The Platform Reporting team is part of the Enterprise Product Platform, responsible for a critical reporting product that offers Bloomberg enterprise clients a comprehensive experience for managing their trade, compliance, risk, attribution performance and other analytical reports. Our mission is to build a platform that delivers a consistent user experience, enabling other applications to create enterprise-level reporting solutions with minimum effort. Our system handles highly spike-intensive batch workloads, providing software scalability and reliability. It's a growing business with more data sources adoption and use cases support in the last year. Our system is a comprehensive full-stack solution, spanning from the user interface for designing report definitions and managing reports, to the generation of reports in Excel, CSV, or PDF formats, and everything in between. The reporting system leverages a distributed architecture based on microservices (primarily written in Python) to manage complex reporting workflow including data acquisition and post-processing, with an orchestration layer in Lua. Additional backend technologies include Kafka, BlazingMQ, Pandas, and Bloomberg Cloud Service (BCS). Additionally, we leverage tools such as Jupyter Notebook, Jenkins and Docker, while maintaining system health through monitoring tools like Splunk, Humio and Grafana.