Lavanya D
About Lavanya D
Lavanya D is an Account Manager in Data Engineering at LatentView Analytics, with over a decade of experience in Business Intelligence and Analytics. She has a strong technical background in developing scalable web services and cloud solutions, and holds a Bachelor of Engineering in Electrical and Electronics Engineering from Anna University.
Work at LatentView Analytics
Currently, Lavanya D serves as an Account Manager in Data Engineering at LatentView Analytics, a position she has held since 2021 in Houston, Texas. Prior to this role, she worked in various capacities at LatentView Analytics, including Senior Analyst from 2016 to 2018 and Assistant Manager from 2018 to 2020, both in Chennai, India. During her tenure, she contributed to projects involving cloud computing and data engineering, enhancing the company's capabilities in Business Intelligence and Analytics.
Education and Expertise
Lavanya D completed her Bachelor of Engineering in Electrical and Electronics Engineering at Anna University from 2007 to 2011. Prior to this, she studied Computer Science at Jaigopal Garodia Matriculation Higher Sec School from 1993 to 2007. She possesses expertise in cloud computing with AWS and Azure, and has hands-on experience with AWS Web Services. Additionally, she is proficient in programming languages such as SQL, JavaScript, and Python.
Background
Lavanya D began her career as a Business Analyst at Tenth Planet Technologies from 2011 to 2013 in Chennai, India. She then progressed to the role of Senior Business Analyst at the same company from 2013 to 2016. Her experience spans over a decade in Business Intelligence and Analytics, with a strong focus on data engineering and the development of scalable web services and APIs on distributed systems.
Achievements
Throughout her career, Lavanya D has demonstrated a strong belief in adapting software solutions to meet evolving customer needs. She has been involved in designing cloud solutions that facilitate the extraction, transformation, and loading of data from various big data sources, creating efficient query-able interfaces. Her technical background and hands-on experience have contributed to the success of multiple projects in the field of data engineering.