Devops Engineer Support
Resume:
Prashanthi
************@*****.***
linkedin.com/in/prashanthi-d-3783b2152
DevOps Cloud AWS Automation DevSecOps SRE Build & Release Manager
Background Summary:
Over 10+ years of IT experience as with extensive experience in Build & Release, DevSecOps Engineer, Devops engineer and AWS engineer L2 Support Engineer. Implementation, administration, and Application-product support with expertise in automation of Centos, RHEL, Linux and Windows Server and with Extensive experience in AWS through Continuous Integration (CI) & Continuous Deployment/Delivery (CD) and Automation of Infrastructure as Code under DevOps Culture in an Agile Environment.
●Expertise in CI/CD flow, Cloudbees Jenkins, Docker, Kubernetes GitHub, GitHub Actions, Multibranch Pipeline Jenkins file (Pipeline as Code) and defined branching strategy along with Jira integration from the Jenkins.
●Experienced in using AWS and GCP, AZure cloud, ArgoCD and Private cloud infrastructure platforms, Event Driven Architecture (EDA). Experience in working on Kafka, Consul, Vault, Hystrix, Zipkin, Turbine, KDC, Zookeeper, Textract Hadoop, ELK ElasticSearch, Logstash, Cloud watch, ELK stacks, Mirror maker EKS, LLM, transit Gateway, eventbridge, EMR, CDK(Cloud Development Kit),S3, Lambda, Glue, AWS SDK, Delphix, AKS.
●Experienced in Configuration Management tools performing Mvn, Gradle, Application Builds/Packaging, defect management, troubleshooting using tools Puppet, Ansible and Docker, Packer.
●Experienced in Docker orchestration and Docker containerization using Kubernetes. Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers, AWS Code Build, Code Commit, and Code Deploy.
●Experience in setting up and configuring Apogee platforms, securing key stores and enabling handshakes through API platforms. Used Dynatrace to monitor cloud environments (AWS, Azure, GCP) and containerized applications running on Kubernetes or Docker. Deployed and configured CaaS environments across multiple cloud providers (AWS, Azure, GCP), improving infrastructure flexibility and resilience.
●Extensive experience in building and deploying artifacts such as war and ear files from Source Code by using build tools like ANT and Maven.
●Expertise in deploying micro services, REST, SOAP services, JSON and XML. API platform management by customizing policies for access management.
●Experience in Ablation, Linux Administration Installation, Configuration, Tuning and Upgrades of Linux (Red Hat and Oracle).
●Experienced in branching, tagging, and maintaining the version across the environments using SCM tools like GIT, GITHUB Subversion (SVN), Gather Actions, CVS, Perforce, IBM clear case and TFS on Linux and windows and Azure Devops.
●Experience in development and configuration experience with software provisioning tools like Terraforming, Puppet, Packer.
●Experienced AWS Bedrock AI/ML solutions on cloud platforms such as AWS, Azure, or GCP, leveraging cloud services for training, inference, and data storage. Managed the lifecycle of ML models from development to deployment and monitoring, using tools like MLflow and Kubeflow
●Expertise in Scripting with Bash, Shell, Perl, Ruby, Python programming for Automation of Activities and builds, deployment of C#/.NET/JavaScript, Mvn, Gradle applications on bare servers or Middleware tools.
●Experienced in Hadoop Administration activities such as installation and configuration of clusters using Apache, cloud era, Horton works.
●Expertise in building deployment artifacts such as war & ear from source code using ANT and MAVEN. Experience with CI (Continuous Integration) and CD (Continuous Deployment) methodologies using Jenkins and Gather Actions Harn. Proficient in setting up and configuring Baselines, Branching, Merging, and Backup through GIT and Subversion (SVN), Bit bucket.
●Extensively worked with automation tools like Hudson, Jenkins, and Build Forge to implement the End-to-End Automation.
●Experienced in working on Davos/Agile operations process and tools area (Code review, unit test automation, Build & Release automation, Environment, Service, Incident and Change Management).
●Extensively worked on Jenkins for continuous integration and for End-to-End automation for all build and deployments.
●Experienced in troubleshooting and automated deployment to web and application servers like Web Sphere, Web Logic, JBOSS and Tomcat.
