceHub from 2015 to 2019. He held two positions during his tenure: Lead Software Development Engineer and Senior Software Development Engineer. In these roles, he contributed to software development efforts and collaborated with teams to create solutions that met challenging data requirements. His experience at CommerceHub spanned four years in the Greater Seattle Area.
Career at Amazon.com
Tianyu Li began his career at Amazon.com, where he served as a Senior Web Developer from 1999 to 2000. His role involved developing web applications and contributing to the company's early online platform. This experience laid the groundwork for his future endeavors in software development.
Education and Expertise
Tianyu Li studied Computer Science at the University of Washington from 1994 to 1996. His education provided him with a solid foundation in software development principles and practices. This academic background, combined with his extensive professional experience, equips him with the skills necessary to tackle complex data challenges in his current role.
Technical Skills and Tools
In his current position, Tianyu Li utilizes various technical tools and platforms, including Kubernetes workloads and Looker, to enhance enterprise-level environment tools. He works with large-scale data, focusing on the design, building, and maintenance of systems that facilitate effective data visualization and reporting.