Core schema
A focused database structure for a small application.
- Schema for up to 8 tables
- Core table relationships
- Primary and foreign keys
- Ready-to-run SQL file
Databases & Backend
Database design turns your business rules, queries, and expected workload into a maintainable schema with clear relationships, indexes, and documentation.
A database structure affects data integrity, reporting, application performance, and the cost of future changes. I map the core entities, workflows, permissions, reports, and retention needs before defining tables, fields, keys, and relationships. Workload assumptions are documented so the design can be reviewed again as traffic and data volume grow.
The process includes an ER diagram, appropriate data types, primary and foreign keys, uniqueness constraints, and indexes based on known query patterns. I can design for PostgreSQL, MySQL, or MongoDB after comparing consistency requirements, query behavior, team experience, and operating cost. The selected deliverables are provided as SQL or migration files with practical schema notes.
This service is suitable for new products, legacy databases that need restructuring, and teams that want a reviewed data model before development. The engagement covers the agreed number of entities and queries; application code, data migration, and production deployment are included only when listed in the package.
We define the objective, deliverables, dependencies, and success criteria before production starts.
You review working previews, so decisions are made against tangible output.
The agreed revision rounds are used to complete details within scope.
I deliver the agreed files, access, and practical usage notes in an organized package.
Databases & Backend · Delivery
Final pricing is provided after scope, deliverables, and integrations are confirmed.
A focused database structure for a small application.
A documented relational model for up to 15 tables.
A larger data architecture with defined performance considerations.
Delivery normally takes 3–20 days, depending on entity count, business rules, reporting needs, and review cycles. I confirm the package scope and schedule after the requirements review.
Yes. I compare data shape, transaction consistency, query patterns, team experience, hosting options, and operating cost before recommending PostgreSQL, MySQL, MongoDB, or another suitable system.
You receive the agreed SQL or migration files, an ER diagram, and documentation describing tables, relationships, constraints, and important implementation assumptions.
Database optimization identifies measurable MySQL or PostgreSQL bottlenecks and improves the agreed queries, indexes, and server settings with before-and-after evidence.
Firebase setup gives your web or mobile app a defined backend with authentication, data storage, security rules, and selected cloud services configured for its use cases.
Supabase setup provides a PostgreSQL backend with authentication, Row Level Security, Storage, and selected realtime or server-side features configured for your app.
Share a short brief and I’ll help define the scope, dependencies, and a realistic delivery window.
Tell me about the project