Summary
Brendan O'dwyer is a Principal Cloud Data Engineer with 11 years of experience building resilient, event-driven data platforms and ML infrastructure across financial and insurance domains. He specializes in distributed systems, Kafka ecosystem design and governance, and automating cloud-native deployments for scalable model serving and streaming analytics. Brendan has a strong track record at enterprises like USAA, Charles Schwab, and Tokio Marine HCC driving observability, data lineage, and CI/CD for models and clusters, often implementing custom tooling in Java and Python. A pragmatic lifelong learner who openly admits gaps, he pairs deep hands-on engineering—Puppet automation, Pub/Sub/BigQuery/TF pipelines, and protocol buffers-based model portability—with practical governance to balance velocity and reliability. Based in the Dallas–Fort Worth area with a background in economics, he brings both technical depth and a business-minded approach to shaping data strategies that reduce operational risk and improve throughput.
11 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Economics, Bachelor's Degree Economics at The University of Texas at Arlington
English