Sravya Meghana Mitta

Engineered scalable Django REST APIs integrated with Vue.js to resolve backend–frontend data flow inefficiencies, improving application responsiveness by 30%. Optimized MySQL schema design to address unreliable data management, enhancing consistency and query performance. Automated deployment pipelines using GitHub Actions and Azure DevOps to eliminate manual release delays, reducing deployment cycles by 40%. Modularized UI components into a reusable design system to fix interface inconsistency issues, cutting setup time by 90% and improving maintainability. Standardized Git workflows to resolve collaboration inefficiencies, improving code quality and accelerating developer onboarding

Developed and deployed containerized Python-based APIs using Cloud Run, Docker, and Terraform; integrated GCP services including BigQuery, Cloud Spanner, Tasks, and Scheduler for cloud-native app workflows. Built and maintained reusable Terraform modules for services like Compute Engine and Cloud Storage, supporting multi-team infrastructure needs and managing VM lifecycle and customer support. Automated CI/CD workflows using Tekton Pipelines, incorporating PR-based deployments, Terraform validation, and Vault for secure secret management. Led the creation of a central VM shutdown system to reduce cloud costs across non-prod workloads, with flexible user opt-out and restart features. Managed full API lifecycle with Apigee, including OpenAPI documentation, conformance scans (42Crunch), authentication, and traffic policies. Created lightweight, versioned Docker images and managed deployments via GCP Artifact Registry. Built an intelligent Dialogflow chatbot integrated with GitHub and Webex for automated support, documentation lookup. Ensured high code quality with unit testing (Pytest), enforced 90 %+ coverage, and automated SonarQube scans on every PR.