Matthew Mcbride is a senior data engineer with 11 years building big data and real-time analytics platforms, currently delivering data solutions at Booz Allen Hamilton. He specializes in Hadoop-driven ecosystems, streaming and complex event processing using Java, Scala, and Python, and has deep experience deploying IoT-backed logistics analytics on AWS Lambda. His background spans legacy migration, systems automation, and Linux administration, reflecting a pragmatic blend of software engineering and operational rigor. At Savi Technology he turned sensor telemetry into real-time supply chain visibility for national shippers, and earlier roles focused on Hadoop implementations and web-enabled analytics. A mathematician by training, he brings analytical rigor to system design and a knack for making messy, high-volume data pipelines reliable in production. Colleagues know him as a hands-on engineer who pairs low-level systems knowledge with product-focused delivery.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at St. Mary's College of Maryland
A utility for the Raspberry Pi webcam "motion" application. Sends email alerts whenever motion is detected and the webcam is scanning.
Contributions:4 PRs, 12 pushes, 5 branches in 5 years 9 months
raspberry-pipythonwebcamraspberryalerts
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