Neelima Karve
About Neelima Karve
Neelima Karve is a Senior Data Engineer with extensive experience in data engineering and software development. She currently works at Valorem Reply and specializes in Lakehouse architecture using Azure technologies.
Current Role at Valorem Reply
Neelima Karve serves as a Senior Data Engineer at Valorem Reply, a position she has held since 2021. In this role, she specializes in implementing Lakehouse architecture using Azure technologies. Her expertise in data engineering solutions is critical to the projects she undertakes, focusing on optimizing data processing and management.
Previous Experience in Data Engineering
Before joining Valorem Reply, Neelima Karve worked in various roles that contributed to her expertise in data engineering. She was a Senior Data Engineer at Capgemini from 2019 to 2021, where she further developed her skills in data management. Prior to that, she held positions as a Senior Data Engineer at 9Logic Technologies Inc. and as a Sr. Consultant at Design Laboratory Inc.
Career Background in Technology
Neelima Karve has a diverse background in technology, with significant experience in software engineering and data analysis. She worked at Tata Consultancy Services as a System Analyst for six years, followed by a role as a Sr. Software Engineer at Hexaware Technologies. Her career spans over a decade, showcasing her adaptability and growth in the technology sector.
Educational Qualifications
Neelima Karve earned her Bachelor of Engineering (B.E.) in Computer Science from Govt College of Engineering, Aurangabad. Her studies spanned from 2000 to 2004, providing her with a solid foundation in engineering principles and computer science, which she has applied throughout her career in various technical roles.
Technical Skills and Specializations
Neelima Karve specializes in implementing Lakehouse architecture and is proficient in utilizing Delta Live Tables for data processing and management. She has expertise in Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS), which are essential tools in her data engineering work. Her technical skills enable her to design and implement effective data solutions.