Pioneered a new ANTLR-based grammar to represent data flow transformations in a human-readable format. Engineered parsing and execution layers in Java, supporting transformation rules across distributed Spark pipelines. Maintained backward compatibility with legacy HRF formats, enabling seamless migration without disrupting existing workflows. Delivered 150+ features and enhancements based on production feedback, improving system reliability and developer adoption. Reduced average compile time significantly through parser and execution optimizations. Incorporated multiple customer-driven features, aligning system capabilities with real-world data transformation needs.