●Extensive experience in implementing devops tools and pipelines using Jenkins, Nexus Art factory, Puppet, Docker and Packer etc. for continuous integration and delivery, Sage maker ML model deploys.
●In-depth knowledge of Infrastructure project management methodologies (ITIL, ITSM), Enterprise Data Center operations, ITIL based Service Delivery model along with expertise in remote management and Onsite/Offshore project delivery operations.
●Experienced L2 Support, ticketing and tracking tools like Rally, JIRA, for Production hotfixes and bug fixes.
●Experience with ETL, Oracle and MS SQL Server DB Tasks (DML, DDL Executions, Log Rotations, Table space alterations, user management etc.).
●Managing in-house monitoring tool VCMS, and hands-on experience with Zambia, Spelunk, and Icing for Network Monitoring/ Resource Monitoring/ Log Trace Monitoring.
●Experience in installing, integrating, tuning, and troubleshooting web application servers Apache, IIS, HIS, Tomcat, Web Sphere, Web Logic and Jobs and Deploying Enterprise Applications on them.
●Configured Networking Concepts NIS, DNS, NFS and DHCP. Troubleshooting network problems like TCP/IP, providing support to the users, and solving their problems.
●Experience in providing customer support 24x7, and troubleshooting skills. Good interaction with developers, managers, and team members to coordinate job tasks and strong commitment to work.
Technical Skills:
Operating Systems
Red Hat Linux ES, Centos OS 4.X, 5.X, 6.X, 7.X, Ubuntu 10.X, Solaris 9,10, 11, Windows, AIX 7, HP-UX 11.23
Server Provisioning
Terraforming, Puppet, Ensile, Chef
Cloud Services
GCP, Mule Soft, AWS (Amazon Web Services) (EC2, S3, ELB, ROUTE 53, VPC, Elastic Load Balancer, Cloud Watch, CloudTrail), Oracle cloud, Microsoft Azure. MGN-Cloud Migration Factory, EKS, Textract, s3 Transit Gateway, Lambda, CDK, Sage maker, Cloud Front, Congenital, LLM, EMR, Glue, SDK, Vault, ELK
CI Tools
Puppet, Chef, Ensile, Docker, Terraforming, Packer
CD Tools
Jenkins, Hudson, Bamboo, Cloud Bees, Harness
Versioning Tools
Get, GitHub, Gather Actions, TFS, CVS, Perforce, Clear Case
Build Tools
Ant, Maven
Scripting Languages
Bash, Perl, Python, Groovy, Ruby, Shell, Java, React, Erlangen, PowerShell, GO, Rust, Comal
Scheduling Tools
Autopsy’s, Confab
Web/App Servers
Apache, IIS, HIS, Tomcat, Web Sphere, Web Logic, Jobs,
Databases
My SQL, SQL Server, Oracle, ETL
Monitoring
Sumo-Logic, Cloud Aware, Nations, ZABBIX, Spelunk, Load Runner, Dynatrace, AppDynamics, Splunk, Catch point
Repositories
Nexus, JFrog Artifactory
Networking
LDAP, DNS, DHCP, TCP/IP, SMTP
Virtualization tools
VMWare vSphere, ESX 5.x/6.0
PROFESSIONAL EXPERIENCE:
Client: Tiktok, New York May 2023 to Present
Role: Production Support Engineer/SRE
Responsibilities:
●Implementing SRE/DevSecOps solutions for various development teams, including source control, work item tracking, build and release management.
●Configured and maintained DevOps pipelines, including automated builds and deployments CI/CD (Continuous integration/Continuous deployment), architecture, design, and software development.
●Developed custom scripts and tools to automate various aspects of the software development process.
●Working on creating the orchestration setup such as Cloud function, pubsub, GCS, composer and Airflow and Dataflow, creating the CICD to deploy and update the DAGS and update the variables in airflow.
●Set up CI/CD pipelines for C#/.NET/JavaScript applications using Azure DevOps/GitHub Actions, automating the build, test, and deployment process.
●Worked on agile methodology to deliver end to end CI/CD (Continuous integration/Continuous deployment) delivery product in Google Cloud Environment (GCP) and On-premises data center using Cloudbees Jenkins, Spinnaker, Kubernetes, ansible.
●Used Cloudbees Jenkins/Spinnaker and Packer to create VM’s in GCP. Created Centos images using Packer build and image is published appropriate GCP project.
