Worked on the opendatahub-io/feast repository to deliver a latest-value materialization feature for Feast feature retrieval, enabling the system to materialize and retrieve only the most recent feature values based on a configurable option. This approach updated the retrieval logic to support targeted data processing, reducing payload sizes and improving query performance. The implementation included a ClickHouse-specific integration to align with the new materialization path and enforced non-optional parameters across the materialization API to enhance robustness. The work leveraged Python for both data engineering and feature engineering tasks, focusing on improving efficiency and reliability within the feature store pipeline.