Overview

Gender

male

Investor Type

Angel

Prior to Cloudera, Daniel led development of cloud products at Google, including Google Compute Engine, Google App Engine, and Kubernetes. as well as the internal cluster management systems that manage all computation across Google’s fleet of servers.

Daniel was also closely involved in the growth of Google’s New York office, leading a team working on a range of challenges faced by Google’s internal software infrastructure.

Previous to Google, Daniel was director of development for DB2 on Linux, Unix, and Windows in IBM's Information Management division. Daniel started at IBM as a researcher at the IBM T. J. Watson Research Center, where his research focused on revolutionizing the way people build and use distributed systems. His research concentrated on technologies for enterprise messaging and cluster computing.

He holds a doctorate and master's degree in computer science from the University of Illinois at Urbana-Champaign and a bachelor's degree in computer science from Cornell University.