Srivatsav raju

DevOps Engineer

adzac7@r.postjobfree.com

214-***-****

Professional Summary:

* ***** ** ******* **********, skilled DevOps, AWS, Azure Build/Release and as a python developer too.

Strong base knowledge on Software Development Life Cycle (SDLC). In depth knowledge about Agile, Scrum and Waterfall methodologies.

Competence in designing AWS cloud models for Infrastructure - as- a-Service (IAAS), Platform-as-a-Service (PAAS) and Software-as-a-Service (SAAS).

Excellent experience in working with Jenkins for continuous integration and for End-to-End automation for all build and deployments.

Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, and Traffic Manager.

Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets.

Knowledge of containerization technologies like Docker, LXC/LXD, and containers.

Familiarity with container orchestration tools like Kubernetes, Docker Swarm, and Mesos.

Installation, Maintenance, Administration and troubleshooting of Linux, Windows Servers performed automated installations of Operating System using kick start for Linux

Experience in implementation of python web frameworks like Django, Flask and Python Servlet Engine(PSE)

Developed Python and Get shell scripts for automation of the build and release process.

Worked with Ansible playbooks for virtual and physical instance provisioning, configuration management, patching and software deployment.

Experience setting up Azure Migrate and ASR servers using OVF templates in the On-premises vCenter host.

Design, build and manage the ELK (Elasticsearch, Logstash and Kibana) cluster for centralized logging and search functionalities for app

Complete infrastructure as code done Ansible related K8 Cluster, deployments, pods, services, and replication factor.

Experience in Object Oriented Design and Programming concepts in Python

Implemented microservices, application development and migration using AWS/AZURE services Such as Azure DevOps, AKS Azure Kubernetes, Container Registry, Cosmos DB, and Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS and Kubernetes API to run workloads on EKS Clusters

Experienced in Using Splunk, AppDynamics, Dynatrace, Nagios, IBM Monitoring tools(TAM)

Configured and managed Windows Server 2019/2012 infrastructure including Active Directory, DNS, DHCP, and Group Policy.

Experienced using different log monitoring tools like Splunk, ELK (Elastic Search, Log Stash, Kibana) for to see logs information and monitor and get the health and security notifications from nodes.

Hands on experience working with databases such as Oracle, SQL, MySQL, Oracle, Mongo DB

Implemented microservices, application development, migration AWS/Azure services such as Azure DevOps, Kubernetes Services (AKS), Container Registry, Cosmos DB, Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS and Kubernetes API to run workloads on EKS clusters

Technical Skills:

DevOps Tools

Chef, Docker, Kubernetes, AWS, Azure, Jenkins, Ansible, OpenShift.

Scripting Languages

Unix Shell Scripting, Python

Monitoring Tools

Nagios, Splunk, Prometheus, Grafana

Build Tools

Ant, Maven, Gradle

Version Controls

SVN, CVS, GIT, Bitbucket, TFS

Cloud Services

AWS, Azure

Repositories

Nexus, Artifactory

Application/Web Servers

Tomcat 6.0/7.0, Web Logic 9.0/10.0, JBoss, Web sphere 6.0/ 7.0/ 8.0, Apache, Nginx

Databases

Oracle, MySQL, SQL, SQL Server

Operating Systems

Red Hat Enterprise Linux 5.x/6.x/7.x, SUSE 10/11/12, UBUNTU, Windows NT/XP/2003/2008/2012.

Network Protocols

DHCP, Ethernet, TCP/IP, HTTP, HTTPS, AND FTP

Professional Experience:

CVS Pharmacy, Scottsdale, AZ JAN 2020 to JAN 2023

Azure DevOps Cloud Engineer/Azure Kubernetes Administrator

Responsibilities:

Created Recommendations on How to duplicate a subset of on-premises machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included synchronize on-premises data with SQL Server and Share Point Instances hosted in VM’s.

Designed and developed RESTful APIs using Django and Django Rest Framework for web and mobile applications.

Built scalable and efficient database models and queries using Django ORM, PostgreSQL, or other relational databases.

Used Azure DevOps, Github actions and Octopus to build CI/CD Pipelines

Integrated automated tests in continuous integration as code using Terraform for nightly consignments run scripts.

