Cesar Valenzuela
About Cesar Valenzuela
Cesar Valenzuela is a Lead Product Manager at Treasure Data, with extensive experience in data management and product development across several prominent technology companies, including Square and eBay.
Work at Treasure Data
Cesar Valenzuela serves as the Lead Product Manager at Treasure Data, a role he has held since 2024. In this position, he focuses on enhancing product offerings and driving data-driven strategies. His expertise in product management is instrumental in guiding the development of innovative solutions that meet customer needs.
Previous Experience at Square
Prior to his current role, Valenzuela worked at Square for five years, from 2017 to 2022. He held the position of Product Manager, where he developed and optimized analytics for various data sets, including payments and subscriptions. He also managed the evolution of key data products, such as Data Watermark Service and SqAirflow, which improved data quality and accessibility.
Career Background in Data Engineering
Cesar Valenzuela has extensive experience in data engineering. He worked at LinkedIn from 2008 to 2014 as a Staff Software Warehouse Engineer and later as a Data Warehouse Manager. His tenure at eBay included roles such as Staff DW Software Architect and Analytical Data Mart Manager, contributing to the development of analytical frameworks and data solutions.
Education and Certifications
Valenzuela earned a Bachelor of Science degree in Computer Science from De La Salle University, where he studied from 1987 to 1991. He also holds a Project and Program Management certification from the University of California Extension, Santa Cruz, which complements his technical expertise in data management and product development.
Specializations in Data Management
Cesar Valenzuela specializes in data warehouse architecture, business intelligence, software development, and analytical data marts. His skill set enables him to effectively manage complex data systems and drive strategic initiatives that enhance data utilization across organizations.