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PHONE NUMBER AVAILABLE || EMAIL AVAILABLEProfessional Summary: Over 5+ years in the IT industry, I have participated in different tasks from patch management to development and deployment of code (from end-to-end), script automation across Multiple stages.
Experiences in Setting up and managing Amazon Web Services (AWS) Cloud infrastructure using services like ELB, Auto-scaling, EC2, S3 EBS, EFS, IAM, VPC, RDS, DynamoDB, CloudTrail, CloudWatch, Elastic Beanstalk, Lambda, SNS, CloudFormation, ECS, SQS, SNS, Storage Gateway.
Proficient in Azure services like Microsoft Virtual Machines, Azure Storage, Azure Active Directory, Azure Kubernetes Service (AKS).
Experienced in deploying and managing .NET applications smoother with Azure DevOps by setting up CI/CD pipelines. This automation kept everything running reliably from development through to production.
Utilized Azure Resource Manager (ARM) templates to automate setting up and managing Azure resources, which made the whole process more efficient.
Skilled in configuring routing profiles and contact flows and integrating lambda functions to create smooth cloud contact centers on Microsoft Azure.
Experienced with Google Cloud Platform (GCP), handling everything from Google Compute Engine to Cloud Storage and Kubernetes Engine for effective application deployment and management.
Created and used Infrastructure as Code (IaC) solutions with Terraform to automate the setup and management of cloud resources across AWS, Azure, and Google Cloud.
Developed some custom Terraform modules, which made it fairly easy to set up infrastructure and with pretty good consistency across all projects. Modules were designed for reusability and less trouble for administration.
Led the organization and tuned Maven projects, ensuring they were well-structured and worked smoothly without glitches.
Built and automated CI/CD pipelines with GitLab, GitHub Actions, making it quicker and more seamless in order save time in building and deploying projects.
Dealt with Jenkins installation, configuration, and overseeing the Jenkins instances for smooth delivery and performance.
Dockerized different applications using Docker, meaning that applications would run seamlessly across development, testing, and production.
Managed Kubernetes clusters, ensuring that containerized applications ran reliably, scaled up when needed, and always stayed ready for that purpose.
Familiar with Automation tools like Ansible, Chef for Configuration Management for system operations across multiple projects.
Experience in using monitoring tools like Dynatrace, New Relic, Datadog, Splunk, ELK, and Nagios, regarding performance and system indicators.
Proficient at handling and maintaining databases such as MySQL, PostgreSQL, Oracle, and MS SQL Server, with a long history of experience and major emphasis on security and optimization.
Generated various scripts using Python, Bash, Shell Scripting, Perl, JavaScript, and Groovy to automate tasks and to solve practical problems.
Vast experience in system and Linux administration, fine-tuning for maximum performance.
Proficient in using Jira and Confluence to manage projects and share knowledge seamlessly across teams. Actively participated in Agile practices like sprint planning, daily stand-ups, and retrospectives to ensure projects stayed on course.Education:University of Bridgeport (MS in Computer Science, GPA: 3.6/4.0) May 2023
Course Work: Cloud Computing (AWS), Python for Data Science, Intro to Robotics (MAT Lab), Windows Programming.JNTU Kakinada (BS in Mechanical Engineering, 66%) May 2017Course Work: C-Programming, Interactive Computer Graphics, Robotics, CAD CAM, Finite Element Methods.Technical Skills:Cloud Services: Amazon Web Services (AWS), Microsoft Azure, GCP.Build Tools: Maven, Gradle.Configuration Management Tools: Ansible, Chef, Puppet.Version Control Tools: Git, GitHub, SVN, BitBucket.Cloud Formation Tools: Terraform, AWS Cloud Formation, ARM templates.CI/CD Tools: Jenkins, GitLab, Bamboo, CircleCI.Container Tools: Docker, Kubernetes, OpenShift, EKS.Monitoring & Alerting Tools: Splunk, Nagios, Datadog, New Relic, Dynatrace.Scripting & Programming Languages: Python, Bash, Shell, Perl, JavaScript, Groovy, Ruby.Application and Webservers: Nginx, Tomcat, WebLogic.Database Systems: Mongo DB, MySQL, PostgreSQL, Oracle, and Microsoft SQL.Certifications:
AZ -104 (System Administrator).Other Activities: Represented University of Bridgeport at the ASEE Zone1 Conference hosted by Penn State University in Pennsylvania. Presented a poster at UB RISE 2023, hosted at the University of Bridgeport, Bridgeport. Took a part in CT Manufacturing Day 2022 at Housatonic Community College in Bridgeport, CT. Served as a Teaching Assistant for 3 consecutive semesters, aiding students and collaborating with professors in grading assignments and addressing student queries.Work Experience:Role: DevOps Engineer/AWS Engineer August 2023 Present
Ryder Systems Inc (Miami, FL)Responsibilities: Hands-on experience in the migration of on-premises applications to AWS Virtual Private Cloud (VPC), architecting Well-Architected Applications utilizing key AWS services including Autoscaling, Lambda, SQS, SNS, ELB, caching mechanisms, and foundational database layers.
