Brian Schulz

Enthusiast
DISC Type : i

VP Data & Analytics (Data Engineering) at Equifax

Austin, Texas Metropolitan Area, United States

Overview

Brian is a VP of Data Engineering at Equifax with over 22 years of experience leading data strategy, architecture, and management. He specializes in Big Data, GCP, and analytics, and holds a Masters from Missouri State University. Colleagues describe him as a person of "high integrity and great abilities".

He developed the reference architecture for Equifaxs transition from on-premise Hadoop to the Google Cloud Platform and created an Airflow paradigm to accelerate the automation of data pipelines for both engineers and non-engineers.

Personality Overview

Optimistic

Non-Confrontational

Story Driven

Unlike D or C types, they are convinced more by stories and testimonials.  They tend to be agreeable by nature, so take their promises with a pinch of salt.
 They are more about building relationships than just cutting deals.

Topics They Care About

Cloud Data Migration
He developed the reference architecture for migrating analytics from an on-premise Hadoop cluster to the Google Cloud Platform at Equifax.
Data Pipeline Automation
Designed an Airflow paradigm allowing both engineers and non-engineers to rapidly automate Hive and Impala data pipelines for analytics.
Big Data Architecture
His experience centers on leveraging PySpark, Hive, and Hadoop to maximize throughput and develop defined workflows for analytical systems.

Media Appearances

Brian has no verified media appearances

Work History

5-2019
VP Data & Analytics (Data Engineering) at Equifax
6-2015 - 4-2019
Senior Director Data & Analytics (Data Engineering) at Equifax
6-2014 - 6-2015
Manager Data Management, Data Engineering, and Insights at Equifax
1-2001 - 3-2011
Senior Market Research Consultant at Gallup
5-1998 - 1-2001
Market Research Consultant at Gallup

Education

1994 - 1996
Masters from Missouri State University
1992 - 1994
BA from St. Mary's University

More Information

Social Presence :

Prographics :

Exp : 24 Location : Austin, Texas Metropolitan Area, United States Job Level : Senior Designation : VP Data & Analytics (Data Engineering) at Equifax
URL has been copied!

Insights For Selling To Brian

During A Call Or A Meeting

DO's

  • Refer to interesting customer testimonials and stress on great customer experience
  • Speak from experience about success that the product has seen with other customers
  • Compliment them about their personality if you get a chance

DONT's

  • Avoid overloading them with too much information
  • Don't be critical or challenge them openly, they can react defensively
  • Don’t be too formal with them, they trust informality more

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Brian is

  • Relationships and rapport matter to them, but so does the value of the product.
  • Will you ever get a clear answer from Brian

  • They are unlikely to say no directly.

Insights For Deal Planning

    How fast (or slow) will Brian move?

  • They are not very fast decision makers, even while they continue to stay engaged.
  • Can Brian take some risk or not?

  • If it seems really necessary, they can take small risks.

You And Brian

Personality Compatibility


Other Equifax Employees

Explore more public profiles from related professionals at the same organization.

More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.