Worked on migration of data from On-prem SQL to Cloud databases (Azure Synapse Analytics (DW) & Azure SQL DB)

Have Good experience with analytics Azure BLOB and loading data into Azure SQL Synapse (DW)

Experience with CI working (Continuous Integration) and CD (Continuous Deployment) methodologies using Azure DevOps, Jenkins, Gitlab-CI, GitHub Actions

Strongly experience on CI/CD Tools Azure DevOps, GitHub Actions deploy applications

OpenShift Point team player for creating new projects, services for load balancer and adding them to route to be accessible from outside, trouble shooting pods through ssh and logs, modification of builds configs, templates, image streams, etc

Managing OpenShift cluster that includes scaling up and down the aws app modes.

Had very strong exposure using ansible automation in replacing the different components of OpenShift like ECTD, Master, App, infra, Clusters

Enterprise Container Services, and today using AWSFaregate, Implemented Microservices framework with Spring boot, Node.js and OpenShift containerization platform

Created Chef cookbooks to manage and configure infrastructure components in the Microsoft Azure cloud environment.

Served as team Sr. PowerShell developer in hundreds of windows-based migration and automation projects

Authored several scripts leveraging VM Ware’s PowerShell CLI and Windows PowerShell to aid the capacity planning and monitoring of the virtualization infrastructure

Based on provided OU and Group Policy design strategy implemented scalable automation using Windows PowerShell for creating the AD Structure for new sites and locations, allowing for significantly increased efficiency and accuracy

Improve over all AD Replications health by developing an automated process using power shell to ensure that the organizations site-link topology was consistent with intended design, resulting in stable and efficient replication environment.

Created lightweight custom monitoring solution using Windows PowerShell to monitor which include nightly best practice Analyzer scans, and an aggregated DCDIAG Scan generated every few hours and sent by ot as Simple summary of all over health of AD Domain controllers

Developed scripts with Windows PowerShell to automatically configure network settings and vm kernels ports ESxi Servers including multipathing policy, Storage LUNS and MTU Size for both the Switch and vm kernals port, making the attachments of server profiles optional for non-clustered VM Hosts

Worked on OpenShift master platform in managing Docker containers and Kubernetes Clusters and Created Kubernetes clusters using ansible playbooks(Launch instance deploy-docker.yml, deploy-kubernetes.yml) on exoscale

Used Cookbooks to automate the deployment and configuration of virtual machines, storage accounts, and other Azure resources.

Managed server virtualization using Hyper-V, creating and maintaining virtual machines for production and testing environments.

Administered Microsoft Exchange Server, including installation, configuration, and maintenance of mailboxes, message routing, and email security.

Implemented security measures such as firewalls, access controls, and encryption to ensure the security of the Windows Server infrastructure and applications.

Configured and maintained Windows Server updates and patches, ensuring that the infrastructure and applications were up-to-date and secure.

Managed server storage, configuring and maintaining disk volumes, RAID arrays, and storage pools to ensure optimal performance and reliability.

Deployed and managed remote access solutions such as VPNs and Remote Desktop Services, providing secure remote access to company resources.

Developed and maintained PowerShell or Bash scripts for automating routine infrastructure management tasks.

Troubleshooting Network, memory, CPU, swap, and file system issue, TCP/IP, NFS, DNS, SMTP Linux Servers

Setup and configured TCP/IP Network on Linux

Familiarity with Azure Functions and AWS Lambda for serverless computing in both Azure and AWS environments.

Mange corporate SSL/TLS Keys via Venafi PKI(public key infrastructure) Software

SSL purchasing, implementing and hardening against known vulnerabilities on Linux and Windows servers

SSL process for windows and Linux servers

Developed Kubernetes resources for confidential Helm chart to enable creation of SSL Certifications for ingress resources

Azure DevOps and AWS Code Pipeline for building and deploying applications across both cloud platforms

Proficient in using Azure PowerShell and AWS CLI for automating cloud operations and maintenance tasks across both cloud platforms.

Azure Active Directory (AAD) and integrating AAD with AWS Identity and Access Management (IAM) for managing user access and permissions across both cloud platforms

Created Chef a number of built-in resources that used to manage Azure resources, such as the azure_storage_account and azure_virtual_machine resources.

Configured and managed or AWS cloud infrastructure to support .NET applications, including virtual machines, load balancers, and databases.

