This paper presents a comprehensive solution for converting XML data to JSON format, enabling seamless integration with Google Cloud’s BigQuery. We explore the challenges of handling XML in modern data pipelines, provide a Python-based implementation, and discuss additional considerations such as cloud service utilization, cost optimization, and error handling automation. Our approach is designed to be scalable, efficient, and adaptable, making it ideal for real-time data processing in cloud environments.