SUMMARY

• Well - qualified innovative professional with 10+ years of progressive experience in DevOps and Data Science, managing infrastructure for applications with millions of users. Worked on various cloud environments with clients from Finance and Banking, Health Care and Tele-communications.
• Data Scientist, Machine learning and data Engineering experienced working with vast data sets to break down information, gather relevant points and solve advanced business problems;skilled in predictive modeling, data mining and hypothetical testing. experience inCloud (Azure, AWS, GCP),DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). I can implement effective strategies for N - Tier application development in bothCloud and On-premisesenvironments. Experience in dealing withUnix/Linux and Windowsserver administration.
• Expertise in Architecting and ImplementingAzure ServiceOffering, such asAzure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor,Azure Sentinel, and Azure Service Bus.
• Build and Deployed batch processing Micro services
• Hands on experience on Backup and restoreAzureservicesand in Design and configureAzure 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.
• Expertise in AzureScalabilityand AzureAvailability- Build VMs availability sets using theAzureportal to provide resiliency forIaaSbased solution andVirtual Machine Scale Sets (VMSS)usingAzure Resource Manager (ARM)to managenetwork traffic.
• Hands on experience in GCP services like EC2, S3, ELB, RDS, SQS, EBS, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation GCPConfig, Autoscaling, Cloud Front, IAM, R53.
• Proficient with container systems likeDockerand container orchestration likeEC2 Container Service,Kubernetes, worked withTerraform.
• ManagedDocker orchestration and Docker containerizationusingKubernetes.
• UsedKubernetesto orchestrate the deployment, scaling and management of Docker Containers.
• Proficient inPython, Shell Scripting, SQL, build utilities like open make,ANTand Cruise Control.
• Played a key role in automating the deployments on AWS usingGitHub,Terraform,Puppet,ChefandJenkins.
• Experience in creating Task definitions, which specifies the tasks, Resource allocation (Fargate), services and docker image on which application is built for Elastic Container Service and ALB.
• Kubernetes, Amazon EKS, Docker, Amazon ECS, AWS Fargate, Spot Instances, AWS Lambda, Step Functions, AWS App Mesh, AWS Cloud Map, Amazon ECR, AWS X-Ray, Amazon CloudWatch, Istio, Jaeger, Docker Swarm, Consul
• Experience in Design and perform system management, database management, configuration management. deep troubleshooting, preventative and corrective maintenance, performance monitoring and enhancement.
• Familiarity with a broad portfolio of AWS infrastructure resources (EBS, S3, EC2, Elastic IP, Redshift, EMR, Route 53, VPC, Security Groups and Network ACLs)
• Experience in using version controller tools like Subversion (SVN), GIT, IBM Clear case UCM and PVCS.
• Extensively worked on Hudson, Jenkins and Team City for continuous integration and for End to End automation for all build and deployments.
• Deep knowledge of IaaS platform (s) like AWS, Azure, and VMWare.
• Experienced in Provisioning of IAAS & PAAS concepts of cloud computing and Implementing using, Aws, Azure, Google Cloud Platform understanding the principles of (SCM) in Agile, Scrum and Waterfall methodologies.
• Manage the Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft Azure Storage - Storage accounts, blob storage, managed and unmanaged storages. Responsible of web application deployments over cloudservices (web and worker roles) on Azure, using VS and PowerShell.
• Developed Agile processes using Groovy, JUnit to use continuous integration tools Worked for designing and creating a Micro services delivery platform Initiative.
• Exposed to all aspects of software development life cycle (SDLC) such as Analysis, Planning, Developing, Testing, and Implementing, Post-production analysis of the projects.
• Ability to build deployment, build scripts and automated solutions using various scripting languages such as Shell, PowerShell, Python, Ruby.
• Hands on with IBM Sterling Commerce 8.5 to 9.2.
• Created and wrote shell scripts (Bash), Ruby, Python and PowerShell for automating tasks.
• Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process.
• Good understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape.
• Experience building infrastructure as code. Ss
• Hands-on experience migrating Oracle, SQL Server instances to AWS RDS (Oracle to Oracle migration, Oracle to Postgres migration, Oracle to MySQL)
• Experience with deploying configuration management and CI/CD services such as (Puppet, Ansible, Powershell, Jenkins, Vagrant, Docker, JIRA, CloudFormation, Elastic Beanstalk)
• Strong experience with the following technologies: Linux administration, Linux scripting (python, bash), MySQL, Postgres SQL, Microsoft Windows Server OS, Microsoft SQL, Microsoft Active Directory, Microsoft Remote Desktop Services, Citrix XenApp, VMWare virtualization, Backup Software
• Expert level experience with AWS DevOps tools, technologies and APIs associated with IAM, CloudFormation, AMIs, SNS, EC2, EBS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, etc.

