Nazli developed the Snowflake Dynamic Table Clustering Configuration feature in the dbt-labs/dbt-adapters repository, enabling users to specify clustering columns for dynamic tables to optimize data retrieval. She updated SQL macros to support the new cluster_by parameter during dynamic table creation and replacement, ensuring the configuration was fully integrated into the workflow. Nazli implemented comprehensive functional tests to validate clustering behavior and end-to-end flows, focusing on delivering a robust, production-ready feature. Her work demonstrated strong proficiency in Python, SQL, and dbt, and addressed performance and scalability needs for Snowflake users by enhancing dynamic table materialization with targeted clustering support.