Implemented a server less arch using API Gateway lambda, Dynamo DB and deployed AWS Lambda code from Amazon S3 Buckets. Created a Lambda Deployment function, configured it to receive events from your S3 bucket

Created a Lambda Deployment function and configured it to receive events from S3 Buckets

Deployed AWS Lambda code from Amazon S3 Buckets

Configured Azure Multi-Factor Authentication MFA as a part of Azure AD Premium to securely authenticate MFA users and worked on creating custom Azure templates for quick deployments and advanced PowerShell scripting. Deployed Azure SQL DB with GEO Replication Azure SQL DB Sync to standby database in another region & fail over configuration.

Knowledge of Kubernetes networking and service discovery concepts such as pods, services, and endpoints.

Developed Cookbooks and tested using a test-driven development (TDD) approach, involved writing automated tests to validate the behavior of recipes and resources in the Azure environment.

Experience in using Kubernetes tools like kubeadm, kubectl, and minikube to deploy, manage, and scale applications in Kubernetes clusters.

Ability to create and manage Kubernetes objects such as pods, services, deployments, and volumes using YAML files

Worked on Serverless services, created and configured HTTP Triggers in the Azure Functions with Application Insights for Monitoring and Performing Load Testing on the applications using Azure DevOps Services using AWS

Installed Prometheus and Grafana using Helm to monitor the application performance in Kubernetes cluster.

Proficient in setting up and configuring Kubernetes clusters from scratch.

Familiarity with Kubernetes architecture and components such as etcd, API server, controller manager, scheduler, and kubelet.

Worked as an Oracle OCI - C, MS-Azure Cloud Engineer and Data Administrator

Worked on ELK Stack and used it for analyzing the logs from different applications.

Created Python and Bash tools to increases efficiency of call center application system and operation, data conversion scripts, REST, JSON AND CRUD Scripts for API Integration

Deploying windows Kubernetes (K8s) Clusters with Azure Container Service from CLI, Store in repository (ACR) and Utilized Kubernetes and Docker for runtime env of CI/CD System to build, test and Octopus Deploy

Wrote Python code embedded with JSON and XML to Produce HTTP GET request, Parsing HTML Data from Websites

Skilled in monitoring server using Nagios, Data dog and using ELK Stack Fluent Kibana

Created AKS Clusters with basic and advanced networking where Basic Networking Model called Subnet which default configuration when creating AKS Cluster and K8’s Cluster is completely separate from Azure network and On-Prem network Suitable if you’re deploying in Isolation Environment.

Strong understanding of YAML syntax and structure, including the use of key-value pairs, indentation, lists, and variables.

Developed and maintained SQL scripts and procedures to automate routine database administration tasks, such as indexing and performance tuning.

Hands on Experience on Backup and restore Azure Services and in Design and configure Azure Virtual Networks (VNets), Subnets, Azure network settings, DHCP address blocks, DNS Settings, Security policies and routing. Azure cloud services, Blob storage, Active Directory, Azure Service Bus, Cosmos DB

Managed and Monitored the server and Network infrastructure using AppDynamics, Splunk. Performed system administration and operations tasks using Jenkins.

Used Splunk data Connector between Splunk Enterprise and Relational database

Implemented CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), GitHub, Azure Container Service, Whenever a new TFS/GitHub branch gets started, Jenkins our Continuous Integration(CI) Server, automatically attempts to build a new Docker Container from it

Designed and implemented database security measures, such as role-based access control (RBAC)and encryption, to protect sensitive data from unauthorized access.

Implemented automated testing using tools like pytest and unit test to ensure code quality and prevent regressions.

Worked with Kubernetes security features such as RBAC, PodSecurityPolicies, and Network Policies.

Implemented monitoring solutions such as Azure Monitor or New Relic to track the performance and health of .NET applications and infrastructure.

Worked with Terraform Templates to automate the Azure IAAS Virtual machines using terraform modules and deployed Virtual Machines Scale Sets in Production Env

Witten Templates for Azure Infrastructure as Code using Terraform to build staging and production environments. Integrated Azure Log Analytics with Azure VM’s for Monitoring Log Files, store them and tract metrics and Used Terraform as tool, Managed different infrastructure resources cloud, VM ware and Docker Containers.

Worked on OpenShift for container orchestration with Kubernetes Container Storage, automation to enhance container platform multi tendency also worked on with Kubernetes architecture and design troubleshooting Issues and Multi-Region deployment models and patterns for large scale applications

Worked with DevOps teams to automate database deployment processes using tools such as Jenkins, or Azure DevOps.

