Bodo on Iceberg aims to simplify big data management for data engineers and scientists by leveraging Apache Iceberg's table metadata format, allowing for efficient and cost-effective storage of structured, semi-structured, and unstructured data. Bodo engine's simplicity, speed, and flexibility are crucial in realizing the potential of Iceberg tables at scale, enabling high performance and scalability. The first alpha version of the Bodo-Iceberg connector supports basic reading of Iceberg tables with automatic filter pushdown, providing a simple Pandas experience for users, with plans to support all Iceberg features in upcoming releases. By integrating Iceberg with Bodo, users can take advantage of the benefits of both platforms, avoiding vendor lock-in and fostering a vibrant ecosystem of tools and services that supports demanding data workloads at scale.