I’m a data engineer/analytics engineer focused on building scalable pipelines, high-integrity data systems, and fast, reliable BI solutions. My experience spans Defense analytics at KPMG, end-to-end data modeling with dbt + PostgreSQL, big-data pipelines with PySpark/AWS/Databricks, and workflow orchestration with Airflow. I enjoy solving messy data problems, optimizing SQL, and designing systems that are simple, reliable, and built to scale. Previously an ed-tech founder and published author, I bring a strong product mindset and a track record of mentoring 2,000+ learners. I’ve published 3+ research papers, completed multiple fellowships, conducted ML research at the University of Copenhagen, and scaled my bootstrapped startup from zero. If you work in data engineering, analytics engineering, ML systems, or product/data strategy, feel free to connect — always happy to chat.