●Integrated Ansible with CI/CD pipelines to automate the deployment and management of applications, enabling continuous delivery.
●Implemented SAST practices that reduced the occurrence of critical security vulnerabilities
●Responsible for L2 support activities, Managed and maintained OpenShift clusters for development, staging, and production environments.
●Streamlined security testing by integrating SAST and DAST tools into the CI/CD pipeline, reducing the time to detect and fix vulnerabilities.
●Working on creating custom alerts and dashboards in stackdriver, monitoring resources in GCP using log based alerts.
●Working on creating terraform modules for all the resources being used by the team and deployed and provisioning those using Terraform via a Jenkins pipeline.
●Worked on setting up the groups and roles for team members to access any resource in GCP using terraform.
●I was also part of on-call twice a month supporting all the apps in prod and maintaining the SLA, SLO, SLI as designed by the product teams.
●Set up monitoring and alerting for ArgoCD applications using Prometheus and Grafana, ensuring proactive issue resolution.
●Responsible for managing cloud computing tool AWS and the code in GIT (version controlling) and Azure Devops.
●Implemented security best practices and compliance measures in Azure DevOps environments, enhancing system security and compliance adherence.
●Configured and maintained Azure infrastructure Architecture, including virtual networks, storage accounts, and virtual machines, ensuring optimal performance and cost-efficiency
●Implemented monitoring and logging solutions using Azure Monitor and Log Analytics, enhancing system observability and proactive issue resolution
●Responsible for managing cluster size, troubleshooting and monitoring the spark data bricks, Load Runner, Dynatrace, AppDynamics, Splunk, Catch point
●Set up monitoring and logging for deployed AI/ML models using Prometheus, Grafana, and ELK stack, ensuring model performance and reliability.
●Integrated LLaMA models with existing AI/ML pipelines to enhance natural language understanding and generation capabilities.
●Responsible for hosting plans for GCP Infrastructure Architecture, implanting & deploying workloads in GKE.
●Implement data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center
●Responsible for setting notification alerts for spikes in CPU, Memory, VM health metrics and event logs. Worked on creating helm charts for our workloads and deploying them to GKE.
●Worked on creating a separate Jenkins framework for SRE Team, which helps to install monitoring components once the environment stood up.
●Leverage Dynatrace's AI capabilities to automatically detect and analyze the root cause of performance issues, DNS, networking issues.
●Created DNS resolutions for the API’s to communicate with the services, created SG’s and IAM policies. Used insights from Dynatrace to tune application and infrastructure performance, improving overall system efficiency.
●Write Groovy scripts to automate the setup of development, testing, and production environments as part of SRE L2 support activities.
●Automated repetitive monitoring tasks and incident responses using Dynatrace's API and automation features.
●Implemented GitOps workflows using ArgoCD to automate Kubernetes deployments, ensuring consistency and reliability across multiple environments
●Implemented blue-green deployment strategies with ArgoCD, minimizing downtime and risks during application updates
●Automated the setup and configuration of LDAP servers using Infrastructure as Code (IaC) tools such as Terraform and Puppet, improving deployment speed and accuracy.
●Managed and configured LDAP directories for large-scale enterprise environments, including user provisioning, role-based access control (RBAC), and group management. Implement and configure ServiceNow modules like Incident Management, Problem Management, Change Management, and Request Management.
●Implemented automated password rotation for privileged accounts to minimize the risk of credential theft.
●Worked on playing with API’s using python. Wrote a python script which call’s PagerDuty ape to disable and enable the services which trigger so many calls to on call persons when deployment happens
●Working with performance teams and identify the performance gaps and tune them accordingly and update the CPU/memory limits and adding up the HPAs as per app performance.
●Creating DAGs for our schedule runs using python scripts and shell.
Environment: Mule-Soft, GIT, GITHUB, LDAP, Terraform, Kubernetes, Docker, Ansible, JFrog Artifactory, Puppet, Apache Tomcat, AWS (Amazon Web Services),AWS Bedrock, AI/ML, C#/.NET/JavaScript, LLaMA, Groovy, Shell scripts, Perl scripts, Python,ArgoCD, OpenShift, Cloudbees Jenkins, JIRA, Nexus Maven, LINUX, Windows XP, SNS, Hadoop, SQS, Cloud watch AWS S3, AWS Cloud Formation Templates, AWS RDS, CAAS, AWS Cloud Foundry, ELK, New Relic, Cloud Aware, SAST, DAST, Sumo-Logic, route53, Sage maker, Node.js, typescript, GCP, Azure Devops, Lambda, DynamoDB, CyberArk, ServiceNow, L2 Support.
