PROFESSIONAL SUMMARY:

• 8+ years of experience as Systems Engineer, DevOps Engineer, Cloud Engineer in the areas of Software Configuration Management(SCM), Build/Release Management, CI & CD (Continuous Integration/Continuous Delivery) and deployment.
• Experience automating large scale deployments with modern configuration and deployment management systems (Ansible, Puppet, Chef, Docker)
• Extensive working experience with broad range of AWS Cloud Services like EC2, ELB, Auto Scaling, VPC, Route53, RDS, S3, IAM, SNS, SQS, Dynamo DB, Elastic search and Cloud Watch and have in - depth practical knowledge on other cloud services like Microsoft Azure and OpenStack.
• Managed Clusters with various Servers in Azure Cloud Resource Groups and monitored via remotely run scripts Ambari, Azure Data Factory and Blobs
• Involved in configuring Elastic Load Balancers with Auto scaling to handle high traffic loads
• Experience Setting up databases in AWS using RDS, storage using S3 bucket and configuring instance backups to S3 bucket.
• Used Cloud watch logs to move application logs to S3 and create alarms based on a few exceptions raised by applications. Managed network security using Load balancer, Auto scaling, Security groups and NACLs.
• Used CloudFront to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers. Supported current migration of Data Center to Amazon Cloud.
• Handled installation, administration and configuration of ELK stack on AWS and performed Log Analysis
• Experience in branching, tagging, releasing and maintaining the versions across the environments using version control systems like GIT, GITHUB, Subversion (SVN) and Bazaar on Linux and windows platforms
• Wrote chef cookbooks using the several of its components like attributes, files, recipes, resources and templates
• Implemented Chef Recipes for Deployment on build on internal Data Centre Servers, also re-used and modified same Chef Recipes to create a Deployment directly into Amazon EC2 instances
• Created master and slave configurations to implement multiple parallel builds by installing Jenkins. Monitored software, hardware, and/or middleware updates and utilizing technologies like Jenkins/Hudson, Ant, Maven Build, GIT
• Experience in integrating Udeploy with Jenkins and used it as orchestration tool for deployments across various environments
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python. Run Ansible Scripts to Provide Dev Servers
• Expertise in using build tools like MAVEN and ANT for the building of deployable artifacts such as war & ear from source code
• Installed and configured an automated tool puppet that include the installation and configuration of the puppet master, agent nodes and an admin control workstation
• Experience in implementing the Docker for wrapping up the final code and setting up development and testing environment using Docker Hub, Docker Swarm and Docker Container Network
• Worked with Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts and managed containerized applications using its nodes, config maps, selectors, and services.
• Good working experience on several prototype projects involving clustered container orchestration and management. Contributed a MySQL cluster application to the Kubernetes project.
• Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform and involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services.
• Experience in installing and configuring Linux/Unix/Windows-based web/App servers like Tomcat, JBOSS, WebLogic and WebSphere for Application deployments
• Firm grasp on Cloud Security, leveraging Linux and Windows operating systems, using the AWS console and CLI (command line interface)
• Expertise in monitoring applications with AppDynamics. Monitored Business transactions and retrieved transaction snapshots for the business applications
• Monitored the servers & applications using Nagios, Cacti and Splunk
• Managed all the bugs and changes into a production environment using the Jira tracking tool
• Integrated JIRA with CI/CD Pipeline as defect tracking system and configured workflows to automate deployment and issue tracking
• Good critical thinking and a decent cooperative person with solid interpersonal and relational abilities. Maintain effective communication with different teams

TECHNICAL SKILLS:

AWS:: IAM, EC2, S3, VPC, Route 53, RDS, RDS, Dynamo DB, RedShift, EMR, Cloud Trail, Cloud Watch, Cloud Formation, Elastic Beanstalk, and Ops Works

Azure: ARM Templates, Vm s, Datalake, Logistics, Active directory, Traffic manager, VNet s, Load balancers

Configuration Management Tools: Chef, Puppet, Ansible

CI/CD Tools: Jenkins, Hudson, Bamboo, SonarQube

Scripting Languages: Shell scripting (Korn, bash), Python, Ruby

Development/Build Tools: ANT, MAVEN, Node JS and MS Build

Monitoring Tools: Splunk, Nagios, and Cloud watch

Sub Version Tools: Subversion(SVN), GIT, Bit bucket

Databases: Oracle, MS SQL Server, MySQL, PostgreSQL, Mango DB

Web/Application Servers: WebLogic, WebSphere, Tomcat, Apache http, IIS, Jboss

Operating System: Linux (Red hat, CentOS, Ubuntu, SUSE), UNIX (HP-UX, Solaris, IBM AIX) and Windows Server

