graph databases , data integration principles, data storage retrieval and indexing techniques specific to graph databases, query languages such as Cypher or Gremlin, graph data modeling, platform architecture, data security and governance practices

snowflake , Dynamodb, Data Modeling, Python, Sql, ETL frameworks, Airflow, AI-assisted development

cloud (AWS/Azure/GCP), Python, RAG, Transformers, LangChain/LangGraph, Agentic AI, NLP/ML frameworks