Client: New York Life, NJ March 2019-April 2023
Role: SRE/ DevSecOps Engineer
Responsibilities:
●Implemented multibranch pipeline (pipeline as code) with groovy script. Created JenkinsFile and defined branching strategy. Defined and documented complete CI/CD flow (Continuous integration/Continuous deployment) .
●key in driving DevOps and Release Management maturity by managing the source code management system, automating builds and regression testing, building tools and monitoring (APM) used in technology deployments, and coordinating and pushing new releases through all environments which reside in AWS and MuleSoft.
●Worked on AWS infrastructure Architecture using a combination of raw CloudFormation templates and CDK-generated templates. Managed the deployment of that infrastructure Architecture across all environments.
●Deployed and managed micro services from development environment to production environment and integrated alerts to micro services and rest API’s. Worked on an OpenSearch server-less application.
●Implemented a robust CI/CD pipeline for microservices applications using Cloudbees Jenkins, Tekton, and Kubernetes, enhancing deployment speed and reliability.
●Wrote Groovy scripts to automate repetitive tasks such as file manipulation, database operations, and system configurations.
●Managed and maintained Kubernetes clusters across multiple environments (development, staging, production).
●Automated deployment processes using Jenkins and Kubernetes, reducing deployment time.
●Worked on EKS migration for all the applications and wrote custom Jenkins jobs to trigger the build and deploy. Responsible for Unit testing for all C#/.NET/JavaScript, Mvn, Gradle applications and code coverage.
●Managing Mule Soft admin activities supported build, unit test and deployments from non-prod to till production, integrated Sumo Logic to all the MuleSoft API for monitoring the logs.
●Created and managed OpenShift projects, routes, services, and deployment configurations.
●Extensively worked and supported MuleSoft API deployments in all the environments. Worked on MuleSoft VPC migration and documented all the migration process.
●Worked on Puppet Open source configuration Management. Built a custom dashboard for puppet, where it gets all the reports of puppet master and client details.
●For automating tasks wrote shell scripts (Bash), Python, Ruby, Erlangen, PowerShell, GO, Rust, Comal and worked on setting up baselines, branching, merging and automation processes.
●Created VPC’s, DLB’s, Environments in Mule Soft and managed API Manager and Runtime Manager Any Point Platform.
●Conducted regular DAST scans on staging and production environments, identifying and mitigating runtime security issues like XSS and SQL injection.
●Collaborated with development teams to remediate vulnerabilities discovered through DAST, leading to a more secure application deployment.
●Applied DAST methodologies to test microservices-based architectures, identifying and fixing API vulnerabilities.
●Integrated Sumo-logic for all the AWS services for monitoring (APM) the logs and worked on Cloud Aware alerts.
●Worked and managed multiple release trains parallels and supported end to end for all micro services Java, React, Ram, soap applications.
●Collaboratively worked with the security team, data teams worked on ETL, development teams and worked with the change management team for all the production activities and deploying machine learning models in production using AWS Sage maker.
●Responsible for Privileged Access Management (PAM) systems, CyberArk, Security Scanning (SAST & DAST), Code Security Scanning and Analytics, Cloud Native Application Security.
●Coordinate with the Development, Database Administration, QA, and IT Operations teams to ensure there are no resource conflicts, managed offshore resources.
●Worked on DynamoDB creations, RDS postures instance creations in all the environments using Terraform modules, packer. Supported for dynamo DB data load with python scripts, Lambda.
●Created key tabs for Kafka connection to the AWS and On-prem servers, managed Vault for key management.
●Responsible for setting up application metrics dashboards using tools such as ELK elastic search, kabana, grana. Responsible for troubleshooting any build issues with ELK and working towards the solution.
●Deploying and operating AWS, specifically VPC, EC2, S3, Textract, EBS, IAM, ELB, Lambda, Cloud Formation, Cong into, EKS, LLM, EMR, Open search server less, ELK, Apposing and Cloud Watch using the AWS console and AWS CLI. Monitoring (APM) health of Amazon EC2 instances and other AWS services.