Virtualization: Oracle Virtual Box, VMware, Vagrant

Methodologies: Agile, Scrum, Kanban, ITIL and Waterfall

Networking & Communication Protocols: DNS, Router, Load Balancer, Sub netting, VPN, Network ACLs, TCP/IP, HTTP/HTTPS, SSH, FTP, SCP, RSYNC, RMI/IIOP

PROFESSIONAL EXPERIENCE:

Confidential

Senior SCM\Devops Engineer

• Setup and build AWS infrastructure in various resources, VPC, EC2, S3, IAM, EBS , Security Group, Auto Scaling, RDS in Cloud formation JSON templates.
• Wrote AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.
• Used AWS Beanstalk for deploying and scaling web applications and services developed with Java , PHP, Node.js , Python , Ruby, and Docker on familiar servers such as Apache , and IIS
• Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost effective, fault tolerant and highly available systems.
• Designed AWS Cloud Formation templates to create custom sized VPC , subnets, NAT to ensure successful deployment of Web applications and database templates
• Involved extensively in setting up the CI/CD pipeline using Jenkins, IBM RTC, ANSIBLE, Terraform and AWS.
• Handled Jenkins related activities such as creating new users with the right privileges, configuring the new builds, add/delete Jenkins slaves and resolving any Jenkins related issue.
• Configured Jenkins jobs from scratch to install various applications upon successful provisioning of windows server using tags and ansible playbooks
• Developed Ansible scripts for an automated server provisioning and Docker images for isolation, reducing the time between provisioning and deployment from over 3 hours to less than 10 minutes.
• Carried out activities to harden the environment across security, Data & Authentication. Involves in configuring database backups & run DR (Disaster Recovery) cycle & Authenticate the Authorization processes.
• Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.
• Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure and created Jenkins jobs to deploy applications to Kubernetes Cluster.
• Automate provisioning and repetitive tasks of Docker container and Service Orchestration using Terraform Templates developed by python scripting language.
• Used Terraform in migrating legacy and monolithic systems to Amazon Web Services.
• Configuring and managing an ELK stack, setup the Elastic search , ELK Stack to collect, search and analyze log files across the servers. Evaluated system logs using ELK Stack .
• Writing and maintaining build scripts with Ant and Maven, MS Build tools to perform builds efficiently.
• Installed/Configured and Managed JFrog Artifactory Repository Manager and all the Repositories.
• Integrated SonarQube with Jenkins for Continuous code quality inspection.
• Implemented real-time API monitoring and alerting mechanisms using DataDog, NewRelic.

Environment & Tools : AWS, IBM RTC, Maven, Jenkins, Ansible, Docker, Kubernetes, ELK, Terraform, Jfrog, Python, SonarQube, Shell Scripts, Groovy, PowerShell, Windows, Unix/ Linux environment, DataDog, NewRelic.

Confidential

Senior Automation Engineer

Responsibilities:

