Devops Engineer Hands-On

Bradley sunder

Sr DEVOPS ENGINEER ******.****@*****.***

Professional Summary:

Extensive Around 10 Year of hands-on IT Experience in DevOps, Cloud Computing, Release Engineering, and System Administration with hands-on expertise in automation, monitoring, and CI/CD pipelines.

Proficient with DevOps Tools such as Jenkins, Git, Maven, Nexus, Ansible, Chef, Puppet, Docker, Kubernetes, and Helm for building, deploying, and managing applications.

Cloud Expertise in AWS, Azure, and GCP, including provisioning, automation, and security services (EC2, S3, VPC, Lambda, IAM, CloudFormation, Azure Resource Manager, Data Factory, GKE).

Strong in Infrastructure as Code (IaC) using Terraform and Ansible to automate infrastructure provisioning across multi-cloud environments. Experience

CI/CD Pipeline Design & Automation using Jenkins, GitLab CI, Ansible, and Docker, ensuring seamless integration and deployment workflows.

Experience with Containerization and Orchestration, including Docker, Docker Swarm, Kubernetes (kubeadm, kubectl, Kops, EKS), and Istio service mesh.

Monitoring & Logging Expertise using ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Nagios, Prometheus, and Grafana for real-time visibility and alerts.

Development & Scripting Skills in Python, Bash, Groovy, Perl, Shell, YAML, and XML to automate tasks, configure systems, and support deployments.

Source Code Management using Git, GitHub, GitLab, SVN, and ClearCase, with experience in branching strategies and code integration.

Application Development & Debugging experience with Java, Spring, C++, Android, NodeJS, and Databases (MySQL, DynamoDB, MongoDB).

Enterprise Application & Data Center Migration from on-prem to cloud (AWS, Azure, GCP), including legacy modernization, cost optimization, and hybrid deployments.

Strong Knowledge in Virtualization using VMware ESXi, vCenter, VDI, and managing virtual machines, snapshots, and resource planning.

Storage Administration with NetApp, Pure Storage, VMAX, including SnapMirror replication, CIFS/NFS configuration, and Purity upgrades.

Big Data Ecosystem Experience with tools like Hadoop, Hive, Spark, Kafka, Cassandra, Ni-Fi, and hands-on setup of Data Lakes on-prem/cloud.

Security & Identity Management in AWS IAM, Azure AD, Key Vault, and configuration of RBAC policies across Kubernetes and cloud environments.

Agile and ITIL Practices with tools like Jira, Confluence, and strong documentation skills in HLD/LLD, requirements gathering, and stakeholder engagement.

Excellent Troubleshooting, Communication & Leadership skills with experience supporting production environments, incident resolution, and mentoring teams.

Technical skills:

Skills Category

Technologies/Tools

Cloud Platforms

Azure, AWS, GCP, OpenStack, AKS, Microsoft Azure,

Configuration Management Tools

Configuration Management Tools, PowerShell DSC, Ansible2.16

Ansible Tower 23.0Terraform 1.7

CI /CD Tools

Jenkins, Bamboo, Nexus Repository Manager, Git, Azure DevOps Pipelines

Build Tools

Maven, ANT, Gradle, Eclipse

Containerization Tools

Docker, Kubernetes, OpenShift

Version Control Tools

GIT, Bitbucket, SVN, GitLab, GitHub,

Logging & Monitoring Tools

Nagios, Splunk, ELK, CloudWatch, Azure Monitor, New Relic, Logstash & Kibana (ELK), JIRA.

Scripting & Programming Languages

Python, Bash/Shell, Perl, PowerShell, Ruby,

JavaScript, C, PHP, Java/ J2EE, .Net,

Databases

Oracle 10g/11g/12c, DB2, MySQL, NoSQL (MongoDB, DynamoDB, Cassandra

Application/Web Servers

Apache Tomcat, NGINX, JBoss, WebSphere, Web Logic

Operating Systems

UNIX, Linux, Windows, Solaris, Ubuntu, Debian, Red Hat RHEL, Centos

Virtualization Platforms

Oracle VirtualBox, VMware Workstation, Vagrant, VMware.

Bug Tracking Tools

JIRA, Bugzilla, Remedy, Rallydev.

Scripting

Perl, Python, YAML, Ruby, PHP, Bash, Shell, PowerShell, JSON.

