Summary
David Skinner is a software engineer with 13 years of experience building high-scale, low-latency systems for finance and advertising, currently working on streaming analytics and auction mechanics at A9/Amazon. A University of Waterloo Computer Engineering co-op graduate, he’s delivered real-time analytics pipelines, regionally distributed recommendation processing, and performance tuning for production deployments across AWS, Azure, and GCE. He combines deep systems and cloud expertise (Java, Python, C#, C++, Redis, Kafka-style streams, EMR/Kinesis) with hands-on web and data-visualization experience, having shipped front- and back-end features at startups and enterprise teams. An entrepreneurial builder, he co-founded logistics and web products that applied real-time analytics to physical networks and consumer services, and has a track record of squeezing large performance gains from existing code and infra. Notably, his background spans simulation orchestration, distributed sensor networks, and feedback-driven cache tuning—skills that bridge algorithmic thinking with operational robustness.
13 years of coding experience
3 years of employment as a software developer
Computer Engineering, Engineering, Computer Engineering, Engineering at University of Waterloo