Satish Loka

+1-408-***-****

adx3ja@r.postjobfree.com

Professional Summary

* ***** ** ** ********** as Cloud Engineer, DevOps Engineer, Build & Release Engineer, Linux Administrator, Systems Engineer in SCM, Build/Release Management with Continuous Integration, Continuous Deployment with expertise in Installing, Configuring, Securing, Administration of DevOps Tools like Git, GitHub, Jenkins, Maven, Jfrog Artifactory, Ansible, Chef, Docker, Kubernetes on AWS, GCP, AZURE and on-premise Infrastructure.

Expertise in strategy and practical implementation of AWS Cloud services which include EC2, EBS, S3, VPC, Route 53, RDS, ELB, EMR, ECS, Cloud Front, OpsWorks, Cloud Formation, Elastic Cache, CloudWatch, CloudTrail, RedShift, Lambda, AWS Elastic Beanstalk, SNS, SQS, SES, S3 Glacier, Storage Gateway, Kinesis, Dynamo DB, IAM.

Worked on infrastructure automation of AWS services like AWS EC2, VPC, IAM policies, S3, SQS, SNS, DynamoDB, RDS using Terraform, CloudFormation templates, Python, Bash Scripts and Build automation tools like Maven, ANT and developed the build CI/CD pipeline script using different programming languages Groovy, Shell and Python and secure them with Apache Kafka, Apache Nifi and Agile methodologies.

Performed end-to-end migration plan for migrating Linux, Windows servers and applications into the AWS cloud using AWS Data Pipeline and Implemented ETL process to ingest analytical data stored in S3 into a Redshift data Warehouse cluster using AWS Lambda Microservices.

Orchestrated Docker containers using Docker Swarm, Docker Compose, Docker Hub, Docker Weave, and setup Docker to automate container deployment through Jenkins and Dealt with Docker Hub, making Docker Images and taking care of various Images essentially for middleware establishments.

Experience in Building and deploying the application code using CLI of Kubernetes like kubectl, kubelet, kubeadm, Kubespray and Schedule the jobs using kube-scheduler, Managed K8s charts using Helm and created reproducible builds of the Kubernetes applications and managed Kubernetes manifest files and releases of Helm packages.

Implementing kubernetes auth method to authenticate with HashiCorp Vault using a Kubernetes Service Account Token then integrates Vault token into a Kubernetes Pod and Implemented clusters using Kubernetes and worked on creating pods, replication controllers, Name Spaces, deployments, Services, labels, health checks, Ingress resources and Controllers by writing YAML files and Integrated them using weave, flannel, calico SDN networking.

Wrote Groovy Scripts in Jenkins Pipeline for implementing Continuous Integration, Build workflows and Used Jenkins for uploading Artifacts into JFrog Artifactory, Nexus Repository and worked on Jenkins, for setting up CI for new branches, build automation, plugin management and securing Jenkins and setting up master/slave configuration, integrated various Version control tools, build tools, nexus and deployment methodologies into Jenkins to create an end to end orchestration build cycles, troubleshooted build issues in Jenkins, generated metrics on master's performance along with jobs usage.

Experience in provisioning of IaaS, PaaS Virtual Machines and Web, Worker roles on Microsoft AZURE Classic and Azure Resource Manager (ARM), Deployed Web applications on Azure using PowerShell Workflow.

Expertise on various Azure services like Compute Web Roles, Worker Roles, Caching, SQL, NoSQL, USQL, Network services, Azure Active Directory, Azure Websites, Application Insights, Power BI, Internet of Things (IoT), Azure Monitoring, Key Vault, Visual Studio Online (VSO), Storage, Data Factory, API Management, Scheduling, Auto Scaling, PowerShell Automation and other Azure Services.

Experience in provisioning of IaaS, PaaS Virtual Machines and Web, Worker roles on Microsoft AZURE Classic and Azure Resource Manager (ARM), Deployed Web applications on Azure using PowerShell Workflow.

Worked on Production environment with Google Cloud Platform GCP services like Cloud Functions, Pub/sub requests, Dataflow, BigQuery, DBs, Dataproc, and firewall rules, health checks, instance groups, instance template with extensive knowledge on GKE, Stack-driver, gcloud scripting, containers, GCP client libraries and Cloud SDK.

Worked with Blue-Green Deployment, Deploying Spring Boot App Using PCF CLI and manifest.yml and dealt with logging and troubleshooting in PCF and Worked on Auto Scaling applications based on load as well as deployed multiple instances behind a load balancer using Pivotal Cloud Foundry and used Cloud Foundry CLI to Manage Applications and Services in Cloud, Worked with Manifest Files to Deploy applications to PCF Cloud and Bind Service Instances and Managed Environment Variables for Applications in Cloud.

