Summary
Najeeb Khan is a Senior Data Engineer based in Berlin with 10 years of experience building scalable, cloud-native data platforms and event-driven architectures. He specializes in designing and maintaining high-throughput ELT/ETL pipelines, transforming complex event data into analytics-ready formats and enabling self-service access for cross-functional teams. At MOIA he led migrations to modern stacks and built CubeJS-based APIs to power fast interactive visualizations, improving resilience and stakeholder agility. His background spans machine learning and computer vision—developing 3D sensor solutions and optimisation algorithms for indoor localisation—which gives him an edge when solving data problems that touch hardware or edge deployments. Academically strong with an MS in Informatics from TUM and top grades in his B.Tech, he combines rigorous research experience with pragmatic production engineering. Beyond day-to-day engineering he’s a tinkerer of software, hardware, and maths, often bridging theory and practice to deliver efficient, auditable systems.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at International Islamic University, Islamabad
Master's degree, Computer Engineering, Master's degree, Computer Engineering at University of Ulsan
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Saskatchewan