Summary
Christian Schmidt is a Senior Software Engineer and Lead Data Engineer with a decade-plus track record building cloud-native, microservices and Kubernetes architectures for real-time risk scoring and fraud detection, currently shaping Vantage ModelOps at Teradata. He blends hands-on big data engineering (Spark, Kafka, HDFS, NoSQL) with solutions architecture and product-minded leadership, having served as CTO of a fast-growing startup and led digital transformation projects across industries. PMP-, ITIL- and multiple Scrum-certified, he consistently applies agile principles to boost delivery, team motivation and measurable business outcomes. Multilingual and multicultural, Christian has lived between Spain and Denmark and leverages that perspective in international, cross-functional teams. His academic background—Industrial Design engineering plus masters and executive courses in Big Data, AI and product strategy—gives him a rare mix of design sensibility and data-driven engineering. An adaptable pragmatist, he often bridges strategic vision and low-level implementation to turn complex analytics needs into production-ready solutions.
5 years of coding experience
19 years of employment as a software developer
University of California San Diego
Artificial Intelligence: Implications for Business Strategy (Executive Program), Gestión de proyectos de tecnología de la información, Artificial Intelligence: Implications for Business Strategy (Executive Program), Gestión de proyectos de tecnología de la información at MIT Sloan Executive Education
Course, An Introduction to Consumer Neuroscience & Neuromarketing, Course, An Introduction to Consumer Neuroscience & Neuromarketing at Copenhagen Business School
Course, Inspiring Leadership through Emotional Intelligence, Distinction, Course, Inspiring Leadership through Emotional Intelligence, Distinction at Case Western Reserve University
Specialization Courses, Data Science, Specialization Courses, Data Science at Johns Hopkins Bloomberg School of Public Health
Specialization Course, Machine Learning, 91.6%, Specialization Course, Machine Learning, 91.6% at University of Toronto
Master in Data Management and Technological Innovation, Big Data, Open Innovation, 9.12, Master in Data Management and Technological Innovation, Big Data, Open Innovation, 9.12 at EAE Business School
The University of Maryland, College Park
Specialization Courses, Systems Biology, Specialization Courses, Systems Biology at Icahn School of Medicine at Mount Sinai
Universitat Politècnica de València
Master in Data Management and Technological Innovation, Big Data, Open Innovation, 9.12, Master in Data Management and Technological Innovation, Big Data, Open Innovation, 9.12 at Universitat de Barcelona
Danish, English, Swedish, Norwegian, valencian, Italian, Spanish