D H A R A M
API & Database Development Services

Professional API & Database Development Services

I design and build secure, scalable RESTful APIs and GraphQL services that power modern web and mobile applications. Each API is architected with clear versioning, proper validation, authentication, and consistent response structures so your frontend, mobile apps, and third-party systems can integrate confidently.

On the data side, I create optimized database architectures using MongoDB, PostgreSQL, and MySQL based on your requirements. From flexible document models to strict relational schemas, the goal is always the same: predictable performance, data integrity, and clean structures that are easy to maintain and extend over time.

With 4+ years of experience building production APIs and databases, I focus on scalability, query optimization, and reliability. This includes designing endpoints around real business use cases, minimizing over-fetching and under-fetching, and ensuring that both your APIs and databases can handle growth in traffic and data volume.

Every project includes production-grade fundamentals: secure authentication and authorization, proper error handling, rate limiting where needed, logging and monitoring hooks, and database queries written to avoid performance bottlenecks. I also ensure your APIs are well-documented so your team and external partners can use them without friction.

  • RESTful API design with Node.js & Express.js
  • GraphQL schemas, resolvers, and batching
  • MongoDB data modeling for document-based workloads
  • PostgreSQL & MySQL relational schema design
  • Authentication & authorization (JWT, OAuth2)
  • OpenAPI/Swagger-based API documentation
  • Pagination, filtering, and sorting strategies
  • Advanced indexing and query optimization
  • Payment and third-party API integrations
  • Data migration and schema evolution planning

My API & Database Workflow

01

Requirements & Data Modeling

Starting with your business flows and data requirements, I define clear API contracts and design an efficient data model. This includes identifying entities, relationships, access patterns, and choosing the right database technology (MongoDB, PostgreSQL, or MySQL) for each part of the system.

02

API Design & Security

I design REST or GraphQL APIs with consistent naming, clear resource structures, and proper status codes. Security is built-in from the start using authentication, authorization, input validation, rate limiting, and best practices to protect against common vulnerabilities.

03

Implementation & Optimization

APIs and database queries are implemented with clean, testable code. I focus on query optimization, indexing strategies, avoiding N+1 problems, and ensuring endpoints are efficient even under load. Automated tests and monitoring hooks are added to catch issues early.

04

Integration & Documentation

I integrate third-party services, payment gateways, and internal microservices, ensuring smooth data flow across systems. Detailed API documentation, examples, and environment configuration guides are provided so your team can use and extend the system easily.

API & Database Solutions FAQ

Frequently Asked Questions

I design and build secure RESTful APIs and GraphQL services using Node.js, Express.js, TypeScript, and modern authentication standards like JWT and OAuth2. The APIs are versioned, documented with tools like OpenAPI/Swagger, and designed for long-term maintainability with proper error handling and rate limiting.

MongoDB is ideal for flexible, document-based data and fast iteration, while PostgreSQL and MySQL are better when strong relational integrity, complex queries, and ACID transactions are required. I select the right database (or a combination) based on your data model, consistency needs, and scalability requirements to ensure optimal performance.

Yes, I regularly integrate third-party APIs such as payment gateways (Stripe, Razorpay, PayPal), social media APIs, CRMs, marketing tools, and internal microservices. I handle authentication, rate limiting, retries, error handling, and logging to keep integrations stable, secure, and fully observable.

I design proper indexes, use efficient query patterns, avoid N+1 queries, normalize or denormalize where appropriate, and implement features like connection pooling, caching layers (Redis), and read replicas. For large-scale systems, I also plan sharding, partitioning, and background jobs for heavy operations to ensure consistent performance.

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Let's discuss your app idea: dharamdotin@gmail.com