Heather Mc Cartney
About Heather Mc Cartney
Heather Mc Cartney is a Technical Lead at Aera Technology in York, England, with a background in data engineering, core Java, and DevOps.
Current Position at Aera Technology
Heather Mc Cartney is currently serving as a Technical Lead at Aera Technology, located in York, England, United Kingdom. Heather's role involves leadership and technical oversight, contributing to the advancement of the company's technical projects and guiding the team towards successful outcomes.
Previous Experience at Anaplan
Heather Mc Cartney worked at Anaplan for several years, holding various significant positions. From 2022 to 2024, Heather served as the Principal Machine Learning Engineer. Prior to that, in 2022, she held the position of Senior ML Engineer for 10 months. Heather was also the Development Team Lead from 2019 to 2021 and a Senior Software Engineer for three months in 2019. These roles were all based in York, England, United Kingdom.
Work Experience
Heather Mc Cartney has accumulated extensive work experience over the years in different technical roles. She was a Platform Engineer at Idio from 2017 to 2018, working remotely from London. At Stashmetrics, Heather worked as a Senior Java Developer from 2016 to 2017 and as a Java Developer (Contract) in 2014. She also had a stint at Yossarian Lives as a Full Stack Developer in 2015, working remotely. Earlier, she was a Lead Developer (Contract) at Panoplia from 2013 to 2014 and a Senior Java Developer at CPP from 2010 to 2013.
Education and Academic Background
Heather Mc Cartney pursued her higher education at the University of Cambridge, where she studied Music and graduated with a 2.1 classification. She also attended the University of York, further enhancing her educational credentials. Heather's diverse academic background complements her extensive technical expertise, providing a unique perspective to her roles in the technology sector.
Technical Expertise
Heather Mc Cartney has developed a strong background in data engineering, core Java, and DevOps throughout her career. She enjoys working with full stack data science teams, taking ideas from research to production. Heather's ability to work both remotely and on-site demonstrates her versatility and adaptability in various working environments.