VANCOUVER, British Columbia--(BUSINESS WIRE)--$ai #ai--Infostrux Solutions, announced today that David MacKay has joined the company as Chief Revenue Officer. Leveraging his 20+ years of experience in advanced analytics, data platforms and cloud technologies, David will drive strategic growth for Infostrux.
Previously, David was the Vice President of Canada for Rackspace and Onica where he led a team to achieve greater than 80% YoY growth for two consecutive years.
“I am thrilled to join Kima and the Infostrux team as their Chief Revenue Officer,” says MacKay. “My primary focus will be to implement go-to-market strategies to drive our growth by partnering with Snowflake and other industry-leading organizations. By bringing together our team of passionate, talented, and technical people, our vision is to become the largest data cloud pure play services business in the world.”
“We are delighted to bring David onboard as our Chief Revenue Officer to help us build and grow Infostrux,” says Goran (Kima) Kimovski, Co-founder and CEO at Infostrux. “We are seeing an increased demand for data engineering as a service and cloud migration across all industries so David is joining us at a pivotal time as we are in a high-growth stage. We will look to leverage David’s leadership, knowledge, and expertise in data platforms and cloud transformation to deliver the greatest impact for our customers.”
After building the most successful AWS partner in Canada, the founders of TriNimbus wanted to dedicate their cloud experience into building a world-class data services organization. Thus, Infostrux was born.
Founded in 2021, Infostrux became a Snowflake Services Partner using their innovative Data Cloud Platform to enable customers to break organizational data silos, avoid repeating past data integration failures, and ensure the reliability of their data.
Kima says, “We are inspired to support organizations transitioning to data-driven decision making and unlocking the value of business data through the application of powerful data analytics, data science, and data products.”