Jayanth Telu is a data engineering professional with a Master of Science in Computer Science from the University of North Carolina at Charlotte, achieving a perfect 4.0 GPA. Experience includes serving as a Research Assistant at the University, where Jayanth migrated over 500K records to Azure Data Lake and developed predictive models with 85% accuracy, leading to significant efficiency gains. Currently, as an Analyst II - Data Engineer at John Deere, Jayanth automates ETL workflows for processing over 10 million records daily and creates Power BI dashboards for real-time operational insights. Previous roles include Associate Data Engineer at PwC, where Jayanth migrated 20TB of data to Azure Synapse, and as a Data Scientist Intern at Tata Consultancy Services, analyzing healthcare data for operational improvements.
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