Navya P

Designed and built distributed microservices using FastAPI and Flask, enabling scalable, fault-tolerant backend systems across multiple internal platforms. Built high-performance data pipelines with Kafka, supporting large-scale streaming ingestion, event processing, and inter-service communication. Implemented Cassandra and PostgreSQL data models with optimized indexing, partitioning, and schema design for high-volume and time-series workloads. Implemented lazy loading, server-side rendering (SSR), and code splitting to reduce initial load time; developed complex, dynamic workflows with Reactive Forms, custom validators, and flexible form structures. Developed serverless components using AWS Lambda and automated background jobs, reducing infrastructure load and operational overhead. Built cloud-native deployments using Docker and Kubernetes with rolling updates and autoscaling. Provisioned cloud resources and network configurations using Terraform, enforcing IaC standards. Enhanced sy

Developed full-stack application modules using Django, Flask, and modern UI frameworks like Angular and React, improving usability and responsiveness of internal and customer-facing tools. Built reusable UI components, form modules, services, and routing structures using TypeScript and Angular. Created backend services for data processing, reporting, form automation, and file-handling workflows using Python, Pandas, and ORM models. Implemented asynchronous workloads with RabbitMQ and Redis, supporting scheduled tasks and background operations. Built REST APIs with Django REST Framework, enabling multi-tenant, role-based access and modular backend integrations. Improved database performance across PostgreSQL, MySQL, and MongoDB through query optimization, indexing, and caching. Deployed containerized services using Docker and GCP Cloud Run. Set up CI/CD pipelines using GitHub Actions and Jenkins, automating testing, static analysis, environment promotion, and container publishing. Integ

Developed and maintained enterprise applications using Python, SQL, and frontend technologies in an Agile environment, collaborating with cross-functional teams for timely delivery. Developed scalable Python applications for data processing, data parsing, automation, and system integration. Built and maintained RESTful APIs using Flask/Django, enabling smooth data exchange across services. Gained exposure to CI/CD workflows, Git-based version control, and cloud deployment practices. Automated environment setup and monitoring tasks using shell scripts. Wrote and executed unit/integration tests (PyTest) to ensure code quality and maintainability.