Vivek Nair
About Vivek Nair
Vivek Nair is a Data Engineer with extensive experience in the field, having worked for various companies including Hotels.com, Vodafone, and Condé Nast. He holds a Bachelor of Science degree from Westminster Business School and has developed skills in data engineering and cloud computing over his career.
Work at Condé Nast
Vivek Nair has been employed at Condé Nast as a Data Engineer since 2020. His role involves managing and analyzing data to support various business functions within the organization. He continues to contribute to projects that enhance data-driven decision-making processes in the company.
Previous Experience at Hotels.com
Vivek Nair worked at Hotels.com, a subsidiary of Expedia, Inc., in multiple roles. He began as a Software Development Engineer from 2014 to 2017, after serving as a Data Warehouse Developer from 2013 to 2014. Additionally, he briefly worked as an SDE in Test (Data) for six months in 2013. His experience at Hotels.com spanned over four years, focusing on data management and software development.
Career at Vodafone and HSBC
Vivek Nair held positions at Vodafone and HSBC, both in London. He worked as a Data Engineer at Vodafone from 2018 to 2019 for one year. Prior to that, he served as a Cloud Computing Engineer at HSBC from 2017 to 2018 for nine months. These roles contributed to his expertise in data engineering and cloud technologies.
Education and Expertise
Vivek Nair earned a Bachelor of Science degree from Westminster Business School, completing his studies from 2007 to 2011. His educational background provides a foundation for his career in data engineering and software development, equipping him with essential skills for his roles in various organizations.
Experience in Data Roles
Throughout his career, Vivek Nair has held various data-related positions. He worked as a Data Engineer at Majestic Wine from 2020 to 2021 and as a Business Intelligence Analyst at Earthport from 2011 to 2012. His diverse experience in data roles highlights his proficiency in data analysis, management, and engineering.