Neo4j graph database development and Cypher modeling

I design and build graph databases on Neo4j for products where the connections between things matter more than the things themselves. When you catch yourself writing five-way JOINs, watching queries crawl, and still failing to answer questions like "who is two hops away from a flagged account", that is the signal a graph fits better than a table. I start from your real questions, turn them into a clean schema of nodes and relationships, and prove it with Cypher on your own data before a line of application code is written.

My work covers the full path: modeling entities and relationships, choosing properties and indexes, tuning Cypher for traversals that stay fast as the graph grows, and importing existing data from SQL dumps, CSV, or event streams without losing history. On top of the database I build a clean API so your app talks to the graph through stable endpoints instead of raw queries. I have shipped recommendation engines, fraud and network-analysis backends, knowledge graphs, and identity-resolution systems where one traversal replaces dozens of table lookups.

You get a documented schema, a query library with explained execution plans, a rerunnable import pipeline, and an API layer with tests. If you are unsure whether a graph is the right tool, send me your hardest query and I will show you what it looks like as a traversal.