Nitish Ranjan is a skilled Data Engineer currently serving as the Technical Lead for Data & AI at Chubb, where they focus on optimizing data solutions. Previously, Nitish held senior engineering roles at Mercedes-Benz, Accenture, and ANZ, developing and implementing advanced ETL pipelines and Generative AI applications. Notable achievements include leading the development of a Retrieval-Augmented Generation chatbot, significantly reducing manual search time, and migrating complex workflows to Databricks. Nitish’s expertise in Azure Data Factory and Databricks, along with their commitment to data quality, has consistently delivered impactful business solutions.
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