Developed a core data-graph capability for the intellistream/SAGE repository, focusing on business value through graph-based insights and visualization. Built the KnowledgeGraphIndex class in Python, enabling construction, insertion, deletion, and modification of graph edges and relationships to support flexible knowledge graph management. Leveraged data structures and graph database concepts to provide CRUD operations, facilitating downstream analytics and search enhancements. Integrated data visualization using NetworkX and Matplotlib, allowing for rapid inspection and effective stakeholder demonstrations. Delivered the feature as a single, cohesive commit, demonstrating end-to-end engineering from data modeling to visualization within a modern Python-based data infrastructure context.