Kenton Parton is a Sr. Software Engineer based in New York with eight years of experience designing and operating high-throughput data pipelines and consumer-facing apps. He builds cloud-native systems in AWS—using Kinesis, Lambda, Glue, Redshift and Elasticsearch—to process and visualize up to 20K events/second while cutting costs and query times through practical optimizations. Comfortable across Python, Java/JS stacks and ML libraries (TensorFlow, Keras, OpenCV), he pairs backend scalability with polished front-end experiences from React Native projects. A former Division-I athlete, he brings disciplined time management and team leadership to fast-paced, cross-functional environments. He’s delivered end-to-end products for startups and enterprises alike, from geolocation heatmaps and order-tracking web apps to production data-quality APIs. Outside work he’s driven by hands-on building and learning—evident in personal projects and a Udacity autonomous-driving specialization.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Major - Information Systems, Minor - Computer Science, Overall GPA 3.8, Bachelor of Science - BS, Major - Information Systems, Minor - Computer Science, Overall GPA 3.8 at University of Alabama at Birmingham
Self-Driving Car Engineer (Module 1), Autonomous Driving, Self-Driving Car Engineer (Module 1), Autonomous Driving at Udacity
opensearch-reindexer is a Python library that serves to help streamline reindexing data from one OpenSearch index to another using either the native OpenSearch Reindex API or Python, the OpenSearch Scroll API and Bulk inserts.
Contributions:24 commits, 5 PRs, 16 pushes in 1 month
python-libraryapireindexerpythonstreamline
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Kenton Parton - Sr. Software Engineer at EBSCO Industries, Inc.