Mr. Abhirup Mazumder

Building Sustainable and Scalable Data Ecosystems for the Grocery Retail Enterprise

Abstract:

The grocery retail industry generates enormous volumes of data across supply chains, stores, and digital channels. Turning this raw data into reliable, real-time insights at enterprise scale requires a robust, cloud-native foundation built on modern data engineering principles.

This keynote explores how organizations can design sustainable and scalable data ecosystems on AWS, enabling continuous insight generation while optimizing for cost, governance, and performance. Drawing from enterprise experience, the session will discuss practical patterns in data lake architecture, real-time analytics, and data lifecycle management that help grocery retailers modernize legacy systems and achieve operational excellence.

Attendees will gain actionable knowledge of how to:
• Build resilient, governed data platforms on AWS
• Balance scalability and cost-efficiency through architectural best practices
• Ensure data quality and observability across complex pipelines
• Implement sustainability in data storage, compute, and lifecycle policies

By the end, participants will understand how to transform data operations into sustainable, enterprise-grade infrastructure capable of powering the next generation of intelligent retail systems.

Profile:

Abhirup Mazumder is a Data Engineering Leader at a leading global e-commerce and retail technology organization, where he drives large-scale digital transformation initiatives. With over 18 years of experience spanning retail, healthcare, and property technology sectors, he specializes in enterprise data warehouse modernization, cloud migration, and AI implementation. His expertise in building scalable data architectures has delivered multi-million dollar cost optimizations and enhanced operational efficiency across major retail operations.

Abhirup holds a Bachelor's in Engineering and a postgraduate diploma in Artificial Intelligence from the University of Texas at Austin. His current work focuses on revolutionizing retail technology through advanced data engineering and AI-driven analytics, setting new industry standards for technological innovation in modern retail operations.