Written Ansible handlers with multiple tasks to trigger multiple handlers and decouple handlers from their names, making it easier to share handlers among Playbooks and roles

Managed Kubernetes charts using Helm, Created reproducible build of Kubernetes applications, managed Kubernetes Manifest Files to build Docker images form all java jar files

Familiarity with containerization technologies like Docker and containerized and container orchestration tools like Docker Swarm and Mesos.

Maintained Artifacts in binary repos using JFrog Artifactory and pushed new Artifacts by configuring the Jenkins project Jenkins Artifact Plugin

Involved in Jira as defecting tracking system and configure various workflows, customizations, and plugins for jira bug/issue tracker and in GitHub

Worked with Nagios for Azure Active Directory & LADP and data consolidation for LDAP users. Monitored system performance using Nagios, maintained Nagios server and added new services & servers.

Environment: Azure, office 365, Terraform, Windows Server 2019/2012, Maven, Azure Synapse, OpenShift, Jenkins, Ansible, Azure Arm, Azure Synapse, Azure AD, Azure Site Recovery, Kubernetes, Splunk, Python, Ruby, XML, Shell Scripting, Power Shell, Nexus, JFrog Artifacts, Jenkins, Git, Jira, GitHub, Ansible, Docker, Windows Server, VSTS, LDAP, Nagios.

Intuit, Fredericksburg, VA 2018 OCT – 2019 NOV

AWS Cloud Engineer/ DevOps Engineer

Responsibilities:

Installed Kubernetes cluster including Kubernetes (K8) master and nodes. Configured etcd, kube-apiserver, kube-scheduler, kube-controller-manager in K8 master and as well configured docker, Kublet, kube-proxy, flannel in K8 nodes

Worked on OpenShift master platform in managing Docker containers and Kubernetes Clusters and Created Kubernetes clusters using ansible playbooks(Launch instance deploy-docker.yml, deploy-kubernetes.yml) on exoscale

Managed OpenShift master, nodes with upgrades, decommission them from active participate by evacuating the nodes and upgrading them

Experience with CI (Continuous Integration) and CD (Continuous Deployment) methodologies using Azure DevOps, Jenkins, Gitlab-CI, GitHub Actions

Worked on RedHat OpenShift Container platform for Docker and Kubernetes. Used Kubernetes to deploy scale, load balance, scale and manage Docker Containers with multiple namespace versions

Deployed DockerizedRabbit MQ in OpenShift so that we might use auto scaling capabilities of OpenShift with a Rabbit MQ Clusters

Configured K8 POC Using bare metals, VMware, AWS AND Azure using Ansible Playbooks

Configured and managed AWS cloud infrastructure to support .NET applications, including virtual machines, load balancers, and databases

Architecture and Implemented K8 Cluster in such a way that horizontals scaling nodes is achieved to handle the high load on the K8 Cluster.

Created deployments for various microservices and associated load balancer inside K8 Cluster

Implemented automated testing using tools like pytest and unittest to ensure code quality and prevent regressions

Developed and maintained documentation for database architecture, configuration, and deployment processes.

Participated in the planning and implementation of disaster recovery and business continuity strategies for SQL Server database

Integrated third-party APIs and services such as AWS S3, Stripe into Django applications to enable additional functionality.

Ability to create and manage custom resource definitions (CRDs) in Kubernetes, which allow defining custom objects and APIs in Kubernetes clusters.

Experience in using Helm, a package manager for Kubernetes, to install and manage complex applications on Kubernetes clusters.

Developed and maintained Django applications in a distributed, microservices architecture using containerization tools like Docker and Kubernetes.

Understanding of Kubernetes API extension mechanisms such as Custom Resource Definitions (CRDs), Custom Controllers, and Webhooks.

Implemented & maintained the branching and build/release strategies utilizing Subversion /GIT.

Served as team Sr. PowerShell developer in hundreds of windows-based migration and automation projects

Authored several scripts leveraging VM Ware’s PowerShell CLI and Windows PowerShell to aid the capacity planning and monitoring of the virtualization infrastructure

Based on provided OU and Group Policy design strategy implemented scalable automation using Windows PowerShell for creating the AD Structure for new sites and locations, allowing for significantly increased efficiency and accuracy

Improve over all AD Replications health by developing an automated process using power shell to ensure that the organizations site-link topology was consistent with intended design, resulting in stable and efficient replication environment

Created lightweight custom monitoring solution using Windows PowerShell to monitor which include nightly best practice Analyzer scans, and an aggregated DCDIAG Scan generated every few hours and sent by ot as Simple summary of all over health of AD Domain controllers

Developed scripts with Windows PowerShell to automatically configure network settings and vm kernels ports ESxi Servers including multipathing policy, Storage LUNS and MTU Size for both the Switch and vm kernals port, making the attachments of server profiles optional for non-clustered VM Hosts

Working on Clusters maintained and data migration from one server to other and upgrade ELK Stack

Experience in managing and deploying infrastructure using YAML-based configuration files, including AWS CloudFormation templates, Docker Compose files, and Kubernetes manifests.

