Summary
Zach Dischner is a Principal Software Engineer with 14+ years building data-driven systems, spacecraft mission software, and custom electronics, now leading backend and big-data efforts at Amazon. Trained as an aerospace and electrical engineer, he blends systems-level thinking with hands-on firmware, PCB design, and scientific-instrument integration—most notably designing a ground-up CMOS imaging system and a fine-steering mirror stabilization that achieved state-of-the-art balloon pointing. He’s equally fluent in cloud-native serverless stacks (Lambda, Dynamo, S3, Kinesis) and low-level hardware interfaces, and has shipped mission operations and sequencing tools for CYGNSS, New Horizons, and other space missions. Passionate about sensible workflows, reproducible data pipelines, and bringing concepts to production, he also drives Agile adoption and MOC infrastructure at scale. Currently focused on mission operations software and expanding into data science and machine learning, he pairs curiosity with a proven ability to move complex, multidisciplinary projects from prototype to operational status. Based in Boulder, he thrives at the intersection of aerospace ambition and modern software engineering.
14 years of coding experience
14 years of employment as a software developer
Introduction to Machine Learning, Introduction to Machine Learning at Coursera
Nanodegree, Data Science, Nanodegree, Data Science at Udacity
Masters/Bachelors, Aerospace Engineering; Electrical Engineering, Masters/Bachelors, Aerospace Engineering; Electrical Engineering at University of Colorado
BS, Aerospace Engineering, BS, Aerospace Engineering at BS
BS, Aerospace, BS, Aerospace at University of Colorado Boulder
English