Vijith V.
About Vijith V.
Vijith V. is a Manager of Data Engineering with a background in data engineering and solutions engineering. He has held various positions at companies such as Aditi Technologies, HARMAN International, and Koch Technology Center, and he holds a Bachelor's Degree from Bangalore University.
Current Role at The Smart Cube
Vijith V. serves as the Manager of Data Engineering at The Smart Cube, a position he has held since 2022. In this role, he oversees data engineering projects, ensuring the effective management and utilization of data resources. His responsibilities include leading a team of engineers, developing data strategies, and implementing data solutions that align with the company's objectives.
Previous Experience at Aditi Technologies
Vijith V. has a significant history with Aditi Technologies, where he worked in two capacities. Initially, he joined as an Associate Solutions Engineer from 2012 to 2013 for 11 months in Bangalore. He later advanced to the role of Solutions Engineer, serving from 2013 to 2015 for two years in the Bengaluru Area. His experience at Aditi Technologies contributed to his foundational skills in solutions engineering.
Experience at HARMAN International
Vijith V. worked at HARMAN International in two roles. He first served as a Senior Engineer for six months in 2020 in India. Following this, he held the position of Senior Solutions Engineer from 2015 to 2020 for five years in London, United Kingdom. His tenure at HARMAN International involved working on advanced engineering solutions and contributing to various projects.
Role at Koch Technology Center
At Koch Technology Center, Vijith V. worked as a BI Data Engineer for 11 months in 2020. In this role, he focused on business intelligence and data analytics, contributing to the development of data-driven solutions that supported decision-making processes within the organization.
Education and Academic Background
Vijith V. completed his Bachelor’s Degree at Bangalore University. This academic background provided him with a solid foundation in engineering principles and practices, which he has applied throughout his professional career in various data engineering roles.