About

Anukriti Abbott is a solutions-driven system analyst with over 5 years of experience leading cross-functional teams in the development, maintenance, documentation, and delivery of process innovations driving the attainment of business goals. Currently working as a Data Engineer at Cognizant, she interacts with business product analysts, engineers, and product managers to gather requirements, follows agile methodology, participates in backlog review and sprint planning sessions, and leads project teams to achieve project milestones and deliverables. Anukriti also designs and develops functional/technical system design documents, leads a team of offshore analysts, and coordinates development activities during the analysis and development phase. Anukriti has experience in designing ETL workflows using Informatica and automating them using Autosys engine. She has also automated scripts for existing recurring enhancements using SQL and Autosys jobs. Anukriti is skilled in analyzing the root cause of issues raised in production and other lower regions by the dependent teams and fixing them. Prior to Cognizant, Anukriti worked as a Data Analyst at KMK Consulting, where she extensively worked with complex datasets using SAS, worked as a SAS programmer for statistical analysis, documentation, and reporting, and conducted quality checks for inbound data. She also worked closely with clients and the development team to gather and document business, technical, and operational requirements. Anukriti also worked as a Graduate Student Worker at Marist College, where she collaborated with other departments to gather complex information, generated and documented reports detailing critical issues and error trends, and managed multiple email systems for the school. Anukriti holds a Doctor of Business Administration degree in Management from Indiana Wesleyan University, a Master of Science degree in Management Information Systems and Business Analytics from Marist College, and a Bachelor's degree in Computer Science from Jaypee University. She is skilled in Data Engineering, SQL, and ETL.