Vivek Reddy Chennu

Jersey City, New Jersey || +1 5513285702 || chennuvivekreddy@gmail.com || http://www.linkedin.com/in/vivekreddychennu

Professional Summary

Cloud Engineer with hands-on experience building and automating AWS infrastructure using Terraform, CloudFormation, and CI/CD pipelines. Skilled in deploying scalable applications, implementing security best practices, and optimizing costs. Strong foundation in DevOps, monitoring, and cloud migrations, with proven success in delivering reliable and cost-effective cloud solutions.

Skills :

• Cloud Platform & Services:

  • AWS : EC2, S3, RDS, IAM, Lambda, Cognito, SES, SQS, Lightsail, CloudFormation
  • Azure : App Service, Functions, AD B2C, Application Gateway, Azure DevOps
  • GCP : Compute Engine, Cloud Storage
• Infrastructure as Code & Automation : Terraform, AWS CloudFormation, Ansible, Packer
• DevOps & CI/CD : Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines, AWS CodePipeline
• Containerization & Orchestration : Docker, Kubernetes (EKS, AKS, GKE), Helm
• Programming & Scripting: Java, Python, Bash, PowerShell, YAML, JSON
• Databases : MongoDB, MySQL, PostgreSQL
• Monitoring & Logging : AWS CloudWatch, Prometheus, Grafana, ELK Stack, Azure Monitor
• Security & Compliance: IAM, AWS Secrets Manager, Disaster Recovery strategies, Infrastructure Monitoring, Cost Optimization
• Version Control : Git, GitHub, GitLab, Bitbucket

Professional Experience:

• Deployed and managed Amdocs telecom systems on a hybrid cloud infrastructure using AWS for scalable compute and Azure for high-volume data integration and analytics.
• Reduced provisioning errors by ~35% by automating AWS infrastructure with Terraform, improving deployment consistency across environments.
• Built Azure Data Factory pipelines to process Amdocs billing data into Synapse Analytics, enabling real-time dashboards and executive reporting.
• Developed and deployed containerized microservices to AWS ECS and Azure App Services, integrating Amdocs APIs with cloudnative applications to improve telecom service delivery.
• Designed and deployed secure network architectures using Amazon VPC, subnets, NAT gateways, and security groups to isolate and protect cloud workloads.
• Implemented disaster recovery strategies by configuring cross-region backups, S3 replication, and multi-AZ RDS failover to ensure business continuity.
• Optimized infrastructure costs by leveraging EC2 reserved and spot instances, implementing S3 lifecycle policies, and rightsizing RDS instances.
• Enhanced infrastructure monitoring and security by configuring AWS CloudWatch dashboards, alarms, and log insights, integrating CloudTrail and Azure Monitor for observability and compliance.
• Collaborated with cross-functional teams to modernize legacy telecom reporting systems by migrating workloads to the cloud, improving performance, reducing costs, and enabling advanced analytics.

• Deployed and managed scalable, high-availability websites on AWS using Lightsail, EC2, and S3, ensuring secure and costeffective hosting environments.
• Integrated user authentication using AWS Cognito, streamlining user access and enhancing security across web applications.
• Optimized email communications and messaging workflows by implementing SES for reliable email delivery and SQS for asynchronous message processing, improving system performance and scalability.
• Automated backend processes using AWS Lambda, leveraging serverless computing to reduce operational overhead and improve application efficiency.
• Lowered hosting costs by ~20% by assisting in migrating legacy web applications to AWS Lightsail and EC2.
• Managed relational databases with AWS RDS and supported disaster recovery setup using automated backups and snapshots.
• Streamlined service configurations by utilizing JSON and YAML templates for Infrastructure as Code (IaC), ensuring smooth integration and data handling across cloud services.
• Collaborated with cross-functional teams to implement solutions that improved system reliability and reduced operational costs by leveraging AWS best practices.

Internship :

• Designed and developed the entire full-stack web application using MongoDB, Express, React, and Node.js, providing an online platform for farmers to sell products and for users to place orders.
• Developed RESTful APIs for product listings, cart management, and order processing, with error handling and data validation.
• Built the frontend interface using React, ensuring mobile responsiveness and smooth user navigation through dynamic product views and checkout flows.
• Deployed the application to AWS EC2 with a MongoDB Atlas cloud database, configuring security groups, SSH access, and environment variables for production readiness.
• Gained hands-on experience with cloud infrastructure, hosting, and deployment pipelines, while documenting all code, workflows, and APIs in a public GitHub repository with clear version history.

Projects and Volunteer Work :

• Contributed to the development of two web applications designed to support homeless individuals in the U.S., using React.js for the frontend and Firebase for backend services.
• Integrated Firebase Authentication to provide secure user login and registration.
• Managed real-time data storage and retrieval with Firebase Firestore, ensuring smooth and responsive user interactions.
• Used Firebase Cloud Functions to automate backend tasks, reducing manual effort and improving system efficiency.
• Designed responsive and accessible UI components, ensuring a seamless experience across different devices.
• Worked closely with designers and backend developers to ensure a cohesive and functional user experience.
• Followed best practices in performance optimization, state management, and code reusability to improve maintainability.
• Communicated technical designs and deployment strategies with stakeholders, ensuring transparency, understanding, and alignment across teams.
• Adapted quickly to changing requirements in fast-paced environments while maintaining focus on automation, security, and cost-efficiency.

• Designed and implemented scalable and cost-effective cloud infrastructure on AWS using Terraform to automate provisioning and management processes.
• Developed reusable Terraform modules for EC2, S3, RDS, VPCs, and IAM roles, and ensured high availability using autoscaling groups, load balancers, and multi-AZ architectures.
• Optimized infrastructure costs by managing reserved/spot instances and automating resource provisioning with Terraform.
• Applied security best practices by implementing IAM policies, security groups, and remote state management with S3 and DynamoDB for secure Terraform state storage and locking.
• Integrated CloudWatch and CloudTrail for real-time monitoring, logging, and auditing.
• Automated infrastructure changes via a CI/CD pipeline and created detailed documentation, reducing provisioning time by 80% while improving system reliability and security posture.

• Developed and deployed a Mental Health and Wellness website that provided personalized content based on user quiz responses, hosted on AWS Lightsail for a cost-effective and scalable environment.
• Implemented AWS CloudFormation to automate infrastructure provisioning, reducing manual setup and ensuring consistent environments.
• Contributed to a CI/CD pipeline, automating testing and deployments for quicker and more reliable updates.
• Configured infrastructure monitoring with AWS CloudWatch to proactively resolve performance issues and maintain smooth user experience.
• Utilized AWS S3 for storing static assets and application content, ensuring scalability and high availability
• Integrated AWS Cognito for secure user authentication, enabling personalized experiences with strong data protection.Integrated AWS Cognito for secure user authentication, enabling personalized experiences with strong data protection.

Certifications :

• Certified Developer Associate – AWS (April 2024 to April 2027)
• AWS Solutions Architect Associate – In Progress (Expected 2025)

Education :

• Master’s of Science in Computer Science, Sacred Heart University, Fairfield, Connecticut Dec 2023
• Bachelors of Technology in Computer Science, MLR Institute of Technology, Hyderabad, India June 2021