Architected and built scalable multi-tenant apps with Google Cloud Platform, Node.js, Next.js, Vercel, Puppeteer, GraphQL, PostgreSQL, hybrid databases, microservices, CI/CD pipelines, React.js UIs, Docker/Kubernetes, and robust ETL pipelines.

June 2023 - December 2023

Architected and built a scalable multi-tenant web application from the ground up, utilizing AWS CDK to provision cloud infrastructure and manage multi-region deployments, ensuring high availability and fault tolerance.

Designed and implemented a hybrid database architecture that integrated both NoSQL (MongoDB) for unstructured data and SQL databases for structured, transactional data, optimizing data retrieval and scalability.

Developed RESTful APIs and microservices using Node.js and Go, employing a microservices architecture that decoupled business logic into distinct, reusable components, ensuring high-performance and fault-tolerant backend operations.

Built API components with comprehensive error handling, rate limiting, and caching mechanisms, optimizing system performance and providing seamless communication between the frontend and backend.

Led the development of ETL pipelines to load, transform, and integrate data from diverse sources (APIs, CSV files, third-party data providers) into MongoDB and SQL databases, using Node.js and custom data transformation scripts to ensure data consistency and reliability.

Created automated data migration scripts for transforming and consolidating external data entities into custom formats, implementing data validation processes to ensure accuracy and compliance with business rules.

Designed the frontend architecture using React.js and Next.js, developing responsive, performant UI components that integrated seamlessly with the backend via REST APIs, ensuring a smooth user experience.

Utilized Docker and Kubernetes to containerize applications, orchestrating microservices deployments across cloud environments, enabling seamless horizontal scaling and resource optimization.

Implemented CI/CD pipelines using GitHub Actions and AWS Lambda, automating testing, building, and deployment processes, significantly reducing manual intervention and increasing delivery speed.

Collaborated with cross-functional teams to refine the DevOps pipeline, optimizing infrastructure-as-code practices, monitoring, and logging for real-time system insights and faster incident response.