Working knowledge of Entrust suite of PKI products like Security Manager, Administration Services, Security Manager Proxy, with directory products (LDAP), like Active Directory, PKI-based protocols, SSL and TLS, HTTP, LDAP.

Provided automated, scalable solutions using tools like AWS, Terraform, Kubernetes for end-to-end reliability and scalability of automated deployments and continuous improvement with high availability, high productivity.

Wrote Ansible Playbooks to automate various deployment tasks and worked on Ansible Roles, Ansible inventory files and Ansible Galaxyand used Ansible Tower dashboard, role-based access control, access to Ansible for deployments.

Good Hands-on experience in continuous Integration tools such as Jenkins, bamboo, and Hudson for automating the build processes and implemented CI and CD processes using AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline, Jenkins Pipelines, Elastic Beanstalk and experience using Terraform along with packer to create custom machine images and automation tools like Chef, Ansible to install software's after the infrastructure is provisioned.

Worked with AWS Secrets Manager to protect secrets, easily rotate, manage, and retrieve database credentials, API keys, OAuth tokens and used Cloudwatch for monitoring AWS cloud resources and the applications that deployed on AWS by creating new alarm, enable notification service and monitored stats from all services in AWS solutions.

Deployed and managed applications to monitor cloud infrastructure security and intrusions and performed initial incident triage, determine scope, urgency, and potential impact of security incidents and strong familiarity with Host Based Security Products like Symantec, Trend Micro and remote access solutions - Terminal Services, and authentication solutions - LDAP and standard network services - DNS, SMTP, IMAP or POP3, network equipment Checkpoint, Juniper, Cisco (IOS and ASA).

Experience in defect management systems Remedy, OTRS, JIRA, Service now, Rally and Knowledge on testing frameworks Junit, Selenium, big data components kafka, Hadoop, Spark, and Confluence for Documentation

Experience in working on web servers like APACHE HTTP server, NGINX, Apache TOMCAT and application servers like Web logic, Tomcat, WebSphere, IIS, JBOSS to deploy code and Experience in Installation, configuration, and management of RDBMS MySQL, DB2 and NoSQL tools PostgreSQL, Cassandra, and MongoDB.

Experienced in using log and infrastructure monitoring tools like Splunk, Dynatrace, Nagios, New Relic, Datadog, ELK (Elasticsearch, Log Stash, and Kibana) to see logs information, monitor & get the health & security notifications from nodes and created monitors, alarms & notifications for EC2 hosts using CloudWatch.

Able to work in a team as well as ability to work independently with reliability and integrity.

Technical Skill Set

Cloud : Microsoft Azure, Amazon Web Services, PCF, OpenStack

Container Tools : Docker Swarm, Kubernetes, EC2 Container Services,Azure Container Services,

OpenShift

Configuration Management : Chef, Ansible, Puppet, SaltStack

Version Control Tools : GIT, GITHUB, SVN, Perforce, Bitbucket

Web and App. Servers : JBOSS, Apache Tomcat, Web Sphere, Web Logic, Nginx, Send Mail

Monitoring Tools : Nagios, Splunk, Dynatrace, ELK, Datadog, Grafana, New Relic

Bug Tracking Tools : JIRA, ServiceNow, Bugzilla, HP ALM, Confluence, Rally, IBM ClearQuest

Build Tools : Maven, Ant, Gradle

Continuous Integration : Jenkins, Bamboo, Hudson

Scripting Languages : Shell, Ruby, Python, PHP, Perl, JavaScript, PowerShell, JSON, YAML

Languages : C, C++, Core Java, J2EE

Database : MySQL, Oracle, Dynamo DB, Mongo DB, Cassandra

SDLC : Agile, Scrum, Waterfall Methodology

Repository Management : Nexus, JFrog, Artifactory

Virtualization : VMware ESX/ESXi, Windows Hyper-V, Power VM, Vagrant, Virtual box, Remote

Connection Desktop Manager

Operating System : Red Hat, Ubuntu, Debian, Fedora, CentOS, Windows, Solaris, Mac OS

Networking Protocols : TCP/IP, DNS, NFS, ICMP, SMTP, DHCP, OSPF, BGP, UDP and RIP

Education Qualifications:

Master of Science from Northwestern Polytechnic university, CA, USA.

