About

Kyle Schmidt is a seasoned Senior Data Engineer with over six years of experience in software development and technology integration across various sectors. He is recognized for his natural aptitude for process optimization, application design, and metrics analysis, consistently exceeding expectations and performance goals. Kyle's professional focal points include data engineering, software design, metrics creation, information analysis, A/B testing, complex algorithms, project management, and team collaboration. Currently, Kyle is the Senior Data Engineer at Facebook, where he has originated, architected, and deployed a valuable SparseNN model that accurately predicts Meaningful Social Interactions, resulting in an MSI lift of 0.17% and a 110k increase in US DAP. He guides and collaborates with a productive team of colleagues throughout a data-driven initiative to advance the notification settings page, increasing click-through rates by 15%. Additionally, Kyle liaises with senior leadership, cross-functional teams, and engineering professionals to ensure the company's data management structure is driving the business forward with minimal expenditures. Colleagues describe Kyle as a progressive, driven, down-to-earth, data and software engineering expert who can be relied on to offer superior solutions that deliver profitable results on time and under budget. Kyle's past experience includes working as a Data Engineer at Facebook, where he employed control and authorization over the configuration and production of the complete data warehouse for Facebook notifications, amassing 24 PiB and 40k CPU days. He also worked as a Technical Advisor at Insight Data Science, where he guided and mentored aspiring data engineers in the Insight Data Engineering program, supporting them through 6-week data engineering projects and quizzing them on algorithms, data structures, data modeling, and SQL. Kyle holds a Bachelor of Arts in Applied Mathematics from Columbia University. His tech stack includes Data Engineering, SQL, Integration, Software Engineer, ML, and Data Warehouse. With almost ten years of relevant experience, Kyle is interested in connecting with former colleagues and managers, as well as other professionals in his field.