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Raj Bains

Founder & CEO at Prophecy.io

Raj is the founder & CEO of Prophecy. Previously, Raj led project management of Apache Hive at Hortonworks through their IPO. He also headed product management and marketing for a NewSQL database startup.

Raj continues to actively develop compiler and database technologies in his quest to create data tools “that don’t suck.” His engineering roles include developing a NewSQL database, building CUDA at NVIDIA as a founding engineer, and as a compiler engineer working on Microsoft Visual Studio.

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BOOK NOW FOR your podcast

Raj Bains

Founder & CEO at Prophecy.io

Raj is the founder & CEO of Prophecy. Previously, Raj led project management of Apache Hive at Hortonworks through their IPO. He also headed product management and marketing for a NewSQL database startup.

Raj continues to actively develop compiler and database technologies in his quest to create data tools “that don’t suck.” His engineering roles include developing a NewSQL database, building CUDA at NVIDIA as a founding engineer, and as a compiler engineer working on Microsoft Visual Studio.

read more

As seen on

Timeline

Feb 2017 - Present

Prophecy.io

Founder & CEO

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Feb 2017 - Present

May 2014 - Oct 2015

Hortonworks

Product Management – Apache Hive (Hadoop)

Hortonworks logo.svg

May 2014 - Oct 2015

May 2012 - Apr 2014

Clustrix, Inc.

Director of Products

Clustrix Logo

May 2012 - Apr 2014

Jun 2011 - May 2012

RMS

Engineering Manager

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Jun 2011 - May 2012

Dec 2007 - Jun 2011

NVIDIA

Senior Software Engineer

Nvidia logo

Dec 2007 - Jun 2011

Feb 2006 - Nov 2007

Microsoft

Software Development Engineer

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Feb 2006 - Nov 2007

Aug 2004 - Feb 2006

3Dlabs

Compiler Developer

Aug 2004 - Feb 2006

Ask me

Why is data engineering still such a complicated and challenging undertaking?
What are the main stumbling blocks keeping key tools like Spark and Airflow being used more widely?
Data pipelines are mission-critical. How are companies ensuring their pipelines are reliable and work as scales and complexity increase?
The data in these pipelines also need to be watched end-to-end. What are the best practices for ensuring bad data doesn’t go through and data can be tracked back to the source?
Many ETL developers are used to developing pipelines but in a walled garden with Informatica or Ab Initio. How do ETL Developers transition to these new, open source data technologies?

Podcast agent: Erik S

erik@kitcaster.com