Cloud Services

EC2, ELB, VPC, RDS, IAM, Route53, Cloud Formation, S3Cloud Watch, Cloud Front, Cloud Trail, EBS, SNS, SQS, SWFRDS, Dynamo DB, Subnets, Security Groups, Code DeployCode Pipeline, Code Build, Code Commit and Microsoft Azure, Amazon Web Services (AWS)

Education Details:

Bachelor of Statistics in San Jose State University, CA,2013

Masters of Information Technology in University of Southern California, CA,2015

Certification Details:

Certified Google Cloud Associate Cloud Engineer

Certified AWS DevOps Engineer

Certified Kubernetes Administrator

Certified Red Hat Engineer

Professional Experience:

Kaiser Permanente, CA Dec 2024 – Present

Sr. Cloud DevOps Engineer

Responsibilities:

Migrated on-premises virtual machines to Azure Resource Manager (ARM) Subscription leveraging Azure Site Recovery for seamless cloud adoption.

Utilized ARM templates to architect high-availability SQL server configurations for application back-end infrastructure, coupled with virtual machine front-end scale sets.

Configured Azure WebApps, App Services, Application Insights, Azure DNS, and Azure Network Watcher to streamline cloud operations and monitoring.

Manage DevOps processes to support and optimize workflows across multiple mobile application teams. Design, implement, and maintain CI/CD pipelines for efficient deployment of native mobile applications

Developed and automated Azure Automation Assets, including graphical and PowerShell runbooks, for task automation across various environments.

Deployed Azure AD Connect and configured ADFS authentication flow, providing secure identity management across hybrid environments.

Automated a portfolio of scripts with Azure Automation, including virtual machine provisioning using Desired State Configuration (DSC).

Integrated Azure Stream Analytics to provide real-time data processing and used Azure IoT Hub for telemetry ingestion and asset monitoring.

Deployed Azure IaaS VMs and PaaS role instances into secure VNets and subnets, ensuring proper isolation and security.

Configured Azure Traffic Manager to manage user traffic routing, optimizing application performance across multiple regions.

Led efforts to migrate legacy services to a fully virtualized infrastructure, ensuring scalability and reduced operational overhead.

Utilized Azure Kubernetes Service (AKS) for deploying and managing Kubernetes clusters via the Azure Portal, Azure CLI, and ARM templates.

Orchestrated Kubernetes workloads with YAML files, managing deployments, pods, replica controllers, health checks, and ingress configurations.

Configured Kubernetes load balancer services and migrated network policies from Flannel to Kube-router for enhanced networking and security.

Deployed Prometheus to monitor Kubernetes nodes and clusters, utilizing node-exporter and Kube-state-metrics for resource monitoring.

Integrated Docker and Kubernetes to support a CI/CD pipeline, ensuring reliable build, test, and deployment environments for applications.

Leveraged Terraform to automate Azure IaaS virtual machine provisioning, utilizing modules and templates for efficient infrastructure deployment.

Implemented Infrastructure as Code (IaC) using Terraform, with features like execution plans, resource graphs, and change automation for cloud resources.

Worked with Docker to configure Azure Container Registry and automated deployments using Docker Compose and Kubernetes orchestration.

Developed networking policies for Docker containers and maintained Kubernetes clusters using open-source tools such as Docker Mesos.

Utilized Ansible for infrastructure automation, creating dynamic inventories and playbooks to ensure repeatable, scalable deployments.

Managed configuration automation using Ansible Tower, streamlining deployment processes through role-based access and an intuitive dashboard.

Integrated Ansible with Jenkins to automate continuous integration and deployment, ensuring consistency across environments and systems.

Built and managed Jenkins-based CI/CD pipelines for full-cycle automation, including build, test, package, and deployment processes.

Configured DNS and Akamai for internal server access, and worked on Azure Event Hubs and Splunk Index for efficient log monitoring.

Administered Nexus Repository Manager to maintain build artifacts, ensuring the smooth operation of repository installations, upgrades, and performance tuning.

Created and maintained branching and tagging strategies in Git, coordinating with developers to establish best practices for version control and code management.

Automated continuous integration and deployment pipelines for Azure Web Apps using PowerShell scripts and build/release definitions with triggers.

Developed PowerShell scripts to automate the creation of resource groups, storage accounts, and virtual machines, improving efficiency in cloud resource management.

Wrote Python scripts to automate data import into MySQL, replacing proprietary compiled code with customizable Python solutions for greater flexibility.

Used Jira for comprehensive bug tracking and project management, customizing workflows, permissions, and notifications to manage production environment changes.