Architected and deployed advanced AWS networking solutions using Amazon Route53 for domain registration, DNS routing, and health checks. Developed different scripts using python libraries like Boto3 library to automate the tasks with in AWS services and manage cloud infrastructure.gi Implemented various routing strategies like weighted, latency-based, and geolocation to boost application speed and reliability for various projects.
Developed Custom Terraform modules to set up VPCs, API gateways, subnets, EC2 instances, Lambda functions, ELBs, and security groups, ensuring the setup according to the required specifications.
Utilized Maven repositories (central, local, and remote) to handle project dependencies effectively, which helped in achieving smooth builds and cutting down development delays.
Managed successful transitions of Git repositories from centralized version control systems across different Git platforms.
Designed and fine-tuned CI/CD pipelines in Jenkins and GitLab to automate the build, test, and deployment processes for various applications and environments.
Took care of Docker containers throughout their lifecycle, from creating images to deploying, scaling, and orchestration.
Build and managed Kubernetes Deployments to keep track of application states, making it easy to update and roll back as needed.
Developed and maintained various Helm charts to package, version, and deploy Kubernetes applications smoothly.
Developed Ansible playbooks to automate various tasks like deployment, configuration, and maintenance across different infrastructure setups.
Designed and implemented custom REST APIs to automate interactions with storage services, simplifying processes for engineers and reducing time spent on manual tasks. Created custom dashboards and visualizations in Splunk for real-time monitoring and reporting, helping stakeholders and teams stay informed.
Used Agile practices like Scrum in Jira, setting up boards, backlogs, and sprints to improve project management and delivery.
Integrated Nexus with CI/CD pipelines, automating artifact deployment and retrieval, ensuring consistent and reliable software deliveries Managed databases on AWS, including Amazon RDS, using cloud services to ensure they scale easily and are simple to maintain.
Environment: Amazon Web Services, EC2, Lambda, AWS VPC, S3, SNS, SQS, ELB, Route53, DNS, EBS, RDS, Maven, Jenkins, Git, GitLab, Docker, Kubernetes, Terraform, Ansible, REST API, Python, Shell, Splunk, Nexus, Scrum, Jira.
Role: DevOps Engineer November 2020 October 2021LanceSoft (Hyderabad, India)Responsibilities:
Hands on experience in expertise in Azure services, including Compute (Web Roles, Worker Roles), Caching, Azure SQL, NoSQL, Storage, and Network services, as well as Active Directory (AD), API Management, Scheduling, Azure Auto Scaling, and PowerShell Automation.
Experienced in Microsoft Azure implementing various cloud-related tasks, including cloud architecture development, adoption strategy planning, and maintaining Azure cloud-native IT systems.
Well versed with Azure cloud technologies such as VMs and Azure Functions provide streamlined development and deployment.
Advanced ETL pipelines and data transformation techniques were developed to move and transform vast, complex datasets between GCP Big Query and Azure Data Lake Storage, resulting in more efficient data querying and analytics.
Developed and managed Terraform templates for Azure IaaS virtual machines, including virtual machine scale sets in production environments.
Utilized Terraform to automate the deployment and management of infrastructure resources on Azure, VMware, and Docker containers.
Azure Kubernetes clusters used including node scaling, upgrading, and monitoring, to ensure the optimal performance of containerized workloads.
Integrated Docker into CI/CD pipelines to automate the building, testing, and deployment of Docker images, facilitating continuous integration and continuous deployment practices.
Automated the configuration of Azure infrastructure using Ansible, Azure monitoring tools, and real-time data.
Developed and maintained shell scripts to automate the provisioning, configuration, and management of Azure resources.
Designed and deployed the best SCM processes and procedures with GitLab and Git, including conflict analysis and resolution for ClearCase.
Integrated Splunk with Azure to collect and visualize metrics, logs, and traces, providing real-time insights into the health and performance of Azure resources.
Environment: Microsoft Azure, Active Directory, API, ETL, SQK, NoSQL, AKS, Terraform, Kubernetes, Ansible, Chef, Shell Scripting, Maven, Git, Splunk.
Role: Jr. DevOps Engineer February 2018 October 2020Veritis Group (Hyderabad, India)Responsibilities:
Led the technical strategy for integrating requirements, design, and technology as an AWS Cloud/DevOps Engineer, guiding the overall approach and planning.
Utilized AWS Route53 for managing global DNS zones, handling record sets, DNS failover, health checks, and linking domain names to ELB and CloudFront.
Used various AWS services like EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto Scaling groups to create efficient solutions, while managing access with IAM users and groups.
Simplified AWS deployments by setting up IAM roles, connecting Jenkins to AWS with the code pipeline plugin, and using EC2 instances to provision virtual servers.
Set up Jenkins on Linux to handle Java application builds and Docker image publishing.
Developed a zero-downtime deployment process for WebLogic with Python and shell scripts, and smoothly integrated it into Jenkins' automated workflow.
Wrote Python scripts to merge and load data into MySQL databases.Environment: AWS EC2, S3, RDS, EBS, ELB, CloudFront, IAM, Docker, Jenkins, Python, Shell Scripting, MySQL. |
