Jamie Farnell
About Jamie Farnell
Jamie Farnell is the Director of Data Engineering at FreshBooks, where he has worked since 2021. He has over a decade of experience in data engineering and business intelligence roles at various companies, including Scotiabank, Torstar Corporation, and Bell Canada.
Current Role at FreshBooks
Jamie Farnell serves as the Director of Data Engineering at FreshBooks, a position held since 2021. In this role, Farnell is responsible for overseeing data engineering initiatives, ensuring the effective management and utilization of data resources within the organization. This position builds on a solid foundation of experience in data engineering and business intelligence.
Previous Experience at Torstar Corporation
Prior to joining FreshBooks, Jamie Farnell worked at Torstar Corporation as the Director of Data Engineering and Visualization from 2018 to 2021. In this role, Farnell led efforts to enhance data visualization and engineering processes, contributing to the company's data-driven decision-making capabilities.
Experience at Bell Canada
Jamie Farnell held multiple positions at Bell Canada from 2007 to 2018. Farnell began as a QA Analyst from 2007 to 2009, then transitioned to roles such as SAS Business Intelligence Programmer in 2015, and later as Sr. Manager of Business Intelligence from 2016 to 2018. These roles involved managing business intelligence initiatives and overseeing ETL development and production support.
Work History at Scotiabank
From 2012 to 2014, Jamie Farnell worked at Scotiabank as a SAS Programmer Analyst. This role involved analyzing data and developing SAS programs to support the bank's data analysis needs, contributing to the overall efficiency of data management within the organization.
Education and Academic Background
Jamie Farnell earned a Bachelor of Applied Science in Mathematics and Engineering from Queen's University, studying from 2003 to 2007. This academic background provided a strong foundation in mathematics, computer engineering, and electrical engineering, which supports Farnell's expertise in data engineering and analytics.