●Migrated standalone applications from Onprem to AWS cloud. Deployed artifacts on AWS with Jenkins AWS Code Deploy plugin.
●Implemented the setup for master slave architecture to improve the performance of Jenkins. Used Jenkins for Continuous Integration and deployment into Tomcat Application Server. Used puppet and other configuration management tools to deploy consistent infrastructure Architecture code across multiple environments.
●Managed GIT repositories for branching, merging, and tagging. Worked on creating automated pipelines for code streaming.
●Designed and implemented a multi-region AWS architecture to support global operations, enhancing performance and availability.
●Developed Python scripts for automating routine tasks and integrating with cloud APIs, improving operational efficiency.
●Maintain automation & network simulators develop Python test scripts, run regression/sanity test release binaries.
●Created local, virtual repositories in Frog Artifactory and integrated with Jenkins. Worked with JIRA for issue tracking, Performance testing and monitoring.
●Integrated LDAP-based authentication and authorization into Jenkins CI/CD pipelines, ensuring secure access control for developers and operations teams.
●Automated the deployment of LDAP configurations across multiple environments using Ansible and Terraform, enhancing security and consistency in the CI/CD process.
●Involved in writing SQL queries to implement the related changes and debugged the build errors using SQL queries to make sure Database is not corrupted.
●Setup and configured New Relic, Dynatrace to monitor the performance of applications across various environments (production, staging, etc.). Monitor the health of servers, databases, and networks using Newreli, Dynatrace to ensure optimal performance and uptime.
●Used New Relic to monitor server performance, cloud infrastructure, and containerized environments.
●Used insights from New Relic to identify and address performance issues, optimize application performance, and reduce infrastructure costs.
●Deployed and configured CyberArk to secure privileged accounts, manage credentials, and control access to critical systems. Used CyberArk to discover and onboard privileged accounts across the organization, ensuring all are secured.
●Developed and enforced PAM policies, including password rotation, session recording, and least privilege access.
●Compiling software from sources such as Linux distributions or other open-source software. Setting up Jenkins continuous build integration system.
●Responsible for User Management, Plugin Management and END-END automation of Build and Deploy using Jenkins.
●Attending SCRUM meetings from Feature complete until technical acceptance phases of the project.
●Presented reports to the Project manager about the progress and issues tracking key project Milestones, plans and resources.
●Responsible for change management tickets for production releases, Supporting 24/7 On-call support.
Environment: AWS (Amazon Web Services),LDAP, CAAS, Kubernetes, Docker, Vault,CyberArk, ServiceNow, Cognate, Event Driven Architecture (EDA), Apogee, LLM, MuleSoft, GITLAB, Gather, Gather Actions, SQL, Cloudbees Jenkins, OpenShift, Maven, C#/.NET/JavaScript, ETL, Delphix, Horton works, Terraform, packer, CDK, Kafka, Key tabs, log stash, kabana, grana Keymanagemnet, EMR, Puppet JIRA, JFrog Artifactory, Mvn, Gradle, Shell, python, Groovy, UCD, Alation, UNIX and Linux, Sumo-Logic, Cloud Aware, databricks, data dog, Sagemaker, Cloud watch, LoadRunner,Newrelic, Dynatrace, AppDynamics, Splunk, Sumologic, New Relic, Catchpoint, ELK stacks, cucumber, EKS, Transit Gateway, route53, S3, SAST, DAST, SDK, Hadoop, Azure Devops, AKS, eventbridge, Lambda, Glue, React, GraphQL Appsync, Erlang, Rust, Ocaml.
Client: Tesla, Fremont CA May 2016– Feb 2019
Role: DevOps Administrator/ L2 support
Responsibilities:
●Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation from Dev to Production systems using Cloudbees Jenkins, JFrog Artifactory, GIT, SVN, Chef automation tool.
●Created and maintained documentation of build and release processes and application configuration to comply with audit requirements and Industry best practices.
●Converted and automated builds using Maven and Ant. Scheduled automated nightly builds using Cloudbees Jenkins.
●Administration of Azure DevOps Services virtual machines, SQL databases, Azure Active Directory, and storage.
●Integrated the latest features from Microsoft Azure into existing business applications;
●Used a stock image gallery where we stored the generated images and developed Azure pipelines in Azure DevOps to implement these Azure services.