Bachelor of Technology from JNTU, India.

GE Healthcare, Hoffman Estates, Illinois Dec 2015 – Present

DevOps/Sr Build And Release Engineer

Roles and Responsibilities:

Working with 15 Hospitals Developing, Deploying, Supporting, Monitoring, Configuring, Managing the Tiles in the Hospitals.

Automated GE - Internal environment there by reducing the deployment time, manual work, human error and speed up the build and deployment process with integrating GitLab, Jenkins and Maven, Jfrog Artifactory, Docker.

Created builds and release pipelines in VSTS and worked on deployments using SPN secure endpoint connection for implementing CI/CD and worked on automation for deployments by using YAML scripts for massive builds and releases and deployed the services by VSTS Azure DevOps pipelines.

Configured Continuous Integration from source control, setting up build definition within Visual Studio Team Services (VSTS) and configured continuous delivery to automate the deployment of ASP.NET MVC applications to Azure web apps and managed Azure Active Directory, Office 365 and applied upgrades on a regular basis.

Created Azure Automation Assets, Graphical runbook, PowerShell runbook, deployed Azure AD Connect, configuring Active Directory Federation Service (AD FS) authentication flow, ADFS installation using Azure AD Connect, and involved in administrative tasks that include Build, Design, Deploy of Azure environment.

Deployed Azure Cloud services (PaaS role instances) into secure VNets, subnets and designed Network Security Groups (NSGs) to control Inbound & Outbound access to Network Interfaces (NICs), VMs & subnets.

Served as the lead PowerShell developer in hundreds of Windows based migration and automation projects and created automated solution using Windows PowerShell to manage the backup of the primary file server and programmatically notify the administrator via email of the backup’s success or failure.

Experience in creating ARM templates for Azure platform and in migrating on premise to Windows Azure using Azure Site Recovery and Azure backups and created and configured HTTP Triggers in the Azure Functions with Application insights for monitoring and performing load testing on the applications using the VSTS.

Created and Maintained MS Azure Cloud Infrastructure and Virtual Network between MS Azure Cloud and On-premise network for backend communication and expertise in deploying Azure AD connect, configuring ADFS installation using Azure AD connect and Handled migration of on-premises applications to the cloud and created resources inside cloud and expert in deploying of OpenStack hosted applications on Azure platform and resolve issues related to RDP of Azure Infrastructure.

Worked on Setting up and configuring pipelines to build, test, deploy code to Azure functions, and integrate with other Azure services like Cosmos DB, EventHub, and worked on configured build chaining, multi-phased builds, test integration, release gates, reporting, and notifications.

Worked on Azure based PaaS & SaaS services like Data Lake, Azure AD, SQL DW, Machine Learning, Data Factory and managed Microsoft Azure environments VM’s, NSG’s, Resource Groups with Windows administration.

Worked on migrating SQL server database to SQL Azure data base using SQL Azure migration wizard and working knowledge on Azure Fabric, Micro services, IoT & Docker containers in Azure.

Worked with Red Hat OpenShift Container Platform for Docker and Kubernetes, Used Kubernetes to deploy scale, load balance, scale, and manage Docker containers with multiple namespace versions.

Involved in managing Private Cloud and Hybrid cloud configurations and practices in Windows Azure, SQL Azure, Azure Web and Database deployments and heavily involved in buildout, migration, monitoring and support of azure environment for the organization by developing and enhancing PowerShell scripts, and Dynatrace.

Worked on Container management using Docker by writing Docker files and set up the automated build on Docker Hub and written Docker Compose file for multi container provisioning and Makefile file to build, run, tag and publish a docker container to Azure Container Registry.

Deployed configuration management and provisioning to AWS using Packer-Docker and Terraform, involved in auto-mated deployment of EBS on to the AWS Cloud ec2 instance server and automated the complete deployment environment on AWS.

Hands-on Experience with Docker for convenient environmental setup for development and testing, Installed Docker Registry for local upload and download of Docker images and even from Docker hub.

Integrated Docker container-based test infrastructure to Jenkins CI test flow and set up build environment integrating with Git and Jira to trigger builds using Webhooks and Slave Machines.

Implementing clusters using Kubernetes and worked on creating pods, replication controllers, Name Spaces, deployments, Services, labels, health checks, Ingress resources and Controllers by writing YAML files. Integrated them using weave, flannel, calico SDN networking.

Implemented Spring boot microservices to process the messages into the Kafka cluster setup on the QA and Production environments, used Kibana and Elastic search to identify the Kafka message failure scenarios.

