Worked on the apache/iceberg repository to deliver a performance-focused enhancement for Spark-based view creation. Developed the Iceberg View Creation Analysis-Only feature, which analyzes the view body during creation without applying optimization, thereby eliminating unnecessary optimizer traversal and reducing latency for users provisioning views. This approach decoupled the analysis phase from optimization, resulting in a more maintainable and extensible codebase. The work leveraged Scala, Spark, and big data engineering skills to streamline the view creation workflow, enabling faster and more reliable Spark-Iceberg integrations. No major bugs were addressed, with the primary focus on scalable, maintainable improvements to view provisioning performance.