Environment: Azure & Cloud Tools: Azure CLI 2.57, Azure AD Connect 2.1.20.0, AKS 1.29, ARM Templates 2024.12, Site Recovery 2024.10, App Insights Traffic Manager 2024.12. Containers & Automation: Kubernetes 1.29, Prometheus 2.50, Terraform 1.7, Ansible 2.16, Tower 23, PowerShell 7.4, Python 3.12.CI/CD & Dev Tools: Jenkins 2.426, Git 2.44, Maven 3.9, Nexus 3.66, Splunk 9.2, MySQL 8.0, 01, IoT Hub.02, Jira.

Omada Health, WA Oct 2023 - Apr 2024

Sr. DevOps Engineer

Responsibilities:

Analyzed and identified connectivity solutions to mainframe systems using open-source tools, ensuring seamless integration with enterprise platforms.

Evaluated and implemented optimal strategies for system integration involving open-source technologies to enhance mainframe communication.

Collaborated with cross-functional teams to assess requirements and deliver efficient connectivity solutions to legacy systems.

Gained in-depth understanding of XL Deploy and XL Release tools to streamline application deployments within CI/CD pipelines.

Integrated XL Deploy and XL Release with Bamboo and Jira to support end-to-end automation of software delivery processes.

Designed and configured CI/CD workflows incorporating XL tools to improve release consistency and deployment speed.

Spearheaded the migration from Configuration Management (CM) tools to Endevor, aligning with modernization initiatives.

Developed and deployed build and test automation pipelines using Bamboo, Selenium, Cucumber, and JUnit for scalable delivery.

Standardized testing frameworks across CI/CD processes, ensuring automated quality checks and faster feedback loops.

Implemented automated build strategies to support agile development and continuous integration practices.

Investigated pipeline job performance issues, diagnosing root causes and optimizing workflows for multi-user environments.

Reduced build and test cycle times by tuning CI/CD jobs and minimizing resource contention across shared infrastructure.

Applied performance benchmarking to identify bottlenecks within the CI pipeline and implemented fixes for scalability.

Led peer meetings to align development goals, share technical insights, and promote knowledge transfer across teams.

Facilitated technical discussions and decision-making to address blockers and ensure project continuity.

Took ownership of project delivery by proactively identifying roadblocks and providing actionable solutions.

Drove project initiatives by engaging with stakeholders and tracking progress to maintain timelines and quality.

Promoted best practices for version control, code review, and automation standards within the DevOps team.

Mentored junior engineers on the use of CI/CD tools, test automation, and troubleshooting techniques.

Coordinated with QA and development teams to ensure smooth transitions through the SDLC phases.

Created documentation for CI/CD processes, tool integrations, and troubleshooting guidelines to support knowledge retention.

Ensured compliance with organizational policies by aligning automation scripts with security and audit requirements.

Conducted root cause analysis for pipeline failures and implemented proactive monitoring for early detection.

Supported end-to-end pipeline improvements through iterative refinements and stakeholder feedback loops.

Actively contributed to continuous improvement initiatives by evaluating emerging tools and proposing innovative automation strategies.

Environment: Bamboo9.5, XLDeploy10.0, XLRelease10.0, Jira9.12, Jenkins2. 426.Selenium4.15, Cucumber7.14, JUnit5.10, TestNG7.9, Postman10.21. Git 2.43, Docker 25.0, Kubernetes 1.30, Maven 3.9, Gradl8.7. Python 3.12, Bash 5.2, Ansible 9.0, Terraform 1.8, Helm 3.14.

Providence Health, OR Nov 2021 – Oct 2023

Cloud Infrastructure Engineer

Responsibilities:

Created and maintained detailed security documentation, including infrastructure diagrams, security policies, and compliance procedures.

Authored 36 technical DevOps wiki articles and comprehensive training materials to promote team knowledge and onboarding efficiency.

Developed interactive user guides tailored to both technical and non-technical stakeholders for improved platform usability.

Designed and implemented CI/CD pipelines using Docker, Kubernetes, Jenkins, GitLab, and Nexus to automate software delivery.

Documented end-to-end CI/CD workflows and container orchestration processes to ensure repeatable and scalable deployments.

Utilized SaltStack and Terraform for configuration management and infrastructure automation across multi-cloud environments.

Built and managed AWS sub-organizations, defining IAM roles, policies, and group strategies to enable secure account segregation.

Implemented IAM configurations to allow secure and auditable cross-account communication between sub-orgs and the master AWS org.