Written Ansible playbooks which is the entry point for Ansible provisioning, where the automation is defined through tasks using YAML format and run Ansible Scripts to provision Dev servers and created playbooks for deployments and bug fixes with Ansible, deployed and tested playbooks in Docker containers before pushing changes in Git.

Automated Datadog Integrations through Ansible Scripts for QA, Regression and Prod environments and set up Datadog dashboard and alerts with the stack through Terraform Scripts and Integrated Datadog in Jenkins pipeline.

Worked in all areas of Jenkins setting up CI for new branches, build automation, plugin management and securing Jenkins and setting up master/slave configurations.

Extensively Deploying the software updates to different Environments like Test, Staging, Pre-Prod, Production with terraform and Hands on experience with Installing, Configuring, Monitoring RabbitMQ Message broker- HL7 messages and worked on Deploying a Dockerized Rabbit MQ in OpenShift to use auto-scaling capabilities of OpenShift with a RabbitMQ cluster.

Build dynaTrace dashboards and reports and helped teams to build their own dashboards On-boarded new applications into dynaTrace, and worked on profile configuration, agent setup, instrumentation, Diagnose, troubleshoot, and resolved dynaTrace issues, implemented timely upgrade to dynaTrace system, Performed dynaTrace upgrades in environments including production and Integrated Jira with Dynatrace to generate Incidents from Dynatrace and deployed new Dynatrace architecture at disaster recovery site & automated provisioning repetitive tasks using Terraform and Python.

Troubleshoot production issues, and execute problem resolution through post-issue evaluations, root-cause analysis, Log analysis and remediation and Documented operational procedures, change controls and Automated DN notes to Keep a Track in Confluence and Supported the set up and maintenance of mission-critical software production environments to ensure reliable deployment of scheduled and ad-hoc software releases.

Manage, monitor 450 Servers, and set up automated scripts for installation of software’s, configuring Infrastructure and experience supporting single sign on authentication using LDAP on Linux, Windows environment.

Worked on Java, Sprig boot Framework, MySQL for resolving the issues related to coding and Configuration, monitoring alerts triggering, Supported Apache, Tomcat, and generated SSL keys to renew SSL certificates on webservers and created Bash, shell and python scripts for various Systems Administration tasks to automate repeated processes and Involved in Bug-scrub, Scrum meetings to discuss about the bugs and make appropriate decisions, product backlog and other scrum activities in collaboration with the team.

Environment: Azure (Web Roles, Worker Roles, SQL Azure, Data Lake, Azure AD, SQL DW, Machine Learning, Data Factory and NSG’s, Azure Storage, Resource Groups, Office365, RBAC), OpenStack (Kilo/Liberty), AWS (EC2, EBS, S3, VPC, Route 53 (DNS), ECS, CloudFormation, RDS, Dynamo DB, SNS, SQS, IAM), RabbitMQ, Terraform, Ansible, Docker, Kubernetes, Maven, Jenkins, GIT, Python, Jira, Dynatrace, Confluence.

CVS, Chicago, Illinois July 2015 – Dec 2015

DevOps Engineer

Roles and Responsibilities:

Working on various Functional Aspects like Development, Automated testing, Deployment, Infrastructure, with project teams on different applications on hybrid Cloud environment to ensure continuous operation of Build, Test, Security, Release.

Expertise in AWS Services like EC2, IAM, lambda, Elastic Container Service(ECS), EKS, CloudFront, S3, Route 53, VPC, ELB, Autoscaling, CloudWatch, CloudTrail, RDS, Dynamo DB, Redshift, API gateway, SQS, SNS, Kinesis, SES and other services.

Worked a lot on Terraform modules to create and deploy infrastructure like S3 and DynamoDB as backend, custom-sized VPC, subnets, route tables as Networking and Deployed EC2 instances, ELB, security groups for deploying Jenkins as a cluster of Jenkins Master and slave nodes using ECS service.

Implemented CI/CD pipeline for Developer team and configured Jenkins, to deploy code, and generate test reports according to the requirements of Developers and worked with Git hooks, and pool of plugins to make the Jenkins flexible, extendable for building, deploying and automating code across various platforms.

worked on Docker to package an application with its dependencies into a standardized unit for Development and created custom docker images, tagging, and pushing the images to ECR required for AWS batch and AWS Fargate deployments and automated the installation of Plugins using a Dockerfile and Plugins.txt file.

Worked on setting up Rancher orchestrator, to manage Kubernetes everywhere it runs, worked with Rancher CLI.

