Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Sandeep Uttamchandani

Sandeep Uttamchandani
Chief Data Architect, Intuit


Sandeep Uttamchandani is a chief data architect at Intuit, where he leads the cloud transformation of the big data analytics, ML, and transactional platform used by 4M+ small business users for financial accounting, payroll, and billions of dollars in daily payments. Previously, Sandeep was cofounder and CEO of a machine learning startup focused on ML for managing enterprise systems and played various engineering roles at VMware and IBM. His experience uniquely combines building enterprise data products and operational expertise in managing petabyte-scale data and analytics platforms in production. He’s received several excellence awards, over 40 issued patents , and 25 publications in key systems conferences such as the International Conference on Very Large Data Bases (VLDB), Special Interest Group on Management of Data (SIGMOD), Conference on Innovative Data Systems Research (CIDR), and USENIX. He’s a regular speaker at academic institutions, guest lectures for university courses, and conducts conference tutorials for data engineers and scientists, as well as advising PhD students and startups, serving as program committee member for systems and data conferences, and was an associate editor for ACM Transactions on Storage. He holds a PhD in computer science from the University of Illinois Urbana-Champaign.


5:25pm–6:05pm Wednesday, 09/12/2018
Location: 1A 23/24 Level: Beginner
Secondary topics:  Data Integration and Data Pipelines, Financial Services
Do your analysts always trust the insights generated by your data platform? Ensuring insights are always reliable is critical for use cases in the financial sector. Sandeep Uttamchandani outlines a circuit breaker pattern developed for data pipelines, similar to the common design pattern used in service architectures, that detects and corrects problems and ensures always reliable insights. Read more.