Designed and configured OpenVPN with a DMZ and bastion host architecture for secure remote access to cloud resources.

Developed a secure Linux-based (Ubuntu 14) infrastructure integrated with MacOS endpoints to ensure development environment consistency.

Maintained secure laptop infrastructure on MacOS, ensuring encrypted connections and secure development access protocols.

Leveraged AWS services including Route53, ElasticSearch, ECS, ELB, and CloudFormation for scalable cloud-native application deployments.

Configured and optimized Amazon DynamoDB, Postgres, and ElastAlert for high-performance data storage and real-time alerting.

Managed and monitored AWS infrastructure using Kibana dashboards and CloudWatch integrations to ensure visibility and reliability.

Built alerting and monitoring solutions using Icinga, Redis, and ElastAlert to proactively detect issues across the DevOps pipeline.

Integrated PagerDuty and RingCentral into incident management workflows to streamline notifications and on-call responses.

Configured and maintained Office 365 services in coordination with DevOps tools to support internal communications and operations.

Deployed and maintained secure VPCs and networking configurations for production and staging environments in AWS.

Developed reusable Terraform modules to standardize and accelerate infrastructure provisioning across multiple projects.

Managed secrets and credentials across environments, ensuring secure storage and rotation practices using IAM and encrypted stores.

Built GitLab runners and Jenkins agents on Kubernetes clusters to support dynamic and scalable build environments.

Automated container builds, testing, and deployments using Dockerfiles and Helm charts integrated within CI/CD pipelines.

Collaborated with cross-functional teams to define DevSecOps standards and implement security controls into CI/CD workflows.

Ensured high availability and disaster recovery strategies were in place across cloud services using ELB, snapshots, and multi-region setups.

Conducted performance tuning and log analysis using Kibana and Elasticsearch to identify and resolve system-level issues efficiently.

Environment: Jenkins 2.414, GitLab 16.9, Nexus 3.58, Docker 24.0. Kubernetes 1.28, Helm 3.12, SaltStack 3004, Terraform 1.5.AWS Route53 2024, AWS ElasticSearch 8.10, AWS ECS 2024.AWS CloudFormation 2024, AWS ELB 2024, ElastAlert 2.4.

Green Dot Corporation, CA Jan 2018 -Oct 2021

DevOps Support Engineer

Responsibilities:

Created EBS volume snapshots and Amazon Machine Images (AMIs) to ensure reliable backups and enable consistent EC2 instance launch configurations during disaster recovery and scaling events.

Managed AWS IAM by defining roles, users, and groups, and implemented Multi-Factor Authentication (MFA) to enhance account and resource-level security across the AWS environment.

Configured and maintained AWS Virtual Private Clouds (VPCs), including the setup of subnets, route tables, internet gateways, and NAT gateways to support secure and scalable cloud networking.

Built custom Amazon Machine Images (AMIs) to automate EC2 instance provisioning, enabling dynamic auto-scaling and seamless application deployment using AWS Elastic Beanstalk.

Automated operational tasks using AWS CLI, including the suspension of Lambda functions and backup of ephemeral data stores to Amazon S3 and EBS volumes for disaster recovery purposes.

Employed AWS Lambda with Serverless Framework (serverless.yml) to enforce consistent, repeatable infrastructure deployments across multiple environments, enabling agile DevOps workflows.

Provisioned and maintained S3 buckets with appropriate policy management for secure data storage and integrated Glacier for cost-effective archival and backup solutions.

Leveraged AWS IAM policies to enforce granular access control, ensuring secure and auditable resource usage across development, staging, and production accounts.

Utilized AWS CloudFormation templates to provision and manage infrastructure components such as EC2, Lambda, RDS, DynamoDB, EBS, and ELB in a scalable and automated manner.

Designed and implemented end-to-end DevOps workflows to support application development lifecycle, orchestrating testing, builds, releases, and deployments using Jenkins, Maven, and CloudFormation.

Enabled continuous delivery pipelines by configuring Jenkins with Maven to automatically deploy code to development, QA, and production environments in a reliable and repeatable manner.

Integrated Bitbucket repositories with Jenkins to trigger builds on code commits and implemented CI pipelines to streamline testing and deployment for multiple projects.

Configured code coverage and unit testing tools as Maven plug-ins within Jenkins pipelines, ensuring high-quality code is validated before deployment to production.

Automated weekly releases and deployment workflows using Gradle, compiling Java code, debugging, and publishing artifacts into Maven repositories.

