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Database Team

Designing and optimizing data storage solutions

Expertise

  • •Database Design & Modeling
  • •Query Optimization
  • •Data Migration & ETL
  • •Backup & Recovery Strategies
  • •Database Security
  • •Performance Monitoring

Technologies

PostgreSQLMongoDBMySQLRedisElasticsearchSupabase

Our Process

1

Database Requirements Gathering

Understanding data needs and access patterns

  • →Analyze application data requirements
  • →Identify data entities and relationships
  • →Determine read/write patterns and performance needs
  • →Assess scalability and growth projections
  • →Choose appropriate database type (SQL vs NoSQL)
2

Schema Design & Modeling

Creating efficient database structure

  • →Design normalized database schema
  • →Create entity-relationship diagrams (ERD)
  • →Define primary keys, foreign keys, and constraints
  • →Plan indexing strategy for optimal performance
  • →Document schema design decisions
3

Database Setup & Configuration

Setting up database infrastructure

  • →Install and configure database server
  • →Set up development, staging, and production environments
  • →Configure connection pooling and resource limits
  • →Implement database user roles and permissions
  • →Set up automated backups and recovery procedures
4

Query Optimization

Ensuring efficient data retrieval and manipulation

  • →Analyze and optimize slow queries
  • →Create appropriate indexes for common queries
  • →Implement query caching strategies
  • →Use EXPLAIN plans to understand query execution
  • →Optimize joins and subqueries
5

Data Migration & ETL

Managing data transfers and transformations

  • →Plan and execute data migration strategies
  • →Implement ETL processes for data transformation
  • →Validate data integrity after migrations
  • →Create rollback procedures for failed migrations
  • →Document migration steps and procedures
6

Monitoring & Maintenance

Ongoing database health and performance monitoring

  • →Set up database monitoring and alerting
  • →Monitor query performance and slow queries
  • →Perform regular database maintenance tasks
  • →Review and optimize database configuration
  • →Ensure backup procedures are working correctly
Checklist Progress
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Code Quality

At least two team members have reviewed and approved the code changes

Code follows team coding standards, style guide, and best practices

ESLint/Prettier passes with zero errors and warnings

Complex logic is well-documented with clear comments and JSDoc

All console.log statements and debug code removed from production

Testing

Minimum 80% code coverage with meaningful unit tests

All integration tests pass successfully in CI/CD pipeline

Feature tested manually across different scenarios and edge cases

Verified functionality in Chrome, Firefox, Safari, and Edge

Tested on mobile devices (iOS/Android) and tablets

Existing features still work correctly after changes

Security

All user inputs are validated and sanitized to prevent injection attacks

Proper authentication and authorization checks implemented

No API keys, passwords, or sensitive data exposed in code

All API calls use HTTPS and secure communication protocols

No critical or high-severity vulnerabilities in dependencies

Proper CORS and Content Security Policy configured

Performance

Page load time, API response time meet performance targets

Images optimized and compressed, using appropriate formats (WebP, AVIF)

Large components and routes are code-split and lazy-loaded

Database queries optimized with proper indexes and efficient joins

Appropriate caching (Redis, CDN) for static and dynamic content

JavaScript bundle size within acceptable limits (< 200KB gzipped)

Accessibility

Meets WCAG 2.1 Level AA accessibility standards

All interactive elements accessible via keyboard navigation

Tested with screen readers (NVDA, JAWS, VoiceOver)

Text and interactive elements meet minimum contrast ratios (4.5:1)

Proper ARIA labels and semantic HTML elements used

Clear focus indicators for all interactive elements

Documentation

README.md includes setup instructions, dependencies, and usage

API endpoints documented with request/response examples

CHANGELOG.md updated with new features, fixes, and breaking changes

All required environment variables documented in .env.example

Deployment procedures documented for production release

Database & Data

Database migration scripts created and tested

Database backup completed before deployment

Rollback procedure documented and tested

Data validation and integrity checks implemented

Deployment

All automated tests passing in CI/CD pipeline

Feature deployed and tested in staging environment

All production environment variables configured correctly

Error tracking and performance monitoring set up

Release notes prepared for stakeholder communication

Plan for verifying production deployment is successful