Designed and developed a robust and scalable RESTful API to empower an e-commerce platform, facilitating seamless browsing and purchasing experiences for customers.
Managed high production traffic for the client, achieving an average response time of under 5ms and maintaining a 0% error rate, ensuring an exceptional user experience and satisfaction.
Engineered efficient ETL processes, designed optimal data architecture, optimized queries, and implemented caching and load balancing strategies to minimize expenses associated with scaling, leading to significant cost savings for the client.
Implemented Redis as an in-memory cache, enabling fast and efficient data retrieval, leveraging a cache-aside pattern to ensure data consistency, and implementing a Least Frequently Used eviction policy for optimal memory utilization.
Automated ETL of over 40GB of data, containing millions of data points, into MongoDB using a bash script written in JavaScript, streamlining the data ingestion process and enabling efficient data retrieval for the platform.
Implemented Redis as a cache, utilizing the in-memory storage for fast and efficient data retrieval, a cache-aside pattern to ensure data consistency, and a Least Frequently Used eviction policy.
Deployed an Nginx load balancer utilizing a round-robin algorithm to distribute requests, enhancing the platform's scalability and reliability.
Designed and developed a user-friendly React front-end, seamlessly integrating with a legacy API and data format, while ensuring optimal UI/UX experience for users.
Successfully deployed a production build with a 100% Performance rating and Time to Interactive less than 1 second, eliminating render-blocking resources and cumulative layout shift, resulting in increased client-side performance and user retention.
Hosted the front-end and back-end on AWS EC2 to capitalize on the platform's advanced security protocols, highly scalable features, and dependable infrastructure. This approach guarantees seamless performance and maximum protection against potential cyber attacks.
