Dinesh Konakanchi

• Designed and developed scalable microservices and RESTful APIs using Python, implementing modular architecture and reusable components for enterprise applications.
• Developed and deployed containerized applications using Docker and orchestrated deployments in Kubernetes environments to support high availability and scalability.
• Implemented end-to-end CI/CD pipelines using Jenkins and GitHub Actions to automate code integration, build validation, testing, and deployments across cloud environments.
• Worked extensively with Amazon Web Services services including EC2, S3, IAM, Lambda, CloudWatch, and EKS for application deployment, monitoring, and cloud infrastructure management.
• Developed automation scripts and backend services in Python for data processing, API integrations, log analysis, configuration management, and system monitoring.
• Collaborated with cross-functional Agile teams to design, develop, troubleshoot, and optimize cloud-native applications, ensuring performance, security, and maintainability standards were met.

• Developed and optimized cloud-native applications using Python, Kubernetes, and Docker with focus on scalability, resiliency, and high-performance distributed systems architecture.
• Built Infrastructure as Code (IaC) solutions using Terraform and AWS services to automate provisioning, configuration management, and environment setup across development and production systems.
• Implemented secure authentication and authorization mechanisms using OAuth2, JWT, IAM policies, and role-based access control (RBAC) for enterprise-grade applications and APIs.
• Integrated Kafka, RabbitMQ, and event-driven messaging architectures to enable asynchronous communication between microservices and improve system throughput.
• Configured centralized logging, monitoring, and observability solutions using ELK Stack, Prometheus, Grafana, and CloudWatch for proactive issue detection and performance analysis.
• Designed and consumed RESTful APIs and GraphQL services with Swagger/OpenAPI specifications, implementing API versioning, rate limiting, caching, and error-handling strategies.
• Optimized application deployment workflows using Blue-Green and Canary deployment strategies within Kubernetes and CI/CD pipelines to minimize downtime during releases.
• Worked with Git branching strategies, code reviews, SonarQube quality gates, and static code analysis tools to maintain secure, maintainable, and high-quality codebases

• Assisted in developing and deploying Python-based applications and REST APIs in AWS cloud environments using EC2, S3, and Lambda services.

• Worked on containerizing applications using Docker and supported deployment activities in Kubernetes clusters for development and testing environments.

• Supported CI/CD implementation using Jenkins and GitHub Actions for automated builds, testing, and application deployments.

• Developed reusable Python scripts for automation, data processing, API validation, log monitoring, and environment configuration tasks.

• Collaborated with development and DevOps teams to troubleshoot deployment issues, monitor application health, and maintain cloud infrastructure.

• Participated in Agile ceremonies, code reviews, Git version control activities, and defect resolution to ensure timely and high-quality software delivery.