If you need more lookups,
subscriptions start at $34 USD/month.
Austin Saylor Location
Dallas, TX, US
Austin Saylor Work
Data Engineering Advisor @ (June 2022 - Present)
Lead Associate – Business Intelligence @ (April 2020 - June 2022)
Lead Reporting Analyst @ (April 2013 - April 2020)
Senior Technology Consultant @ (July 2011 - April 2013)
Senior Information Analyst @ (October 2010 - July 2011)
Asset and Credit Specialist @ The Federal Reserve Bank (January 2007 - August 2009)
Quality Analyst @ The Federal Reserve Bank of Dallas (April 2006 - January 2007)
Optimization Analyst @ City Mortgage Group, LC (July 2003 - September 2005)
Austin Saylor Education
The University of Texas at Dallas
Mathematics (Statistics (Applied )
2000-2002
The University of Texas at Dallas
M.S. (Applied Mathematics)
2010
Austin Saylor Skills
AWS SageMaker
Agile
Alteryx
Amazon Redshift
Amazon Web Services (AWS)
Analytics
Big Data Analytics
Bitbucket
Business Analysis
Business Intelligence
Business Intelligence (BI)
Business Process Improvement
Data Analysis
Data Design
Data Mining
Data Wrangling
Databases
Extract, Transform, Load (ETL)
Forecasting
Git
Hive
Informatica
Jira
Management
Mentoring
Oracle Database
PostgreSQL
Problem Solving
Process Improvement
Product Development
Product Management
Python
R (Programming Language)
SAS
SAS Programming
SQL
SQL Server
Shell Scripting
Software Development Life Cycle (SDLC)
Statistics
Tableau
Training
Unix
Austin Saylor Summary
Austin Saylor, based in Dallas, TX, US, is currently a Data Engineering Advisor at Fannie Mae. Austin Saylor brings experience from previous roles at Fannie Mae, The Oakleaf Group and Targetbase. Austin Saylor holds a 2000 - 2002 Mathematics in Statistics (Applied @ The University of Texas at Dallas. With a robust skill set that includes AWS SageMaker, Agile, Alteryx, Amazon Redshift, Amazon Web Services (AWS) and more. Austin Saylor has 3 emails and 1 mobile phone numbers on RocketReach.
Looking for a different Austin Saylor?
Find contact details for 700 million professionals.