Appriss Retail
Mrunal T is a seasoned data engineer with extensive experience in designing and developing ETL processes across several organizations. Currently serving as a Senior Data Engineer at Appriss Retail since March 2022, Mrunal T specializes in using Data Bricks to migrate campaign data into Azure Devops and employs Microsoft Azure for data storage and model deployment. Prior to this role, Mrunal T worked at Equifax as a Data Engineer, where similar ETL processes were executed. Experience also includes roles at Advance Auto Parts, AT&T, and Fusemachines, focusing on data extraction, transformation, and system development, demonstrating a strong background in data engineering and analytics throughout the career.
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Appriss Retail
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Reduce risk. Remove friction. Reimagine your consumer experience. Leveraging more than 20 years of data science expertise, Appriss® Retail transforms ecommerce and omnichannel consumer interactions by providing real-time, actionable recommendations that reduce fraud, drive efficiency, and maximize profitability. The company’s AI-driven, SaaS platform generates analytical insights and recommendations by applying proprietary models developed from the collective intelligence of more than 75 billion aggregated transactions to a retailer’s own data. Appriss Retail serves a global base of leading specialty, apparel, department store, hard goods, big box, grocery, pharmacy, and hospitality businesses in more than 150,000 physical and online locations in 45 countries across six continents. For more information visit https://apprissretail.com.