Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Avinash Padmanabhan

Avinash Padmanabhan
Staff Quality Engineer, Intuit


Avinash Padmanabhan is a staff quality engineer in Intuit’s Small Business Data and Analytics group, where he focuses on ensuring quality of the data pipeline that enables the work of analysts and business stakeholders. Avinash has over 12 years of experience specializing in building frameworks and solutions that solve challenging quality problems and delight customers. He holds a master’s degree in electrical and computer engineering from the State University of New York.


1:50pm2:30pm Wednesday, March 15, 2017
Data engineering and architecture
Location: LL20 A Level: Intermediate
Secondary topics:  Architecture, Data Platform, Financial services
Average rating: *****
(5.00, 2 ratings)
Data warehouses are critical in driving business decisions—with SQL dominantly used to build ETL pipelines. While the technology has shifted from using RDBMS-centric data warehouses to data pipelines based on Hadoop and MPP databases, engineering and quality processes have not kept pace. Avinash Padmanabhan highlights the changes that Intuit's team made to improve processes and data quality. Read more.