Deepika Jujjavarapu
Cloud Devops Engineer @Wawanesa Insurance
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WORK HISTORY
Cloud Devops Engineer @Wawanesa Insurance
ON, CA
Led the automation of CI/CD pipelines & infrastructure provisioning using Jenkins, Docker, Terraform, and Infrastructure as Code (IaC), reducing deployment cycles by 40% and ensuring compliance with security standards• Assisted in setting up and automating web application deployments using tools like Terraform, AWS Code Pipeline, Code Build, code Deploy, and Docker to ensure smooth integration and efficient processes• Learned to manage and optimize basic Kubernetes clusters using Helm on AWS EKS and Linux systems, enhancing the security and performance of web applications• Supported the provisioning and configuration of AWS resources like EC2, S3, VPC, EBS, RDS, DynamoDB, & Lambda to build reliable web infrastructure, using guidance from CloudFormation templates and IAM policies• Helped improve cloud infrastructure on AWS and Azure by deploying simple, scalable solutions using Kubernetes and Docker, and practiced implementing RBAC for better security• Developed and maintained Python, Bash, and Groovy scripts to automate infrastructure provisioning, configuration management, and deployment processes in AWS, significantly reducing manual intervention• Led the migration of on-premises applications and data to AWS, utilizing services like AWS Migration Hub and Server Migration Service, minimizing downtime and ensuring a seamless transition for business operations• Assisted in setting up monitoring and logging tools like CloudWatch, CloudTrail, Prometheus, and Grafana to keep track of web application performance and system health• Contributed to cloud migration projects by designing scalable architectures, optimizing AWS costs, minimizing downtime, and enhancing security with IAM roles and Security Groups, adhering to AWS best practices• Assisted with executing manual and automated testing strategies, integrating databases like SQL Server, MongoDB, and MySQL, and optimizing web services to improve system performance and reliability
EDUCATION
Shri Vishnu Engineering College for Women, Vishnupur, Kovvada Village, Bhimavaram, PIN-534202(CC-B0)
Bachelor of Technology (BTech), Computer Software Engineering
St. Clair College
Postgraduate Degree, Computer Systems Networking and Telecommunications
ABOUT DEEPIKA JUJJAVARAPU
Cloud DevOps Engineer with 3+ years of experience in automating CI/CD pipelines, managing Kubernetes and Docker, optimizing AWS with Terraform, and improving system reliability with strategic cloud solutions and proactive monitoring• Experienced in optimizing Continuous Integration and Continuous Deployment pipelines with Jenkins Code Pipeline, cutting deployment times by 40% and enhancing code quality through automated testing and streamlined validation• Specialized in using Terraform and AWS CloudFormation for automating scalable, secure, and consistent cloud infrastructure deployments, integrating Git and GitHub Actions to streamline version control and CI/CD processes• Skilled in microservices deployments using Docker and expertly managed Kubernetes clusters with Helm on AWS EKS, facilitating seamless scaling and maximizing the availability of critical enterprise applications• Expertise in monitoring with Prometheus, CloudWatch, and Grafana, reducing mean time to detection (MTTD) by 50% and ensuring system performance through real-time metrics and insightful dashboards• Expert in a wide range of AWS solutions, including EC2, ELB, EBS, VPC, S3, IAM, SNS, SQS, Auto-scaling, Storage Gateway, ECR, EKS, CloudFormation, and CloudWatch• Adept in routine and complex tasks with Python, Bash, Groovy, and JavaScript, increasing operational efficiency by 35% and reducing human error across critical workflows, configuration, and monitoring• Hands-on in constructing (CI/CD) pipelines using AWS suite (Code Commit, Code Deploy, Code Build, Code Pipeline), Git, Maven, and SonarQube, to enhance software deployment efficiency and quality assurance• Proficient in designing security frameworks using IAM policies, AWS KMS, Git, GitLab, GitHub, and secure network configurations to protect sensitive data and ensure regulatory compliance• Good at optimizing AWS load balancing solutions using ELB & implemented Auto Scaling Groups to efficiently manage traffic spikes, while troubleshooting network issues to ensure uninterrupted service delivery• Handson in SQL, PostgreSQL, MongoDB, and DynamoDB databases on AWS, applying scaling strategies, performance tuning, and implementing network security best practices to guarantee data integrity and system efficiency• Basic Knowledge of Azure resources, including Virtual Machines, Azure Active Directory, and App Services, to support scalable and secure cloud solutions for business-critical applications
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