With the ongoing evolution of decentralized data and computing paradigms, achieving effective coordination and synchronization of these components has emerged as a critical research challenge in distributed systems. In localized environments characterized by multiple data sources, the imperative arises to query and manage data in a harmonized manner. To tackle this, I propose a tailored solution that presents a unified system for the efficient management and aggregation of data, ensuring scalability and statelessness. Through meticulous evaluation and comparison with both centralized and decentralized alternatives, my approach showcases comparable performance in terms of request Round Trip Time while surpassing other solutions in Total Traffic Flow. My findings underscore the capability of the proposed solution to effectively address the latency trade-off within specific localized scenarios, wherein data is distributed across multiple instances. The solution embraces the principles of a stateless, on-demand aggregation and query system.