Database & API (Management & Development)

Database & API (Management &Development)

Overview

I gain hands-on experience in designing and managing databases and developing efficient APIs, leveraging SQL, MongoDB, and Flask to create scalable solutions that optimize data flow and improve system integration.

Key Skills & Technologies

Programming: Python, SQL, NoSQL
Frameworks/Libraries: Flask, Express
Tools: MySQL, MongoDB, Redis, Postman
Concepts: Database Managment, API Development, Data Modeling, Authentication, and Security

Notable Projects

1. Full-Stack Ecommerce Web Application Development (NoSQL: MongoDB and API integration)
   • User Authentication & Role-Based Access: Supports user registration, login, and admin controls.
   • Product Management: Allows adding, updating, and deleting products.
   • Shopping Cart & Checkout: Enables users to add items to their cart and complete purchases.
   • Secure Payment Processing: Integrates payment gateways for secure transactions.
   • Order Tracking & Management: Users can view order history and track deliveries.
   • Scalability & Performance Optimization: Designed for a smooth and efficient user experience
   • Github source code
2. User API authentication system (API development)
   • User Registration & Authentication: Implements secure signup, login, and logout functionality.
   • Password Hashing: Uses encryption techniques to protect user credentials.
   • Session Management: Maintains user sessions for seamless authentication across requests.
   • Token-Based Authentication: Supports secure access control using authentication tokens.
   • Scalability & Security: Designed to handle multiple users while preventing unauthorized access.
   • Github source code
3. User Performance Score Tracker (SQL)
   • Automated Computation: Executes calculations within the database to streamline data processing.
   • Efficient Data Management: Retrieves and updates records dynamically to maintain consistency.
   • Optimized Query Execution: Leverages SQL aggregation and indexing for improved performance.
   • Scalability: Designed to handle multiple records efficiently without manual intervention.
   • Github source code
4. Cache Handling (Redis)
   • In-Memory Data Caching: Stores frequently accessed data in Redis for faster retrieval.
   • Input-Output History Logging: Records function inputs and outputs for debugging and analytics.
   • Flexible Data Storage: Supports multiple data types and retrieval with automatic type conversion.
   • Scalability: Designed to handle high volumes of requests efficiently.
   • Github source code
5. File Manager (API development)
   • File Operations API: Supports essential file management operations such as listing, creating, copying, moving, and deleting files.
   • Directory Management: Allows users to interact with files within specific directories.
   • File Permission Handling: Enables users to modify file permissions for better access control.
   • Error Handling: Implements robust error handling to manage potential issues with file operations.
   • Scalability: Designed to handle multiple file management requests efficiently.
   • Github source code

Achievements & Impact

• Developed Scalable & High-Performance Systems: Built and optimized full-stack applications capable of handling high traffic, ensuring seamless user experiences across various platforms.
• Enhanced Security & Access Control: Implemented robust authentication, role-based access, password hashing, and token-based security to protect user data and prevent unauthorized access.
• Optimized Data Management & Processing: Leveraged SQL, NoSQL (MongoDB), and Redis caching to enhance efficiency, automate computations, and improve query execution speeds.
• Enabled Seamless Digital Transactions: Integrated secure payment gateways and streamlined e-commerce functionalities, ensuring reliable and secure online transactions.
• Improved System Reliability & Performance: Utilized caching mechanisms, API optimization, and database indexing to boost application speed, scalability, and responsiveness.

• Empowered Data-Driven Decision Making: Designed tracking and analytics solutions for monitoring user performance, transaction history, and application interactions.

Future Goals & Learning

I aim to enhance my knowledge in database scalability and optimization, with a focus on advanced database management, API versioning, and leveraging cloud technologies such as GCP, AWS and Azure for distributed databases and cloud-native architecture to improve system performance, reliability, and scalability.