Henry is an experienced system builder focused on designing, debugging, and optimizing data workflows. He is currently a Data Engineer at MongoDB building systems that are used by thousands of data subscribers. He has also held previous technical roles at Kevala, where he built a modern data stack orchestrated in Airflow including Spark, BigQuery, and Google Data Studio, and Osaro, where he wrote control software for autonomous robotic systems.
As a product management professional with 20+ years of experience, I was nervous and excited to enroll in a Masters level course. Henry, a consummate teacher, played a tremendous role in helping me navigate a tough curriculum and be successful in my endeavor to learn. On many occasions, Henry helped clarify foundational elements needed for the course, reviewed specific lecture material, taught concepts from supplementary reading material suggested in the course and even helped me learn other reference material that would reinforce the learning.
Henry uses Airflow to implement data pipeline that handle large volumes of data ingestion, he shared his wealth of practical Airflow knowledge with colleagues to help them build modern data pipeline that are future proof. Henry is very knowledgeable on leveraging different Airflow operators that help improve productivity and performance.
The Uplimit Platform is on that would challenge you to learn and become a better version of yourself. With the maximum commitment by tutors, TA's and the community. Data Professionals and Engineers taking courses on Uplimit are already set up for success. Highly recommended.
