Vas Ag Software (Remote) January 2024 - July 2024

Architected scalable serverless solutions with AWS Lambda, optimized databases (MongoDB, PostgreSQL), developed TypeScript microservices, and implemented CI/CD pipelines with robust testing using Jest, Cypress, and Supertest to enhance system reliability and performance.

Architected and optimized AWS Lambda functions to enhance system performance, reducing cold start times and optimizing memory usage for cost efficiency.

Integrated AWS CloudWatch for real-time monitoring, setting up custom metrics and alarms to track key performance indicators (KPIs), proactively detecting issues and reducing system downtime.

Modernized legacy code in C# and .NET Core, migrating critical business logic to a serverless architecture using AWS Lambda, creating a more scalable and efficient solution for VAS’s core services.

Developed a Node.js microservice for handling file uploads (including .xlsx and .csv), integrated with AWS S3 for secure, scalable file storage and optimized data transformation processes for downstream consumption.

Leveraged AWS DynamoDB for key-value data storage, designing efficient data models that support high-throughput applications, improving system performance and scalability.

Updated and extended API endpoints, integrating with MongoDB and PostgreSQL for streamlined data retrieval and enhanced reporting by returning additional database fields.

Debugged and resolved critical issues across various microservices, using AWS CloudWatch Logs and AWS X-Ray for in-depth analysis of system behavior, improving service reliability.

Optimized database queries and indexing for MongoDB and PostgreSQL, significantly improving read/write operations and reducing query latency, enhancing the overall user experience.

Built and deployed modernized services using React.js, Next.js, Docker, and GitHub Actions, ensuring robust unit and integration tests with Jest to maintain code quality and service stability.

Collaborated with DevOps teams to refine the CI/CD pipeline, automating builds and tests for all microservices, ensuring seamless and efficient deployments across AWS environments.

Expertly developed and maintained microservices using TypeScript, leveraging its static typing and robust tooling to ensure code reliability, scalability, and maintainability.

Led the unit testing efforts using Jest and Supertest, building comprehensive test suites that simulate complex interactions and validate business-critical functionality.

Created advanced integration tests with Cypress, focusing on end-to-end testing for front-end applications, ensuring seamless communication between React.js components and backend APIs.

Architected TypeScript-based services with focus on reusability and maintainability, employing modern patterns such as Dependency Injection (DI) and SOLID principles to improve modularity and scalability.

Implemented rigorous test-driven development (TDD) practices with Jest and Supertest, drastically reducing bugs in production and improving system stability.

Enhanced Cypress automation by developing custom commands and reusable test components, making the end-to-end test suites more efficient and easier to maintain.

Integrated continuous testing pipelines into the CI/CD workflow, ensuring that every code commit triggered a full suite of unit, integration, and end-to-end tests via GitHub Actions, speeding up development cycles and improving code quality.

Utilized TypeScript's strict typing system to catch potential issues at compile time, reducing runtime errors and ensuring robust API contracts between services, leading to a reduction in production defects.

Debugged complex issues using TypeScript, taking full advantage of IDE support for auto-completion, type inference, and real-time error detection, accelerating development and debugging cycles.

Collaborated with QA teams to establish testing strategies using Jest, Supertest, and Cypress, improving overall test coverage and ensuring that both functional and non-functional requirements were rigorously validated.