• Query and analyze complex graph data in AWS Neptune using Gremlin • Develop and maintain Python-based scripts for data extraction, cleaning, transformation, and exploratory analysis • Perform data validation, profiling, and consistency checks across multiple data sources and entity types • Define and document entity relationships, schema mappings, and graph traversal patterns • Produce curated datasets for machine learning model training, evaluation, and threat research • Identify data quality issues, missing relationships, anomalous patterns, and signal gaps through exploratory analysis • Create and maintain query templates, analysis notebooks, and data lineage documentation • Collaborate with data engineers and ML engineers to refine data models and improve graph structure