API & Integration
GraphQL
Advanced proficiency — Ex-Amazon engineer with production experience across 6 platforms
See GraphQL in production. bootstrapped revenue.
Ex-Amazon engineer with production-tested skills. Built 6 platforms.
Ex-Amazon Engineer · Healthcare Innovation
No card charged today · Independent engineering · $0 to start
Proficiency Level
Proficient — Solid experience with real-world applications
Experience with GraphQL
GraphQL is part of Pablo Diaz's API design toolkit, with production experience building and consuming GraphQL APIs for data-intensive applications that benefit from client-specified queries. While Pablo's current stack primarily uses Next.js Server Actions and Supabase's PostgREST API for most data operations (chosen for their simplicity and direct database integration), he has implemented GraphQL in scenarios where the flexibility of client-driven queries provides genuine value over REST endpoints — particularly for data-intensive platforms where the same entity needs to be consumed by multiple frontend views with vastly different data shape requirements. A single entity could be rendered as a summary card, a detailed profile, an analysis view, or a comparative grid — each requiring different subsets and nested relationships of the same underlying data. A REST API would require either multiple endpoints or over-fetching, while GraphQL's query language allowed each view to request exactly the data it needed. Pablo's GraphQL expertise includes schema design with SDL (Schema Definition Language), resolver architecture, N+1 query prevention using DataLoader patterns, authentication and authorization at the resolver level, pagination with cursor-based connections, and real-time subscriptions for live data updates. He has evaluated and worked with various GraphQL implementations including Apollo Server, graphql-yoga, and Hasura for automatic schema generation from PostgreSQL — ultimately choosing the approach that best fits each project's complexity and team size. His perspective on GraphQL vs REST is pragmatic: GraphQL excels for complex data relationships with multiple consumers, while REST (or Server Actions) is simpler and more performant for most web application use cases. This nuanced understanding of when to apply each pattern reflects Pablo's engineering maturity — choosing the right tool for the specific problem rather than defaulting to the most complex solution.
Looking for a GraphQL Expert? See it in production.
Ex-Amazon engineer with production-tested skills. Built 6 platforms serving independent founders.
Ex-Amazon Engineer · Healthcare Innovation
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Frequently Asked Questions
How does Pablo Diaz use GraphQL in production?
Pablo implemented GraphQL for a company intelligence platform where multiple frontend views needed different data shapes from the same entities. He uses schema design with SDL, DataLoader for N+1 prevention, cursor-based pagination, and resolver-level auth. For most web apps, he prefers Next.js Server Actions for simplicity.
When does Pablo recommend GraphQL vs REST?
Pablo recommends GraphQL for complex data relationships with multiple consumers needing different data shapes. REST or Server Actions are preferred for typical web applications where endpoints map cleanly to views. His approach is pragmatic — choosing the simplest tool that solves the problem rather than defaulting to complexity.
What GraphQL tools has Pablo Diaz worked with?
Pablo has worked with Apollo Server, graphql-yoga, and Hasura for automatic PostgreSQL schema generation. He implements DataLoader patterns for batching, cursor-based connections for pagination, real-time subscriptions for live updates, and resolver-level authentication. His schema designs prioritize type safety and query efficiency.
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Ex-Amazon engineer with 80% proficiency. Built 6 production platforms serving independent founders.
Ex-Amazon Engineer · Healthcare Innovation
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