• Created Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets, designed VNets and subscriptions to conform to Azure Network Limits.
• Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, Traffic Manager.
• Migrating Existing Active Directory and Exchange users to Microsoft Azure AD using Azure AD Connect, Active Directory Federation Service ADFS and DirSync tools.
• Wrote ARM templates to develop and automate the infrastructure as a stack. We created resources and resource groups as per the requirements.
• Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets.
• Worked on Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Portal .
• Implemented Corp, 2FA and Role based authentication mechanism in Azure CXP Tools which uses Microsoft Azure Active Directory and DSTS (Datacenter Security Token Service ).
• Experience in migrating on premise to Windows Azure in DR on cloud using Azure Recovery Vault and Azure backups .
• Designed, deployed, maintained and lead the implementation of Cloud solutions using Microsoft Azure and underlying technologies .
• Migrating Services from On-premise to Azure Cloud Environments, collaborate with development and QA teams to maintain high-quality deployment .
• Ability to create scripts using Azure PowerShell during for automation and build process.
• Using PowerShell , created custom server and datacenter health reports; automated migration of VMs between 2 geographically distant datacenters with no downtime .
• Designed AWS Cloud Formation templates to create custom sized VPC Subnets, NAT to ensure successful deployment of Web applications and database templates.
• Created AWS Security groups which behaves as virtual firewalls that controls the traffic allowed to reach one or more AWS EC2 instances, Managed network security using Load balancer, Auto scaling and NACLs.
• Created Python scripts to fully automate AWS services which includes ELB, Cloud Front distribution, EC2, Security Groups, and S3. This script creates stacks, single servers and joins web servers to stacks.
• Worked with Terraform templates key features such as Infrastructure as code, Execution plans, Resource Graphs and Change automation.
• Configuring and managing an ELK stack, setup the Elastic search ELK Stack to collect, search and analyze log files across the servers. Evaluated system logs using ELK Stack.
• Used Ansible to Setup/teardown of ELK stack (Elasticsearch, Log stash, Kibana) and troubleshooted the build issues with ELK and work towards the solution .
• Managed Git repository, code merging, production deployments and Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Git source control.
• Maintained build related scripts developed in shell for Maven builds. Created and modified build configuration files including POM.xml.
• Designing and implementing CI (Continuous Integration) system: configuring Jenkins servers, Jenkins nodes, creating required scripts (Groovy) and creating/configuring VMs (Windows/Linux).
• Developed build and deployment Groovy scripts using Maven as build tools in Jenkins to move into different environments and also create new jobs and branches through Jenkins.
• Installed Jenkins on a Linux machine and created a master and slave configuration through a build farm for implementation of multiple parallel builds.
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python. Run Ansible Scripts to provision Dev servers .
• Developed Ansible to manage Web applications, Environments configuration Files, Users, Mount points and Packages.
• DevOps Practice for Micro Services Architecture using Kubernetes as Orchestrator, which is used to orchestrate the deployment, scaling and management of Docker Containers.
• Created Docker images using a Dockerfile and worked on Docker container snapshots, removing images and managing Docker volumes.
• Managed Kubernetes charts using Helm , Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.
• Used kubernetes to deploy scale, load balance, scale and manage docker containers with multiple name spaced versions .
• Creating/Managing Virtual Machines, creating clones and templates/images for deploying VMs, audit them for perfection and manage utilities and applications installed on those VMs.
• Monitoring Live Traffic, logs, Memory utilization, Disk utilization and various other factors which are important for deployment and Worked on Bash Shell Scripting , Automation of cron Jobs.
• Experience in Windows System Administration including Microsoft Active Directory, Windows Group Policy Design, Windows Replication DFS, DNS, DHCP, TCP/IP.
• Performance Monitoring of CPU, Memory, Disks, Network using various monitoring tools like Nagios and Worked with JIRA as a ticket tracking, change management and Agile/SCRUM tool.
• Automation server administration tasks using VB script, Windows PowerShell scripting .

Environment & Tools : Azure, Active directory, AWS, GIT, Maven, Jenkins, Ansible, Docker, Kubernetes, Nagios, ELK, JIRA, Python, Shell Scripts, Groovy, PowerShell, Windows, Unix/ Linux environment.

Confidential

Senior AWS/DevOps Engineer

Responsibilities:

• Built and configured a virtual data center in the Amazon Web Services cloud to support enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
• Created Python scripts to totally automate AWS services which includes web servers, ELB, CloudFront distribution, database, EC2 and database security groups, S3 bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
• Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
• Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup.
• Used various services of AWS for this infrastructure. I used EC2 as virtual servers to host Git, Jenkins and configuration management tool like Ansible. Converted slow and manual procedures to dynamic API generated procedures.
• Implemented rapid-provisioning and life-cycle management for Ubuntu Linux using Amazon EC2, Chef, and custom Ruby/Bash scripts.
• Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT and Chef.
• Configuring and managing an ELK stack, setup the Elastic search ELK Stack to collect, search and analyze log files across the servers. Evaluated system logs using ELK Stack.
• Utilized Configuration Management Tool Chef & created Chef Cookbooks using recipes to automate system operations and Configuring Chef to build up services and applications on the instances once they have been configured using cloud formation.
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python. Run Ansible Scripts to provision Dev servers.
• Created Docker containers for Testing environment to test the applications and Worked on Docked-Compose and Docker-Machine.
• Used Kubernetes for automated deployments, scaling and management of containerized applications across clusters of hosts.
• Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.
• Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure and created Jenkins jobs to deploy applications to Kubernetes Cluster.
• Build scripts using MAVEN build tools in Jenkins to move from one environment to other environments and developed a continuous deployment pipeline using Jenkins, chef and Ruby scripts.
• Built Continuous Integration environment Jenkins and Continuous delivery environment.
• Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain, SVN/GIT with Dev/Test/Prod Branching Model for weekly releases.
• Performance Monitoring of CPU, Memory, Disks, Network using various monitoring tools like Nagios, worked with JIRA as a ticket tracking, change management and Agile/SCRUM tool.
• Planned release schedules with agile methodology & coordinated releases with engineering & SQA for timely delivery.
• Troubleshoot the automation of Installing and configuring applications in the test environments.