Strong analytical and problem-solving skills with the ability to identify and troubleshoot defects in YAML scripts.

Worked on Jenkins for Continuous Integration and Deployment and configured Splunk for monitoring.

Troubleshooting Network, memory, CPU, swap, and file system issue, TCP/IP, NFS, DNS, SMTP Linux Servers

Setup and configured TCP/IP Network on Linux

Created AWS RDS and DynamoDB databases, performed monitoring and restoring of AWS RDS and DynamoDB databases. Performed migration of Microsoft SQL Server, MariaDB, PostgreSQL to RDS and Mongo DB, Cassandra to DynamoDB

Installed, Configured and managed MongoDB servers and performance tuning of MongoDB Databases

Created additional Docker Slave Nodes for Jenkins, using custom Docker Images and pulled them to the ECR and monitored using Prometheus. Worked on all major components of Docker like, Docker Daemon, Hub, Images, Registry and Docker Swarm.

Used AWS Lambada to run servers without managing and trigger to run code by S3 and SNS

Working on Splunk monitoring tool all the Kubernetes Clusters for efficient cluster visibility, proactive monitoring and triggering actions

Used Ansible and Ansible tower as configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages changes

Created Ansible Playbooks for various Env for release and re-write puppet modules into Ansible playbooks

Importing groups variables and host using AWX manage inventory import through Ansbile Tower Cli

Used Azure DevOps, GitHub actions and Octopus to build CI/CD Pipelines

Designed and maintained database using Python and developed based API RESTFul Web Services using Flask, SQL Alchemy and postgreSQL

Created highly available and scalable infrastructure in AWS cloud by using various AWS services like EC2, VPC, Security Groups, Network ACL, Auto scaling, ELB, RDS, Cloud Watch, Route53, S3, IAM, Elastic Bean Stalk, EBS, SNS, SQS, ECS.

Deployed Infrastructure As Code (IAAS) Leveraging Cloud Formation templets with EC2 instances, ELB, Launch Configurations, Auto Scaling Groups & S3 Buckets in multi AZ and multi region HR and DR purposes.

Configured and deploy AWS Lambda Service to run codes in response to events and automatically manage resources.

DevOps role converting existing AWS infrastructure to server less Arch (AWS Lambda, Kensis) deployed via Terraform and AWS Cloud formation.

Experience Elastic search, log stash and Kibana (ELK) for centralized logging and then store logs and metrics into S3 bucket using Lambda Functions

Wrote and maintained application for day to day use for the company using Python and Django that store client data into database in JSON format

Reproducible builds of the Kubernetes applications, Managed Kubernetes manifest files and helm packages and implemented Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple namespaces.

Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling Kubernetes AWS infrastructure and Microservices Container orchestration.

Created and Maintained Docker Files in Source Repository build images and ran containers for Microservices applications like ECS and OpenShift.

Worked with security teams to implement security measures such as SSL/TLS encryption, firewalls, and RBAC to protect .NET applications from cyber threats

Created Python and Bash tools to increases efficiency of call center application system and operation, data conversion scripts, REST, JSON AND CRUD Scripts for API Integration

Using AWS Lambda, running scripts/code snippets in response to events occurring in AWS Cloud and maintaining it.

Used Kubernetes to manage containerized applications using its node, Configs Maps, Selectors, Services and Deployed Application container as pod

Configured Chef Cookbooks, recipes for Upgrading the Linux kernel, installing and managing Java versions and managing persistent SSH tunnels.

Installed and configured the Nexus repository manager for sharing the artifacts within the company. Created proxy nexus repositories to speed up the build process.

Implemented continuous deployment system with Jenkins, AWS Code Deploy, Ops Works and monitored the infrastructure using AWS Cloud Watch.

Installed, configured and updated LDAP, DNS, DHCP, NFS, NIS+ on Red Hat Linux and IBM AIX servers.

Efficiently used Project Management Tools like Bugzilla and JIRA.

