Identify and map data sources, tables, and relationships in Snowflake for graph modeling.
Establish secure connections between Snowflake and AWS Neptune via AWS services, storing intermediate data in S3 for transformation.
Collaborate with platform teams to understand data structures and implement data extraction processes.
Load extracted data into AWS S3 for graph model transformation.
Analyze data relationships and entity mappings to define an effective graph schema.
Design nodes, edges, and properties based on entity definitions and implement the schema in AWS Neptune.
Create indexes to optimize query performance and refine schema based on usage patterns.
Define transformation logic and develop DBT models for data transformation.
Schedule and automate ELT pipelines using DBT and Snowflake to ensure seamless data flow.

Strong expertise in AWS Neptune, Neo4j, and Graph databases.
Hands-on experience with Snowflake, S3, and AWS Cloud services.
Experience designing and implementing graph schemas, nodes, edges, and properties.
Proficiency with DBT for data transformation and ELT pipeline automation.
Strong understanding of data modeling, relationships, and query optimization for graph databases.
Excellent collaboration and communication skills for working with cross-functional teams.