From Hadoop to Enterprise AI: Priya Vattikuti's Work Across the Evolution of Data Engineering
Source: International Business Times, Singapore Edition
Published on: 2026-10-23 12:32
Across financial services and healthcare, her work spans large-scale data processing, cloud automation, and the integration of AI into enterprise workflows. An AI model can generate an answer in seconds. Making that answer useful inside an enterprise requires engineering decisions about source data, transformation accuracy, access permissions, and the delivery of results to business systems. Priya Vattikuti's around 10 years of experience in software development, cloud infrastructure, and data engineering span this transition. Her work across Veritis Group, Thales, Vanguard, Fannie Mae, and Medtronic traces the discipline's expansion from Hadoop-based processing to cloud platforms incorporating machine learning and generative AI. Establishing Data Integrity in Hadoop Environments At Veritis Group, Vattikuti processed structured, semi-structured, and unstructured data using Kafka APIs...
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