Expert level experience in a Hadoop administration, performed Hadoop and performance tuning.

Migrated an existing on-premises application to AWS and used AWS services like EC2 and S3 for small data sets processing and storage, Experienced in Maintaining the Hadoop cluster on AWS EMR and imported data from AWS S3 into Spark RDD, and performed transformations and actions on RDD's.

Hands on experience in AWS Cloud in various AWS services such as Redshift cluster, Route 53 domain configuration and on demand secure EMR launcher with custom spark submit steps using S3 Event, SNS, KMS and Lambda function with extensive knowledge of working on apache Airflow.

Created, Administered, Maintained Multiple Kubernetes clusters in Production and worked with modifying cluster endpoint access, and deployed the cluster autoscaler by adding node group IAM policy, auto scaling group tags, and viewed the cluster autoscaler logs using Kubectl, eksctl commands and used Console to enable/disable control plane logs to CloudWatch as per the requirement and created the kubeconfig file to installed the aws-iam-authenticator on Linux system as apart of Authentication

Deployed Prometheus, and used it for configuring, monitoring, setting up alerts and deployed multiple dashboards for individual applications in Kubernetes to view and analyze what cluster is doing.

Installed and run the Helm binaries, manage charts using the Helm CLI and worked with Helm package manager to install and manage applications on Kubernetes cluster.

Provided Systems Administration support for various AWS services and established, contributed and maintained system security standards, Lambda, AWS Firewall, Security Hub, IAM Configuration Experience, IAM Service Control Policies (SCP), IAM Users, Roles, and Security Policies, AWS SSO, AWS Service Endpoint Policies (S3, EBS, Route 53) and Worked on analyzing pattern requirements, created user stories, sub-tasks, distribute story points, expected hours for the subtasks on JIRA and developed Python and shell scripts for automation of the build and release process.

Implemented VPC peering connection to access the entire CIDR block of the peer VPC without any restriction, AWS client API to interact with different services as Console configuration for AWS EC2 and used AWS Lambda to manage the servers and run the code in the AWS and designed the data models to be used in data intensive AWS Lambda applications which are aimed to do complex analysis creating analytical reports for end-to-end traceability, lineage, definition of Key Business elements from Aurora, worked on Multiple AWS accounts- Experience working with Cross account access and worked on assigning different roles to users using Terraform based on the providers.

Designed and hosted cloud solutions using Azure PaaS services such as App Services, Azure functions, AKS, Cosmos DB, Event Bus, Event Hub and Worked with Event driven architecture using Azure Service Bus, Azure Event Hubs, Event Grid, Messaging technologies like JSON, XML for hosting Highly Available, Resilient and Scalable solutions on Azure for environments like Dev, QA and PROD.

Handled migration of on premises applications to cloud, and used Snowflake which provided unlimited storage capacity, cloud-scaling and low-cost storage pricing needed for data lake for migrating Azure data sets and worked on running the Snowflake SaaS Data Warehouse and created resources in cloud to enable this and expert in deploying of OpenStack on Azure platform and handling issues related to RDP of Azure Infrastructure.

Worked with Azure Kubernetes Service to provision fully managed clusters with automatically configured monitoring capabilities based on Prometheus and used Azure Advisor to optimize Kubernetes deployments and Elastically added compute capacity and deployed only validated images to private container registry by dynamically enforcing the guardrails defined in Azure Policy as a part of CI/CD workflows and Automated threat detection and remediation using advanced analytics from Azure Security.

Used Jenkins and pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, created Pods and managed using Kubernetes and created Advanced Jenkins Pipeline with Jenkins Pipeline Scripted Syntax to Trigger Other Remote Jobs on Other Jenkins Masters and Automated the deployment of Java and .Net applications with the use of Jenkins.

Deployed JAR and J2EE applications on Apache tomcat server using Jenkins for auto deployment and Worked with development, testing teams to create fully automated CI/CD Pipelines using AWS and Jenkins with groovy scripting, bash to implement pipeline to create Jenkins jobs and Setup Continuous integration with Jenkins and worked with multiple plugins available to setup smooth developer friendly workflows and educated developers on how to commit their work and how can they make use of the CI/CD pipelines that are in place.

Created alarms and trigger points in CloudWatch based on thresholds, monitored the server's performance, CPU Utilization, disk usage, utilized AWS CloudWatch service to monitor environment for operational, performance metrics.

Developed, maintained deployment pipelines for more than 10,000 clients and Deal with Production issues and configured Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds and maintained the CI Jenkins server, played a key role in converting 600+ existing Jenkins jobs into the new pipelines.

