Sevvanthi Muruganandham
About Sevvanthi Muruganandham
Sevvanthi Muruganandham is a Senior Data Engineer at Denodo in Chennai, India, with extensive experience in Data Virtualization projects. He has a background in Electronics and Communication Engineering and has worked with Denodo since 2017, progressing from Associate Data Engineer to his current role.
Work at Denodo
Sevvanthi Muruganandham has held multiple roles at Denodo, starting as an Associate Data Engineer from 2017 to 2019. Following this, she served as a Data Engineer from 2019 to 2021. Currently, she is a Senior Data Engineer, a position she has held since 2021. In her current role, she has been instrumental in helping customers and partners implement Data Virtualization projects using Denodo technologies. Her experience at Denodo spans over six years, during which she has contributed to various projects and initiatives.
Education and Expertise
Sevvanthi Muruganandham completed her Bachelor of Engineering in Electronics and Communication Engineering from Meenakshi College of Engineering, where she studied from 2012 to 2016. Prior to this, she attended Sri Ragavendra Matriculation Higher Secondary School and completed her higher secondary education from 2010 to 2012. She also studied at Aruna Higher Secondary School from 2005 to 2011, achieving her SSLC. Her educational background provides a solid foundation for her expertise in data engineering and virtualization.
Background
Sevvanthi Muruganandham is based in Chennai, Tamil Nadu, India. Her career in data engineering began with her roles at Denodo, where she has progressively advanced from an Associate Data Engineer to her current position as a Senior Data Engineer. Her journey reflects her commitment to the field and her ability to adapt to various circumstances and environments, which enhances her collaboration with diverse teams.
Professional Development
Sevvanthi demonstrates a keen interest in continuous learning and exploring new technologies and methodologies. This commitment to professional development is evident in her career progression and her ability to implement complex Data Virtualization projects. Her proactive approach to learning helps her stay updated with industry trends and best practices in data engineering.