Christopher Pang
About Christopher Pang
Christopher Pang is a Senior Data Engineer with over eight years of experience in data-driven business intelligence solutions. He has held various engineering roles at companies such as Philips, Leafi Home, and Validere, and holds multiple degrees from The University of British Columbia.
Work at Properly
Christopher Pang has been employed at Properly as a Senior Data Engineer since 2022. In this role, he focuses on developing data-driven solutions that enhance business intelligence capabilities. His experience in data engineering allows him to contribute effectively to the company's operational goals.
Previous Experience at Philips
Pang worked at Philips in various capacities, including Principal Software Engineer at Blue Willow Systems from 2017 to 2018 and Senior Software Engineer II from 2018 to 2019. He was part of the team at Blue Willow Systems, which was acquired by Philips in August 2018. Following the acquisition, he led two software teams, contributing to the integration and development of new software solutions.
Co-Founder of Leafi Home
Christopher Pang co-founded Leafi Home, a smart home hardware start-up, from 2019 to 2021. He played a key role in leading software, product, and branding efforts for the company. Leafi Home was accepted into e@UBC's Core Technology venture program, highlighting its potential in the smart home market.
Educational Background
Pang has a strong academic foundation, having studied at The University of British Columbia. He earned a Master of Management with a focus on Operations Research and holds a Bachelor of Applied Science in Computer Engineering. Additionally, he completed a Bachelor of Arts in Economics, equipping him with a diverse skill set applicable to data engineering and business intelligence.
Technical Expertise in Data Engineering
Christopher Pang possesses extensive technical expertise in various data engineering tools. His proficiency includes technologies such as Airflow, Spark, Dask, Kafka, Kinesis, Redshift, Terraform, and Docker. This knowledge supports his ability to build and maintain robust data-driven solutions that meet organizational needs.