Environment: AWS (EC2, S3, Lambda, Glacier, VPC, EBS, RDS, ELB) CHEF, CACTI, Jenkins, Maven, Jira, Linux, Kubernetes, Terraform, Docker, AppDynamics, Nagios, PowerShell, Bash, Ruby and Python

Confidential

DevOps & Cloud Engineer

Responsibilities:

• Developed Python scripts to automate AWS services which includes ELB, Cloud Front distribution, Database, EC2, Route53, Auto scaling, ECS, Security groups and S3 bucket.
• Used Amazon IAM to manage roles and permissions of users to AWS account through IAM, Configured Amazon Cloud Watch alarms with Amazon EC2 instances for monitoring the log files, store them and track metrics.
• Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
• Created AWS Security groups which behaves as virtual firewalls that controls the traffic allowed to reach one or more AWS EC2 instances, Managed network security using Load balancer, Auto scaling, and NACLs.
• Setting up databases in AWS using RDS, storage using S3 buckets and configuring instance backups to S3 bucket, Worked on migrating MongoDB collections to new DynamoDB tables.
• Hands on experience in Assisting stake holders of Splunk in designing and maintaining production-quality data, dashboards and various applications.
• Worked as DevOps engineer/Build and release engineer in field of release automation for java/.Net application to achieve continuous integration (CI) and continuous delivery (CD), Implementation of Ansible to deploy the builds for Dev, QA and production.
• Written Chef Cookbooks for various DB configurations to modularize and optimize product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes.
• Installation of Ansible Server Enterprise on premise/AWS/bootstrapped the nodes automated the infrastructure using playbooks.
• Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications, Worked with GIT to store the code and integrated it to Ansible Tower to deploy the playbooks.
• Configuration and maintenance of Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds.
• Responsible for Continuous Integration and Continuous Delivery (CI/CD) process implementation using Jenkins along with Python and Shell scripts to automate routine jobs.
• Created Docker images using a Docker file and worked on Docker container snapshots, removing images, Managing Docker volumes and worked on Docker swarm to deploy the containers into the cluster using Docker CLI.
• Implementation of a Continuous Delivery pipeline with Docker, Jenkins and GitHub.
• Building Docker images with Ansible provisioning. Responsible for Docker and services discovery, including management and customization of images, and adding external content by using Docker Hub, as well as exposing container ports, using port redirects, creating snapshots, writing automation for Docker file.
• Deployment and management of many servers utilizing both traditional and cloud-oriented providers (for example, Amazon EC2) with the Chef platform.
• Used Elastic Bean Stalk for deploying and scaling web applications and services developed with Java.
• Monitored the health of the application using Nagios.
• Setup and configuration of web servers with apache and nginx.
• Involved in JIRA as defect tracking system and configure various workflows, customizations, Plug-ins for Jira bug/issue tracker, Involved in Administration and support of Unix Servers including SUSE, Solaris, HP-UX & Red Hat Linux and CentOS.

Environment: Java/J2ee, Chef, Ansible, Splunk, Amazon Web Services (AWS), Jenkins, Docker, Python, Ruby, Maven, Docker, Artifactory, Git, Ubuntu, Nagios, Jira, Shell Scripts

Confidential

DevOps Engineer

Responsibilities:

• Strong experience on DevOps tools such as GIT, Chef, Docker, Puppet, Vagrant, Virtual box, Ansible, Jenkins, Maven, ANT and SVN.
• Developed and implemented automated Linux infrastructure environments on VMs using Vagrant, Chef, Jenkins, Maven, Git, Apache and Tomcat servers.
• Versioning and Source control of codes using GIT, Bitbucket using concepts such as branching, merging, labelling/tagging, branches locking, access control and integration.
• Authored pom.xml files, performing releases with the Maven release plugin, Mavenization of Java projects and managing Maven repositories.
• Worked on Tomcat, JBOSS, WebLogic and WebSphere Application servers for deployments.
• Implemented a continuous delivery using Jenkins in Linux environment.
• Worked closely with different projects for build and release SCM effort like Branching, Tagging, Merge, etc.
• Involved in the setup of Chef servers, work stations, nodes and bootstrapping new infrastructure chef nodes for configuration management.
• Setup the Jenkins jobs for Continuous integration process and to execute test cases.
• Migrated on premises Databases to AWS.
• Used SHELL, PERL, PYTHON scripting to automate processes.
• Resolved Build failures due to infrastructure issues reduced by 95% stabilizing the build process. Setup and executed process to code review system effectively.
• Experience with CI (Continuous Integration) and CD (Continuous Deployment) methodologies using Jenkins.
• Writing JSON templates for cloud formation and ruby scripts for chef automation and contributing to our repository on GITHUB (sub version control).
• QA experience in all phases of life cycle, including requirements gathering, risk analysis, project planning, scheduling, testing, defect tracking, management, and reporting.
• Used JIRA to track issues and Change Management.
• Worked on Tomcat 7, JBOSS, WebLogic and WebSphere Application servers for deployments.
• Strong experience in working in Linux and Windows environments.

