Paras is an Associate Data Engineer with experience in data migration and integration. He has designed and implemented optimized ETL pipelines using Azure Data Factory, SSIS, and T-SQL. His project work includes processing and analyzing large-scale datasets (132 million records) from Reddit using PySpark and RAPIDS AI, demonstrating advanced big data capabilities.
Experience
Associate Data Engineer
Exeevo
Directed the successful migration of user data from legacy CRM systems to Exeevo CRM for three clients, ensuring 99.9% accuracy and integrity. Managed data from multiple sources, streamlined processes, and ensured minimal disruption to client operations during transitions. Completed data migration for 3 clients and handled migration of more than 30 entities per client. Communicated with clients alongside Business Analysts (BAs) to understand requirements and execute them effectively. Designed and implemented an optimized ETL pipeline using Azure Data Factory, integrating data from Microsoft Dynamics CRM to Exeevo’s Go app with a 5-10% reduction in data transfer time and enhanced real-time sync efficiency. Utilized T-SQL, SSIS, and Azure Data Factory to improve data handling, resulting in faster and more reliable data integration processes.
Data Engineer Intern
Exeevo
Implemented Extract, Transform, Load (ETL) processes for migration and integration projects using SSIS and Azure Data Factory. Developed skills in T-SQL for querying and managing data in SQL Server environments.
Education
Indian Institute of Information Technology, Guwahati
Bachelor of Technology
Electronics and Communication Engineering