Kapil Gupta
About Kapil Gupta
Kapil Gupta is the Vice President of Engineering at Yugabyte, where he has worked since 2021. He has extensive experience in leading large engineering teams and a strong background in machine learning, cloud architecture, and data management, having held significant roles at companies like Google, Amazon Web Services, and Microsoft.
Current Role at Yugabyte
Kapil Gupta serves as the Vice President of Engineering at Yugabyte, a position he has held since 2021. In this role, he oversees engineering operations and contributes to the development of Yugabyte's cloud-native database solutions. His leadership is focused on enhancing the company's engineering capabilities and driving product innovation.
Previous Experience at Google
Before joining Yugabyte, Kapil Gupta worked at Google as an Engineering Leader for Google Spanner from 2012 to 2017. During his tenure in Kirkland, he led engineering teams and contributed to the development of scalable database solutions, enhancing the performance and capacity of cloud services.
Engineering Leadership at Microsoft
Kapil Gupta held multiple positions at Microsoft, including Principal Manager for SQL Server & Azure and Partner Director of Engineering for Azure Data Warehouse. His time at Microsoft spanned from 2004 to 2020, where he managed engineering teams and focused on developing cloud-based data solutions and in-memory database technologies.
Experience at Amazon Web Services
Kapil Gupta worked as Director of Engineering at Amazon Web Services (AWS) from 2020 to 2021. In this role, he was responsible for leading engineering initiatives and enhancing AWS's cloud offerings, leveraging his expertise in cloud capacity and performance management.
Education and Expertise
Kapil Gupta earned a Bachelor of Technology (BTech) from the Indian Institute of Technology, Delhi, and a Master's degree in Computer Science from The University of Texas at Austin. He possesses a strong background in machine learning, planet-scale cloud architecture, and OLTP databases, along with extensive experience in data warehousing and analytics.