Matthew Kellogg is an Enterprise Architect based in Phoenix with over a decade of experience designing and delivering scalable, production-grade systems across cloud, data, and streaming platforms. He combines hands-on engineering—especially with Azure, Databricks (Scala/Python), Kafka/Confluent, and Kubernetes—with proven leadership from managing teams and instigating formal SDLC and CI/CD practices. At U-Haul he architected enterprise streaming and big data foundations, built automated data integrity and ML release pipelines, and earned Confluent certification while improving Kafka Avro serialization via a custom .NET wrapper. Matthew has a track record of migrating legacy applications to modern platforms, optimizing high-throughput jobs and search systems, and evangelizing platform adoption through training and tooling. Comfortable in both hands-on implementation and strategic cloud/network design, he brings a pragmatic blend of systems thinking and developer mentoring. His background in mathematics and computer science underpins a systematic approach to reliability and performance at scale.
10 years of coding experience
12 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Texas Tech University
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Matthew Kellogg - Enterprise Architect at U-Haul International, Inc