Summary
Matt Galaviz is a Senior Data Engineer with 14 years of experience building and operating large-scale data systems across on-premise Hadoop (Cloudera) and AWS environments. He has a deep hands-on background in Big Data tooling (HDFS, MapReduce, YARN, Hive, Oozie, Sqoop) and is a polyglot developer fluent in Java, Python, C#, C++ and scripting for both Linux and Windows. At companies from Millenium Health to Intuit and now Apple, he has architected automated data pipelines, proved out AWS-based Big Data POCs, and built developer-facing tooling and UIs to streamline metadata and deployment workflows. Known as a quick learner, he routinely integrates new technologies (CloudFormation, EMR, Spark) to improve data flow and operational efficiency. Based in San Diego, he blends dev, ops, and analytics enablement skills to turn complex data requirements into production-ready solutions.
14 years of coding experience
15 years of employment as a software developer
Cal Poly Pomona