About me
About Me
Hi, I’m Kyle — thanks for stopping by and I'm really glad you're here.
I’m a Senior Data Engineer at General Motors, where I help design and scale data platforms that turn complex vehicle and enterprise data into actionable insights. With over seven years of experience spanning data engineering, technology operations, and software development, I’ve led initiatives across automotive, supply chain, and financial services—always focused on making data work harder and smarter for the business.
I’ve worked everywhere from fast-paced startups to steel mills, and one thing I’ve learned is this: the best ideas often come from the people who aren’t typically asked. I firmly believe in giving every employee an equal voice—regardless of title or background—because innovation thrives when inclusivity is more than just a buzzword. I strive to see the light in people, to listen more than I speak, and to lead with empathy and intent.
I value execution over perfection and action over paralyzing analysis. Whether I’m building a streaming data pipeline or guiding a new rider through their first motorcycle course, I bring a mindset of continuous learning, clarity, and follow-through.
Currently, I’m pursuing a Master’s in Business Intelligence and Data Analytics at Carnegie Mellon University, adding to a foundation that includes an MBA from Arizona State University, a Mechanical Engineering degree from The University of Akron, and a Six Sigma Black Belt certification from GM.
Outside of work, I’m a motorcycle safety coach with the Motorcycle Safety Foundation, helping new riders build confidence and stay safe on the road. I’m a passionate Ducati fan and a devoted tifosi who never misses a chance to cheer on Scuderia Ferrari in Formula 1.
If my journey, values, or skill set resonate with you, feel free to reach out. I’m always open to new collaborations, conversations, and challenges.
What i'm good at
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Software Development and Data Strategy
Hands on experience leading data teams from whiteboard to production deployed pipelines.
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Streaming Data
(Specialization in Video)I specialize in near real-time data processing with a focus on high-volume video workloads. My work centers around ingesting and transforming video streams from vehicles and IoT devices—enabling use cases like machine learning model training, real-time event detection, and scalable edge-to-cloud analytics.
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Data Curration and Insights
Leading teams by listening, empathising, and inspiring others to bring their best to work every single day.
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Full-Stack Data Solutions
Skilled in leveraging a wide range of tools to bring your data-driven ideas to life. I've worked across the entire data stack—from data transformation and API development, to cloud deployment pipelines and live dashboards in Streamlit—ensuring that insights are not only delivered but easily understood by your entire team.
Testimonials
