Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Sandeep U

Sandeep U
Chief Data Architect and Head of Data Platform Engineering, Intuit


Sandeep Uttamchandani is the hands-on chief data architect and head of data platform engineering at Intuit, where he’s leading the cloud transformation of the big data analytics, ML, and transactional platform used by 3M+ small business users for financial accounting, payroll, and billions of dollars in daily payments. Previously, Sandeep held engineering roles at VMware and IBM and founded a startup focused on ML for managing enterprise systems. Sandeep’s experience uniquely combines building enterprise data products and operational expertise in managing petabyte-scale data and analytics platforms in production for IBM’s federal and Fortune 100 customers. Sandeep has received several excellence awards. He has over 40 issued patents and 25 publications in key systems conference such as VLDB, SIGMOD, CIDR, and USENIX. Sandeep is a regular speaker at academic institutions and conducts conference tutorials for data engineers and scientists. He advises PhD students and startups, serves as program committee member for systems and data conferences, and was an associate editor for ACM Transactions on Storage. He blogs on LinkedIn and his personal blog, Wrong Data Fabric. Sandeep holds a PhD in computer science from the University of Illinois at Urbana-Champaign.


11:1511:55 Thursday, 2 May 2019
Data Engineering and Architecture
Location: Capital Suite 8/9
Sandeep U (Intuit)
Average rating: ****.
(4.67, 3 ratings)
Teams today rely on dictionaries of collective wisdom—a mixed bag with regard to correctness: some datasets have accurate attribute details, while others are incorrect and outdated. This significantly impacts productivity of analysts and scientists. Sandeep Uttamchandani outlines three patterns to better manage data dictionaries. Read more.