Naresh Neo Dagra

About Naresh Neo Dagra

Over 12+ Years of professional work experience as Linux Admin, Build & Release/DevOps Engineer with AWS Cloud platform experience with mentoring skills and good understanding of the principles. Experienced in Continuous Integration, Continuous Deployment/Delivery integration pipelines. Experienced with Interpreted languages including Perl and Python Understands Compiled languages including C, C++, C#, Dot Net and JAVA. Strong use of Shell scripting languages including BASH for Linux and Mac platforms and PowerShell for Windows systems. Facility with development methodologies including Waterfall, Scrum, Kanban, Agile, and hybrid. Excellent configuration management utilizing Puppet, Chef and Ansible Manage Amazon Redshift clusters such as launching the cluster and specifying the node type as well. Experienced in Configuration Management, Cloud Infrastructure, and Automation utilizing Amazon Web Services (AWS), Ant, Maven, Jenkins, Chef, SVN, Git, GitHub, Clear Case and Tomcat. Developed Python modules to automate processes in AWS (AWS Cloud Formation) Expertise in installing, configuring and managing Web Logic, Apache, VMWare Server in clustered environments for High Availability, Load balancing and fault tolerant. Transfer data from Datacenters to cloud using AWS Import/Export Snowball service. Collaborated with cross-functional teams Security, Networking, Database, and Unix — to design and implement resilient, highly available, and scalable cloud and hybrid solutions. Built custom Docker containers to extend SageMaker functionality for specialized ML frameworks and libraries. Designed and deployed scalable machine learning models in AWS SageMaker for predictive analytics and AI-driven insights. Designed highly available, cost effective and fault - tolerant systems Build security utilities and tools for internal use that enables Engineers to operate at high speed and wide scale. Expertise in Application Deployments & Environment configuration using Chef, Puppet. Expertise in writing Automation scripts in Selenium using C Sharp, Dot NET, and Java. Extensive experience in Linux/Unix system Administration, System Builds, Server Builds, Installations, Upgrades, Patches, Migration, Trouble shooting on RHEL 4.x/5.x Experience in Querying RDBMS such as Oracle, DB2, MY SQL and SQL Server by using SQL for data integrity. Developed and automated Databricks workflows for data ingestion, ETL, and machine learning pipelines.

Experience

1. Sr Devsecops Engineer

   Verizon

   Oct 2022 — Present · Basking Ridge, NJ, US

   Implemented container orchestration using Kubernetes and Docker, supporting auto-scaling, CI, and zero-downtime rolling updates.• Introduced GitOps workflows using Flux CD, Helm Charts, and Kustomization to streamline deployment automation across environments.• Supported Superintendent teams by improving deployment reliability, enforcing policy controls, and strengthening cloud governance.• Standardized change-management processes and led migration from SVN to Git; used Nagios, Artifactory, Zabbix, AppDynamics, Splunk for monitoring.• Automated DWC deployments through CI/CD pipelines to cut manual effort and reduce risk.• Built CI pipelines using uDeploy, writing Linux, UNIX, Perl, and Shell scripts for multi-environment deployments; monitored EC2.• Created and managed Chef cookbooks, recipes, and node convergence schedules; automated AWS environments.• Configured Nagios and Puppet for EC2 monitoring; deployed applications to AWS with Chef and managed Chef Workstation, Server, and Nodes.• Built automated CI frameworks with Jenkins, Chef, Maven, Nexus on Linux; integrated Git, Confluence, Jira and AWS CodeDeploy.• Delivered containerized workloads using Docker and Kubernetes; automated builds with SVN, Maven, Visual Studio; supported deployments on OpenStack.• Partnered with stakeholders to deliver secure, efficient cloud solutions and helped scale Infrastructure Automation.• Integrated SageMaker with Lambda, API Gateway, S3 for end-to-end ML lifecycle.• Applied RBAC and IAM policies to secure Databricks workspaces and notebooks.• Managed Git, Bitbucket, SVN via CLI for branching, merging, and release workflows.• Used Terraform to automate AWS VPC provisioning and environment updates.• Designed and optimized Databricks clusters for performance and scale.• Used ALB/NLB with Route 53 for EC2 health checks, routing, and load balancing.• Championed DevOps, CI/CD, IaC, GitOps, and automated cloud operations to improve release speed and reliability.

Education

• Fitchburg State University

  Master of Science - MS, Data Science