- Design and execute large-scale graph database evaluations and benchmarking initiatives.
- Extract, transform, and load data from Databricks into multiple graph database platforms.
- Build and maintain graph structures, entity relationships, and linkages that replicate production-grade data models.
- Implement benchmark workloads using graph query languages such as Cypher, GSQL, openCypher, nGQL, or AQL.
- Develop PostgreSQL baseline implementations using recursive CTEs and advanced querying techniques.
- Design and build APIs to evaluate real-world query performance and scalability.
- Analyze execution plans, indexing strategies, and query optimization opportunities.
- Continuously provision, configure, and tear down database environments for controlled testing.
- Document findings, benchmark results, technical trade-offs, and recommendations.
- Collaborate with architects, data engineers, and technical leadership teams throughout the evaluation process.
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