You will get a PostgreSQL database designed and optimized for production

Project details
Struggling with a slow database, messy schema or starting from scratch and not sure how to structure your data?
I'm a full-stack developer with real production database experience. I designed an 18-table PostgreSQL schema for FIMS, a live ERP system used by 3 real manufacturing units daily. I implemented B-Tree indexing that reduced query latency by 30% in production, FIFO costing algorithms and multi-tenant data isolation, all running live under real business load.
What I can do for you:
• Design clean, normalized database schema from scratch
• Optimize slow queries and add proper indexing
• Design multi-tenant database architecture
• PostgreSQL, MySQL, MongoDB or SQLite
• Entity relationship diagrams and full documentation
• Database migration from one system to another
• Row-level security and permissions setup
• Import and export data between systems
A well designed database is the foundation of every great application. Message me with your requirements and I'll design it right the first time.
I'm a full-stack developer with real production database experience. I designed an 18-table PostgreSQL schema for FIMS, a live ERP system used by 3 real manufacturing units daily. I implemented B-Tree indexing that reduced query latency by 30% in production, FIFO costing algorithms and multi-tenant data isolation, all running live under real business load.
What I can do for you:
• Design clean, normalized database schema from scratch
• Optimize slow queries and add proper indexing
• Design multi-tenant database architecture
• PostgreSQL, MySQL, MongoDB or SQLite
• Entity relationship diagrams and full documentation
• Database migration from one system to another
• Row-level security and permissions setup
• Import and export data between systems
A well designed database is the foundation of every great application. Message me with your requirements and I'll design it right the first time.
Database Type
PostgreSQLWhat's included
| Service Tiers |
Starter
$35
|
Standard
$65
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 4 |
Number of Tables Added | 5 | 10 | 15 |
Schema Diagram | |||
Permissions Setup | - | ||
Import/Export Data | - | ||
Admin Panel Setup | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20
Additional Revision
+$10
Additional Table Added
+$6Frequently asked questions
About Smit
Full-Stack Engineer | Production SaaS & Real-Time Systems
Ahmedabad, India - 2:40 pm local time
My flagship build is FIMS (Factory Inventory Management System), is actively used by 3 manufacturing facilities every day. It handles real-time inventory sync via SocketIO, 40+ REST APIs with JWT authentication, Docker-based deployments, and role-based access control. It's not a demo. It's running right now.
Here's what you get when you work with me:
→ Full-stack systems built with React 18, Node.js, Express, PostgreSQL
→ Real-time features using SocketIO (live dashboards, notifications, sync)
→ REST APIs with proper auth, error handling, and documentation
→ Docker deployments you can actually maintain
→ 80%+ test coverage so bugs get caught before your users do
→ CI/CD pipelines via GitHub Actions — push to deploy, no babysitting required
I have time, energy, and hunger that senior developers charging 5x my rate simply don't. I treat every project like it's going on my permanent record, because on Upwork, it is.
If you want clean code, honest timelines, and someone who communicates before problems happen, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Smit can start the project.
Delivery time starts when Smit receives requirements from you.
Smit works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze requirements
I map out every entity, relationship, and data flow in your application before touching a table. Bad schema decisions made early cost 10x more to fix later.
Design the schema
I design a fully normalized schema with proper foreign keys, constraints, and an indexing strategy planned from day one, not bolted on after things get slow.