Developed Bash/ Python scripts to automate the troubleshooting on AWS platform based on the alerts provided by the AWS SNS.

Experienced in integrating Jenkins with Docker container using Cloud bees Docker, Kubernetes pipelines plugin and EC2 instance using Amazon EC2 Plugin

Environment: AWS services (EC2, VPC, Security Groups, Network ACL, Auto scaling, ELB, RDS, Cloud Watch, Route53, S3, IAM, Elastic Bean Stalk, EBS, SNS, SQS), Windows 8/12, RHEL 5.x/6.x, Jenkins, GIT, MAVEN, ANT, Puppet, Chef, Splunk, JIRA, Bugzilla, Nagios, Prometheus, Web Sphere, Ansible, Nexus, Python, YML scripts, PowerShell.

Thomson Reuters, Egan, Minnesota 2016 JUNE – 2018 AUG DevOps Engineer/Azure Cloud Engineer

Responsibilities:

Created detailed documentation of complex build and release process, post release activities process, JIRA workflow and Release notes.

Optimized the performance and scalability of .NET applications by profiling and tuning code, database queries, and caching mechanisms.

Used Azure DevOps, Github actions and Octopus to build CI/CD Pipelines

Integrated automated tests in continuous integration as code using Terraform for nightly consignments run scripts

Strongly experience on CI/CD Tools Azure DevOps Github Actions deploy application.

Worked on migration of data from On-prem SQL to Cloud databases (Azure Synapse Analytics (DW) & Azure SQL DB)

Have Good experience with analytics Azure BLOB and loading data into Azure SQL Synapse (DW)

Implemented monitoring solutions such as Azure Monitor or New Relic to track the performance and health of .NET applications and infrastructure.

Worked with security teams to implement security measures such as SSL/TLS encryption, firewalls, and RBAC to protect .NET applications from cyber threats

Setup AZURE Virtual Appliances (VMs) to meet security requirements as software-based appliance functions (firewall, WAN optimization and intrusion detections).

Experience with CI (Continuous Integration) and CD (Continuous Deployment) methodologies using Azure DevOps, Jenkins, Gitlab-CI, GitHub Actions

Experience in Private Cloud and Hybrid cloud configurations, patterns, and practices in Windows AZURE and SQL AZURE and in AZURE web and database deployments.

Worked as an administrator on Microsoft AZURE and part of DEVOPS Team for internal projects automation and build configuration management. Involved in configuring virtual machines, storage accounts, and resource groups.

Served as team Sr. PowerShell developer in hundreds of windows-based migration and automation projects

Authored several scripts leveraging VM Ware’s PowerShell CLI and Windows PowerShell to aid the capacity planning and monitoring of the virtualization infrastructure

Based on provided OU and Group Policy design strategy implemented scalable automation using Windows PowerShell for creating the AD Structure for new sites and locations, allowing for significantly increased efficiency and accuracy

Improve over all AD Replications health by developing an automated process using power shell to ensure that the organizations site-link topology was consistent with intended design, resulting in stable and efficient replication environment

Created lightweight custom monitoring solution using Windows PowerShell to monitor which include nightly best practice Analyzer scans, and an aggregated DCDIAG Scan generated every few hours and sent by ot as Simple summary of all over health of AD Domain controllers

Developed scripts with Windows PowerShell to automatically configure network settings and vm kernels ports ESxi Servers including multipathing policy, Storage LUNS and MTU Size for both the Switch and vm kernals port, making the attachments of server profiles optional for non-clustered VM Hosts

Configured VM's availability sets using AZURE portal to provide resiliency for IaaS based solution and scale sets using AZURE Resource Manager to manage network traffic.

Azure Virtual Networks (VNets), Subnets, Azure network settings, DHCP address blocks, DNS Settings, Security policies and routing. Azure cloud services, Blob storage, Active Directory, Azure Service Bus, Cosmos DB

Exposed Virtual machines and cloud services in the VNets to the Internet using External Load Balancer.

Troubleshooting Network, memory, CPU, swap, and file system issue, TCP/IP, NFS, DNS, SMTP Linux Servers

Setup and configured TCP/IP Network on Linux

Strong analytical and problem-solving skills with the ability to identify and troubleshoot defects in YAML scripts.

Experience in using YAML to manage environment-specific configuration files, such as database credentials, API keys, and secrets.

Best Practices when Writing Container-Enabled Roles in Ansible.

Developed program connecting Bitbucket issues and to do list tasks to update each other.

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