Database design optimization that supports the API's performance

Starting at

$

30

/hr

About this service

Summary

I offer professional database design, schema optimization, and ORM integration to ensure your application is fast, scalable, and secure. I don’t just design databases — I create efficient, future-proof data architectures backed by best practices in optimization, normalization, and performance tuning. What sets me apart is my ability to blend deep technical knowledge with real-world scalability, delivering clean, fully documented solutions that grow with your business.

Process

Discuss your project goals, data needs, and any existing challenges or future plans.
Identify and document all functional and non-functional database requirements, including scalability, security, and performance expectations.
Create a fully normalized database schema with a visual ERD (Entity-Relationship Diagram) to map out all tables, fields, and relationships.
Choose and configure the best ORM (e.g., Sequelize, Prisma, TypeORM) to fit your tech stack, ensuring seamless integration between your database and application.
Build database tables, relations, constraints, indexes, and initial migrations using best practices for maintainability and scalability.
Fine-tune queries, apply indexing strategies, and set up caching if needed to maximize database performance.
Conduct thorough testing of database operations, queries, and ORM interactions to ensure data integrity, speed, and reliability.
Provide full database schema documentation, optimization guidelines, and ORM usage notes for your team.
Final handoff with optional post-delivery support for fine-tuning, scaling strategies, and future database enhancements.

FAQs

  • What tools do you use to design the database schema?

    I typically use tools like dbdiagram.io, DrawSQL, Lucidchart, or ERD tools built into platforms like Prisma or Sequelize to create clear and professional database diagrams.

  • Can you help me choose the right database for my project?

    Absolutely! Based on your project's needs, I’ll recommend the best choice between SQL (e.g., PostgreSQL, MySQL) or NoSQL (e.g., MongoDB, DynamoDB), or even BaaS solutions like Supabase or Firebase if needed.

  • Will you set up an ORM for my project?

    Yes! I’ll recommend and integrate an ORM like Sequelize, Prisma, or TypeORM, making your database easier to manage, migrate, and scale with your application.

  • How do you optimize the database for performance?

    I optimize through normalization, proper indexing strategies, efficient query structuring, caching where necessary, and applying best practices for schema design and data access patterns.

  • Can you help if I already have a database but it's slow or messy?

    Yes! I offer database refactoring and optimization services to clean up your existing schema, optimize queries, and improve overall performance without starting from scratch.

  • Do you offer post-project support?

    Yes, I offer post-launch support packages to help with maintenance, scaling, troubleshooting, and further database enhancements as your application grows.

What's included

  • Database Schema Diagram

    A visual ERD (Entity-Relationship Diagram) showing tables, fields, relationships, and constraints.

  • Database Schema Documentation

    Detailed descriptions of each table, column, data types, indexes, primary/foreign keys, and any special constraints.

  • Normalized Database Structure

    A properly normalized database design (typically up to 3NF or based on the project’s needs) to reduce redundancy and improve data integrity.

  • Choice of ORM

    Recommendation and setup of an ORM (Object-Relational Mapping) tool such as Sequelize, Prisma, or TypeORM — with explanation of why it was chosen and how it integrates with the project stack.

  • ORM Models and Migrations

    Creation of ORM models that mirror the database schema, along with migration files for consistent database updates across environments.

  • Query Optimization Guidelines

    Suggestions or samples of optimized SQL queries (e.g., avoiding N+1 problems, using efficient joins, pagination strategies).

  • Backup and Recovery Plan

    Guidelines or scripts for regularly backing up the database and restoring it if needed.

  • Database Security Recommendations

    Security best practices for protecting data, such as user roles, encryption, and secure connections.

  • Scaling Strategy

    Recommendations for database scaling solutions if required (e.g., replication, sharding, caching with Redis).

  • Performance Benchmark

    A report showing performance improvements and baseline metrics post-optimization.


Skills and tools

Backend Engineer

Database Engineer

DevOps Engineer

Docker

Docker

MongoDB

MongoDB

MySQL

MySQL

ORM

ORM

PostgreSQL

PostgreSQL