●Created and applied Baselines and Labels for each Build Artifact.
●Created UCM Projects, Development and Integration views for Development and Integration Streams.
●Using Chef and AWS allowed me to reduce costs for the department and eliminate unwarranted resources. Automated provisioning of cloud infrastructure with Chef.
●Replaced existing manual deployment and management processes with Chef and AWS Works stacks across 4 product platforms
●Automated Nagios alerts and email notifications using python script and executed them through Chef.
●Installed Chef-Server Enterprise On-Premise/WorkStation/ Bootstrapped the Nodes using Knife.
●Configured and maintained automated environment using Chef Recipes and cookbooks to manage system configuration with in AWS environment.
●Overall process improvement to any manual processes and also managed servers on AWS cloud platform using Chef configuration management too
● Migrated the on premise WebLogic applications to AWS WebLogic applications by writing the required Chef-artifacts.
●Implemented CI and CD for database using Jenkins and UDeploy.
●Installed Docker Registry for local upload and download of Docker images and even from Docker hub.
● Managed Docker orchestration using Docker Swarm.
● Designed and Developed Bamboo Build deployments on Docker containers.
● Setup Jenkins tool to integrate the JAVA project and maintain Jenkins with continuous integration and deployment.
●Managed GIT and SVN as Source Control Systems
●Created Preoperative and Postoperative triggers in UCM.
●Developed scripts using PERL, BASH and BATCH files for Automation of Activities and builds.
●Provided level one support for build troubleshooting and production issues.
●Responsible for the EBFs (Emergency Bug Fixes) to push them to different environments and monitor their status.
●Worked in design and deployment of national data centers using the Open stack
●Performed merges for each build from Development Branch to Integration Branch.
●Created the Release Management plan with the implementation schedule.
●Responsible for Build and Install Schedules using Unix Cron jobs.
●Maintained configuration files for each application to build and install on different environments.
Environment: Redhat-linux, AWS Maven/Ant, Cloudbees Jenkins, JFrog Artifactory, Azure Devops, Azure cloud, Puppet, Nexus, openshift, SVN repositories, Apache, JBOSS, Tomcat.
AnthraSoft IT Services Pvt Ltd, India Jun’2012– Feb’2014
Build/Release Engineer
Roles and responsibilities:
●Automating the Build process using SVN, and ANT
●Managed builds and wrote Build scripts for JAVA and WebSphere based applications
●Maintained source code repository in SVN.
●Configure Git with Jenkins and schedule jobs using the Poll SCM option.
●Successfully administered SVN, Cruise Control and AnthillPro.
●Performed installation, configuration and administration of Clear Case, SVN and afterwards migrated src, config and website code over to Git in Windows and Linux environment
●Automated deployment of builds to different environments using AnthillPro.
●Used JFrog Artifactory repository tool for maintaining the java-based release code packages.
●Implemented continuous integration using the Hudson, which tracks the source code changes
●Create and set up automated nightly build environments for Java projects using Maven.
●Studied the current build and release process and automated the process using Shell scripts.
●Perform various builds for the QA, and Production Environments.
●Experienced in building Java applications using make files (Ant utility), Shell Scripts.
●Deployment of application to the Tomcat/ WebSphere Application Server.
●Integrating GIT and Clear Case with Cruise Control, Jenkins.
●Resolving merging issues during build and release by conducting meetings with developers and managers.
●Installed and maintained Enterprise Applications in a clustered environment with failover support with the interaction of the developers.
●Installing WebSphere Enterprise Service Bus for providing a non SOA channel for communication between different modules in the production environment and setting the Memory Usage of the ESB application server.
●Installed IBM WebSphere MQ series 5.x in a clustered and session replication environment. Configured IBM WebSphere Application Servers 6.1 stand alone and Network deployment servers.
Environment: SVN(Subversion), AnthillPro, ANT, NAnt, and Maven, Chef, TFS, Jenkins, Clear case, Unix, Linux, Perl, Jython, Python, Ruby, Cruise control, AWS, Bamboo, Hudson, Git, JIRA, Shell Script, WebLogic.
Education:
●Master’s in information technology – Wilmington University Delaware -2016
●Bachelors in Electronics and Communication Engineering – JNTU Hyderabad-2013
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