Prayank Sharma
About Prayank Sharma
Prayank Sharma is a Senior Data Engineer with extensive experience in data engineering and project management. He has worked for notable companies such as Tata Consultancy Services, CNSI, and Cognizant, and holds a Bachelor of Technology in Computer Science from Jamia Millia Islamia.
Current Role at Iris Software Inc.
Prayank Sharma serves as a Senior Data Engineer at Iris Software Inc. since 2022. In this role, he utilizes his expertise in data engineering to develop and implement data solutions that support business objectives. His responsibilities include designing data models, optimizing data flows, and ensuring data quality. His experience in Agile development methodology aids in managing projects effectively.
Experience at Cognizant
Prayank Sharma has held multiple positions at Cognizant. He has worked as a Senior Associate - ETL Designer/Architect since 2017 in Gurugram, Haryana, India. Prior to this, he served as a Senior Associate, ETL Architect for 10 years in the Charlotte, North Carolina Area. His roles involve designing and implementing ETL processes, contributing to data integration projects, and enhancing data management strategies.
Previous Employment at Tata Consultancy Services
Before his tenure at Cognizant, Prayank Sharma worked at Tata Consultancy Services as an Analyst Programmer from 2009 to 2012. During this three-year period, he developed programming skills and gained experience in software development, contributing to various projects within the organization.
Education and Qualifications
Prayank Sharma earned a Bachelor of Technology (B.Tech.) in Computer Science from Jamia Millia Islamia, completing his studies from 2005 to 2009. He is also certified as an Azure Engineer, which demonstrates his proficiency in Microsoft Azure technologies and cloud computing solutions.
Expertise in Data Solutions
Prayank Sharma has specialized skills in implementing Data Warehousing and Business Intelligence solutions. His technical knowledge and experience enable him to design systems that facilitate data analysis and reporting, supporting decision-making processes within organizations.