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Deepthi A. is a seasoned data engineer with extensive experience spanning over a decade across various notable organizations. Currently serving as a Senior Data Engineer at Shipt since June 2021, Deepthi has designed and implemented real-time streaming data pipelines utilizing Kafka and Spark structured streaming. Previous roles include positions at LinkedIn, Synchrony, Walmart, Radcom Software Services, Honeywell, Novartis, and MSN Laboratories, where Deepthi has demonstrated expertise in data engineering, data science, and analytics. This includes leveraging technologies such as Docker, Kubernetes, Azure, and Python for machine learning and data processing tasks. Deepthi holds a Master’s degree in Computer and Information Sciences from Southern Arkansas University and a Master’s degree in Biostatistics/Pharmacology from Jawaharlal Nehru Technological University.