Provisioned and maintained separate EC2-based environments for development, testing, and production to support parallel development streams and ensure deployment isolation.

Developed build automation using Gradle to facilitate environment promotion and integrated with Jenkins pipelines for continuous integration and delivery.

Authored Python scripts to support both declarative and scripted Jenkins pipeline jobs, enabling automation of build, test, and deployment tasks across environments.

Utilized Maven for dependency management and automated deployment of both snapshot and release artifacts to a centralized Nexus repository for cross-team access.

Developed shell scripts to monitor application logs post-deployment, enabling real-time issue detection and automated email notifications to relevant stakeholders.

Implemented Amazon RDS and DynamoDB to support data storage needs of cloud-native applications, optimizing performance and reducing administrative overhead.

Used AWS Elastic Load Balancer (ELB) to distribute incoming application traffic and ensure high availability and fault tolerance for deployed workloads.

Integrated AWS Lambda functions with CloudWatch Events to perform scheduled data processing and trigger automation workflows.

Configured lifecycle rules and versioning in S3 buckets to optimize storage costs and maintain data consistency across environments.

Created and maintained configuration management documentation and templates to ensure standardized deployments and infrastructure compliance.

Collaborated closely with development and QA teams to align CI/CD pipelines with Agile delivery cycles, improving release velocity and reducing time-to-market.

Environment: AWS CLI 2.0–2.277, Jenkins 2.150–2.277, Maven 3.5–3.6.3, Gradle 5.0–6.8, Python 3.6–3.8

Bitbucket Cloud, Nexus Repository3.0–3.30, AWS Lambda, CloudFormation EC2, S3, IAM, VPC, RDS, DynamoDB, ELB, CloudWatch, Serverless Framework 1.40–2.40Git 2.17+, Jira Cloud, Bash scripting, Ubuntu 16.04–20.04, Amazon Linux.

Opus Bank, CA June 2017 – Dec 2018

Junior DevOps Engineer

Responsibilities:

Designed and deployed highly available Elasticsearch clusters across multiple data centers to enable real-time distributed search and log analytics for production-grade applications.

Implemented Logstash collectors across application servers to parse, filter, and forward logs to Elasticsearch, ensuring efficient data ingestion and indexing.

Created dynamic Kibana dashboards for real-time visualization of metrics, trends, and application logs using diverse chart types, tables, and geographic maps.

Installed and configured Kafka clusters, and developed Java-based Kafka producers and consumers to ingest logs from applications and route them to designated Elasticsearch indices.

Engineered Jenkins pipelines to automate continuous integration and deployment workflows across multiple environments, reducing manual errors and improving release velocity.

Oversaw application deployment and infrastructure configuration management using Ansible, ensuring consistent and repeatable provisioning across environments.

Authored Ansible playbooks for the automated installation and configuration of the ELK stack across multiple nodes, standardizing deployment procedures.

Developed shell scripts in Bash to streamline the installation and configuration of Elasticsearch, Logstash, and Kibana on RHEL and CentOS systems.

Managed AWS S3 services by creating and configuring buckets with logging, versioning, tagging, and secure access policies for reliable data storage.

Built scalable, resilient cloud infrastructure in AWS and led migration initiatives to transition multi-tier web applications from on-premises to AWS environments.

Created and managed IAM users, groups, and policies, and automated daily database backup processes to S3 using SQL dumps and AWS CLI scripting.

Deployed Elastic Load Balancers and Auto Scaling groups in production to maintain fault tolerance and high availability across AWS-hosted EC2 instances.

Conducted cluster sizing, hardware planning, and performance tuning while managing Hadoop clusters, ensuring stability and throughput for big data processing.

Built and managed Docker containers by writing Dockerfiles and configuring automated image builds through Docker Hub for development and testing workflows.

Integrated AppDynamics for real-time application performance monitoring and implemented business transaction tracing to detect bottlenecks in production.

Utilized Splunk Enterprise for centralized logging and analysis of machine-generated data, building dashboards to monitor system health and application behavior.

Configured Nginx as a reverse proxy server to enable secure and efficient access to the Kibana web UI for log visualization and monitoring.

Diagnosed and resolved issues in production environments related to software and hardware, ensuring system uptime and optimal application performance.

Deployed and configured MongoDB databases to support various application use cases requiring high-performance NoSQL data storage.

