Anil Kumar, a Global eCommerce Engineer at Walmart Labs, discusses the evolution and impact of data processing systems at Walmart, highlighting the adoption of Kafka to manage decentralized, autonomous services across multiple team operations. In 2014, Walmart began redesigning its data processing architecture to handle various data characteristics from products, offers, pricing, inventory, and logistics, aiming to improve product listing efficiency and business growth. Kafka's integration has supported the rapid onboarding of sellers and faster product listings, serving as the backbone for a Near Real Time Search Index and processing billions of updates daily, primarily driven by pricing and inventory adjustments. This shift has facilitated agile development and increased operational efficiency through decentralized data management while introducing challenges such as managing service topologies and schema management. The future focus includes increasing internal awareness of Kafka, exploring new streaming technologies like Kafka Streams and Apache Flink, and contributing to the Kafka open-source community.