Setup and maintained automated environment using Chef Recipes within AWS environment, and Installed Workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks and uploaded them to Chef Server, Managed On-site OS Applications, Services, Packages using Chef as well as AWS for EC2, S3 & ELB with Chef Cookbooks.

Worked with Elasticsearch for index management, shared allocation and snapshot the data to a different repository for disaster recovery, log stash for data parsing extracted values from text messages and dealt with the increase of load on the log stash servers and to restrict access to certain info in Kibana, used role based access and designed an ELK system to monitor and search enterprise alerts and configured ELK stack in conjunction with AWS and using Logstash to output data to AWS S3 and terminated SSL on to Nginx to remove overhead on API servers.

Extensively Deployed the software updates to different Environments like Test, Staging, Pre-Prod, Production and troubleshoot production issues, execute problem resolution through post-issue evaluations, root-cause analysis, Log analysis, remediation and worked on setting up configurations in Load balancers, Clusters in the Production environment.

Trained the new hired and Various developers about various deployment processes and Provided L3 support to direct customers and handle calls from customers when on on-call rotation shift.

Environment: AWS (EC2, EBS, S3, VPC, Code Deploy, Code Commit, Elastic search, Lambda, API Gateway, Route 53 (DNS), ECS, CloudFormation, RDS, Dynamo DB, SNS, SES, SQS, IAM, RedShift, Ops Works), Terraform, Rancher, Maven, Chef, Maven, Docker, Kubernetes, Jenkins, GIT, Python, ELK, Jira, Azure Migrations, AKS, Azure DevOps Pipelines.

Unikon IT, Houston, TX Jan 2015 – July 2015

Build & Release Engineer

Roles and Responsibilities:

Managed and Administrated AWS CLI, EC2, VPC, S3, ELB Glacier, Route 53, Cloudtrail, IAM, and Trusted Advisor services and created automated pipelines in AWS CodePipeline to deploy Docker containers in AWS ECS, EKS using services like CloudFormation, CodeBuild, CodeDeploy, S3.

Involved in designing and developing Amazon EC2, Amazon S3, Amazon RDS, Amazon Elastic Load Balancing, Amazon SQS, and other services of the AWS infrastructure.

Deployed application which is containerized using Docker onto a Kubernetes cluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS) and configured ‘Kubectl’ to interact with Kubernetes infrastructure and used AWS Cloud Formation Templates (CFT) to launch a cluster of worker nodes on Amazon EC2 instances.

Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Jfrog Artifactory, Oracle database templates, Web applications and created scripts in Python which integrated Amazon API to control instance operations and coordinated and assisted developers with establishing and applying appropriate branching, labeling conventions using GIT source control.

Worked on JIRA for defect logging & tracking and documented all my work using Confluence and Integrated services like GitHub, AWS CodePipeline, Jenkins, and AWS Elastic Beanstalk to create a deployment pipeline.

Installed Docker Registry for local upload and download of Docker images and from Docker Hub and created Docker files to automate the process of capturing and using the images and defined a multi-container application in a single file, span the application up in a single command using Docker Compose.

Experience in deploying, and monitoring of microservices on various platforms like AWS ECS, Kubernetes and developed Kubernetes Pod definitions, deployments and used Helm Charts to version control complete deployment strategies and configured aggregation of Cloud Trail logs across AWS accounts and region into singe S3 bucket to perform security analysis, track changes to AWS resources, trouble shoot operational issues and to demonstrate compliance with internal policies and regulatory standards.

Experience in Azure IaaS, PaaS, Provisioning VM's, Virtual Hard disks, Virtual Networks, Deploying Web Apps and creating Web-Jobs, Azure Cosmos DB, Active Directory, Azure Windows server, Microsoft SQL Server, Microsoft Visual Studio, Windows PowerShell, Cloud infrastructure and Upgraded and Migrated web applications to latest .Net framework versions and used Azure Snowflake, Azure Databricks and designed, developed standalone data migration applications to retrieve and populate data from Azure Table / BLOB storage to on-premise SQL Server instances.

Worked with Systems Analysis, Design, Dev, Implementation of various web and Client/Server Applications development using Microsoft .NET Framework, C#.NET, ASP.NET with expertise in Visual Studio .Net environment, Microsoft .Net Framework and Worked on ASP.NET, toolkit Controls and strong programming experience with web technologies like HTML JavaScript, ASP.NET, Web services.

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

Assigned RBAC Roles using

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