Environment: ANT, Puppet, Jenkins, Make, JIRA, Perforce, Shell, UNIX, Linux, Subversion, AWS, Nexus, Apache 2.x, Apache Tomcat 6.x/7.x, New Relic

Confidential

Build & Release Engineer

Responsibilities:

• Administered and handled configuration management of GIT and source code repositories: Administration source tree, user account creation, repo sync, branching, checkout, merging, cherry-pick, tag creation, pull, push, fetch, resolving merge-conflicts, merge-tool, commit, tag creation, snapshots, open source tools.
• Played a very important role as SCM engineer in handling entire builds. Automated the build and release management process including monitoring changes between releases.
• Worked closely with Project Managers to understand a code/configuration release scope and how to confirm a release was successful.
• Built and deployed java source code into application servers in an Agile continuous integration environment.
• Developed and maintained UNIX/Perl scripts for build tasks.
• Documented project's software release management procedures with input decisions.
• Worked as a system administrator for the build and deployments process on the enterprise server.
• Developed, maintained, and distributed release notes for each scheduled release.
• Executed user administration and maintenance tasks including creating users and groups, reports, and queries.
• Resolved the build and deployment related bottlenecks with the development team.
• Involved in Installing Hudson on a Linux machine and created a master and slave configuration to implement multiple parallel builds through a build farm.
• Deployed the Java applications into web application servers like Apache /Tomcat.
• Designed the project workflows/pipelines using Hudson as CI tool. Expert in Plugin Management for Jenkins.
• Pulled code from development line using cherry-pick, creating a tag, and pushing it to main line using GIT version control after integration and build.
• Established processes and tools to maintain code-based integrity, including check-in validation rules and branch/merge processes.
• Participated on Release Readiness review status meetings monthly.
• Created Release Plan, definition, collection, analysis, and presentation of release project metrics.
• Used Nexus for periodic archiving and storage of the source code for disaster recovery; sharing artifacts and handling dependency management within the company.
• Developed and maintained the Standard Operating Procedures for the software.
• Created scripts for Backup and restoring GIT repositories.
• ITIL best practices were brought into the normal SDLC process and lead the effort of bringing change in the organization.
• Documented all post-deployment issues in a log and assist in resolving these issues where applicable, maintaining timely updates within the log. Manual and Automation process of creating branches tags and code merging.
• Identified Cross Functional Dependencies, Monitoring & tracking the release milestones.
• Involved in developing and maintaining quality control processes, continually meeting corporate objectives, and resulting in highest level of client satisfaction.
• Created and managed VMs (Virtual Server) and involved in the maintenance of Virtual Servers.
• On-call support for 24/7 for troubleshooting production issues.
• Worked on Windows and UNIX OS environments.

Environment: SVN, J2EE, Bamboo, WebLogic, Ant, Maven, JBoss, Apache Tomcat, JSP, Python, Gerrit, Jira, Nexus

Confidential

Linux Admin

Responsibilities:

• Create user accounts and group policies on windows and Linux Servers.
• Day to day Linux hardware support, problem and change ticket implementations, OS builds & upgrades along with day-to-day Storage.
• Analyzed and resolved problems associated with Linux server/desktop hardware, application software.
• Installed and maintained CentOS and Linux Red Hat Servers.
• Provided release updates to the management team and business liaison leads. Releases were done at feature level and not at individual changes or at file level.
• Configured and monitored JBOSS instances.
• Responsible for administration of GIT version control and Perform activities branching, tagging, backup, restore, access permissions.
• Experience in installation and configuration of a monitoring tool Nagios.
• Set up and configure Network, switches, routers, WAN and Firewall.
• Remotely copying files using SFTP, FTP, SCP and FileZilla.
• Wrote UNIX shell scripts for automated installations, to extract logs using C, Bash, Perl, and Python.
• Configuration and administration of DNS, LDAP, NFS, NIS in RHEL.
• Configured network protocols such as DNS, DHCP and SMTP and troubleshoot network issues related to TCP/IP protocol providing support for users in solving their problems.

Environment: UNIX, Red Hat Enterprise Linux (4.x/5.x), Solaris 8, SUSE 10, Sun Ultra Enterprise 600/450, SUN Ultra 10/5/2/1, Samba, VMware, Bash.