Kalan Mac Row
About Kalan Mac Row
Kalan Mac Row is the Director of Engineering (Data) at BioRender, with a strong background in data engineering and software development. He has held various roles at Hootsuite and Coho Data, advocating for agile data delivery and possessing expertise in cloud-native data architectures.
Current Role at BioRender
Kalan Mac Row serves as the Director of Engineering (Data) at BioRender since 2023. In this role, he focuses on leading data engineering initiatives and enhancing data analytics capabilities within the organization. His position is remote, allowing him to collaborate with teams across various locations.
Previous Experience at Hootsuite
Before joining BioRender, Kalan Mac Row held multiple positions at Hootsuite. He worked as a Senior Manager for the Data Platform and Data Engineering from 2022 to 2023. Prior to that, he served as the Manager of the Data Platform from 2019 to 2022, and as a Lead Software Engineer for the Data Platform from 2018 to 2019. His tenure at Hootsuite spanned several roles, contributing to the development and management of data systems.
Experience at Coho Data
Kalan Mac Row began his professional career at Coho Data, where he worked as a Software Engineer from 2013 to 2015. He later advanced to the position of Lead Software Engineer for the Telemetry Data Platform in 2015. His experience at Coho Data laid the foundation for his expertise in data engineering.
Education and Expertise
Kalan Mac Row holds a Master of Science (M.Sc.) and a Bachelor of Science (B.Sc.) in Computer Science from The University of British Columbia. His educational background is complemented by extensive technical expertise in building cloud-native, fully-managed, and serverless data architectures. He is proficient in various cloud platforms, including AWS, GCP, and Azure, and has experience with tools such as S3, Glue, Redshift, and Airflow.
Advocacy for Data Practices
Kalan Mac Row advocates for agile methodologies, self-service capabilities, and efficient delivery of data and analytics. He emphasizes the importance of implementing security and compliance standards, including SOC2, FedRAMP, and GDPR, in data engineering practices.