Developed disaster recovery plans using AWS services, including EC2, VPC, IAM, S3, CloudFormation, and Auto Scaling, to ensure business continuity.

Designed serverless architectures using AWS Lambda and API Gateway, reducing operational overhead and improving application scalability.

Configured AWS CloudWatch for log aggregation, metric monitoring, and alerting to proactively manage system health and service performance.

Implemented Amazon RDS and EMR for structured data processing and analytics, optimizing storage and compute resource usage for large datasets.

Managed data warehousing and analytics workloads using AWS Redshift, improving query performance and data retrieval speeds.

Collaborated across DevOps and development teams to align infrastructure automation efforts with application lifecycle management and CI/CD best practices.

Environment: Elasticsearch 6.2, Logstash 6.2, Kibana 6.2, Kafka 1.0Jenkins 2.107, Ansible 2.4, Docker 17.12, Bash 4.4AWS CLI 1.15, EC2, S3, IAM, RDS, CloudFormation 2017 API MongoDB 3.6, Hadoop 2.8, Splunk 7.0, AppDynamics 4.3

Chewy,WA Sep 2015 – May 2017

Systems Administrator

Responsibilities:

Developed PowerShell applications to automate Windows system tasks, streamlining processes and reducing manual intervention.

Wrote shell scripts to automate configuration management and software deployments across Linux distributions, including RHEL, SUSE, and Ubuntu.

Updated software repositories and registered machine MAC addresses in Windows Active Directory to maintain system integrity and user access.

Designed and developed front-end user interfaces using HTML, CSS, JavaScript, and D3.js to create interactive and dynamic applications.

Managed up to 500 Windows machines, executing configuration changes and running shell scripts to deploy software updates across the environment.

Oversaw license key management for enterprise software and maintained user account access and permissions, ensuring compliance with licensing agreements.

Utilized AWS IAM to manage user access privileges, implementing filters to control data access across EC2 instances for enhanced security.

Demonstrated expertise in MySQL database management, optimizing queries and ensuring data integrity across various applications.

Developed Java applications using Eclipse and worked with Scala code in IntelliJ for efficient and scalable application development.

Deployed and managed a 10-node Hadoop cluster, leveraging Cloudera and IBM BigInsights for distributed data processing and analytics.

Monitored Hadoop cluster performance using Cloudera Manager and Ambari, ensuring high availability and operational efficiency.

Designed and implemented IAM policies and groups to manage access control and enforce security best practices within the AWS environment.

Built and configured projects using Maven and implemented MapReduce processing to analyze large datasets in a distributed environment.

Processed and transformed CSV data using Apache Hive for grouping, joining tables, and improving query performance.

Created Windows and Mac OS golden images using Symantec GhostCast, streamlining the deployment of standardized operating environments across machines.

Configured and maintained network protocols including HTTP, TCP/IP, DNS, DHCP, and SMTP to ensure smooth communication and data flow across systems.

Automated system monitoring and reporting tasks through PowerShell scripts, generating logs and sending notifications for critical system events.

Integrated AWS services with on-premises systems, providing a hybrid infrastructure for applications and ensuring seamless deployment.

Implemented continuous integration/continuous deployment (CI/CD) pipelines to automate build and deployment processes using Jenkins and Maven.

Developed custom shell scripts for system maintenance and troubleshooting, improving response times and operational efficiency.

Performed security audits and configured firewalls to protect internal systems and networks from unauthorized access.

Administered and maintained user access rights and privileges within both on-premises and cloud environments using AWS IAM.

Utilized version control systems like Git to manage source code and ensure proper code deployment and rollback strategies.

Coordinated with cross-functional teams to ensure that development, testing, and production environments were consistent and secure.

Worked with virtualization tools like VMware to create and manage virtual machines, optimizing resource utilization and improving scalability

Environment: PowerShell: 5.0 - 5.1, Bash/Shell Scripting: Linux Bash Shell, Windows Active Directory: Windows Server 2012 R2 - 2016, HTML/CSS/JavaScript: HTML5, CSS3, ES5/ES6 JavaScript.D3.js: 3.5 - 4, AWS IAM: 1 - 2, MySQL: 5.5 - 5.7, Eclipse IDE:4.IntelliJ IDEA: 15 - 2017, Hadoop: 2.7 - 2.8, Cloudera Manager: 5.5 - 5.7, IBM Big Insights: 4.Maven: Hive Symantec Ghost Cast: 11, Network Protocols: TCP/IP, HTTP, DNS, DHCP, SMTP.

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