Austin Lee
Associate Account Executive
Virginia, United States
Summary
👤
Senior🎓
Top SchoolAustin Lee is an Associate Account Executive with a decade of cross-functional experience blending operations, data engineering, and customer-facing roles at Amazon and AWS. He pairs a BBA in Management and Marketing with hands-on experience building and automating AWS data pipelines—working on projects that move data between S3, RDS, and Redshift—to bring technical credibility to sales and demand-generation efforts. Previously an Area Manager and Assistant Manager in banking, he combines operational rigor and team leadership with strong communication and problem-solving skills to improve customer experience and productivity. Known for launching internal initiatives and affinity groups, he focuses on driving inclusive, scalable solutions that align business goals with technical execution.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Business Administration - BBA Business Management Marketing and Related Support Services, Bachelor of Business Administration - BBA Business Management Marketing and Related Support Services at University of Alabama at Birmingham
Github Skills (13)
aws-s310
sh10
bash10
script10
shell10
data-pipeline10
sqoop10
data-pipelines10
scripting10
data-engineering10
mysql9
rds9
amazon-rds9
Programming languages (2)
Github contributions (5)
amazon-archives/data-pipeline-samples
Jul 2015 - Apr 2016
This repository hosts sample pipelines
Role in this project:
Data Engineer
Data EngineerContributions:26 commits, 13 PRs, 2 comments in 9 months
Contributions summary:Austin primarily focused on developing and maintaining data pipeline components within the repository. Their work included creating and modifying scripts for data import using Sqoop, setting up and configuring AWS Data Pipelines, and writing scripts for database table creation. They also made adjustments to shell scripts that interact with AWS services, including S3, RDS, and Redshift. The commits demonstrate a clear focus on automating data movement and transforming data within an AWS environment.
pipelinepipeline-frameworkhostsaws-gluepipelines
aws-austin-lee/data-pipeline-samples
Jul 2015 - Oct 2021
Contributions:20 pushes, 3 branches in 6 years 3 months
pipelineshostspipelineworkflow
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