TECHNICAL SKILLS

Operating System: Linux, Windows

Languages: Core Java, Shell Scripting, HTML and Python

Public Clouds: AWS, Azure, IBM SoftLayer and Google Cloud Platform

Amazon Web Services Skills: EC2, EBS, S3, IAM and VPC

Azure: Virtual Machines, Vnet, Azure AD DS, ACS, Traffic Manager, Application Gateway, API Management, Redis Cache, MYSQL, Key vault, Azure Automation, Azure DNS, Application Insights, Log Analytics, CDN, Data Warehouse, HDInsight, Blob Storage, Data Lake Store and Data Lake Analytics.

DevOps Tools: GIT, Spinnaker, BitBucket, Jenkins, Puppet(Basics), IBM UrbanCode Deploy and Blueprint, Terraform, Maven, Artifactory, Jira, Confluence and Crowd

Monitoring Tools: Nagios and Sensu

Data Analysis: Statistical analysis, descriptive and inferential statistics, prediction analytics which includes linear regression, variable/feature selection and model building, Principle Component Analysis (PCA), Discriminant Analysis (Linear/Quadratic), data cleaning and data wrangling

Other Tools & Technologies: Microservices, Forgerock (OpenAM), WSO2, API connect (Bluemix), Containers and Kubernetes and Hadoop-hive(Basics)

PROFESSIONAL EXPERIENCE

Azure/Devops Engineer

Confidential, Cherry Hill, New Jersey

Responsibilities:

• Developed PowerShell scripts and ARM templates to automate the deployment of resources such as storage accounts, application gateway etc.
• Developed and designed Azure DevOps pipeline to manage the resources across multiple subscriptions.
• Automated techniques to initiate backup of storage accounts
• Collaborated with various teams on the project for ongoing operations
• Worked with the development team to resolve issues during the deployment
• Functional and expertise knowledge in Azure services, keyvault database, storage accounts, Azure Sentineland app gateway.
• Author of various documents regarding new features developed in the project.
• Create and troubleshoot Azure AD Connect with On-premises AD.
• Design and deploy Azure password protection Infrastructure for all domains in the environment.
• Built SiteMinder Policy servers, Web Agents and implemented policies on various web servers.
• Create and troubleshoot Domain Trust and conditional trusts with On-prem/Cloud domains.
• Promote Active Directory Domain Controllers, DNS and DHCP servers according to client/application requirement.
• Implement, administer, and troubleshoot TCP/IP-based services, including DNS, DHCP, HTTP, FTP, SSH, SMTP and other infrastructure components.
• Plan and design Datacenter/Co-Location/Cloud move for Prod/Dev/Test servers.
• Configure and troubleshoot Group Policy objects for users and computers in the domain.
• Configure Azure conditional policies for users and computers in the domain.
• Create and troubleshoot Azure AD Connect with On-premises AD.

DevOps/Cloud Engineer/Azure

Confidential, Westpoint, Pennsylvania

Responsibilities:

• Configured end-to -end platform for the application to run such as traffic manager, application gateway, APIM management, Vault, Databases, Kubernetes cluster etc. on azure cloud using terraform
• Configured Nginx ingress controller in Kubernetes cluster.
• Designed and deployed fully automated no touch DevOps CICD framework using Jenkins and spinnaker
• Configured SSL/TLS automation job to renew the certs and install on the components such as application gateway, apim, Kubernetes etc.
• Simulated the blue green deployments using Spinnaker.
• Ensured 100% of all project documentation was created and updated, including design, development, and deployment documentation
• Managed Cloud environments, automation, monitoring metrics, disaster recovery/backups, and capacity planning
• Configured dashboards and alerts and actively took part in production incident troubleshooting trigae.
• Collaborated with team to do assist the cloud migration, partially done a POC to securely transfer data migration.
• Wrote Kafka producers to stream the data from external rest APIs to Kafka topics.
• Worked on Microsoft Azure (Public) Cloud to provide IaaS support to client and created Virtual Machines through Power Shell Script and Azure Portal.
• Manage and Create Storage Account and Affinity Group in Azure Portal.
• Deployed VM's, Storage, Network and Affinity Group through PowerShell Script.
• Created Storage Pool and Stripping of Disk for Azure Virtual Machines. Backup, Configure and Restore Azure Virtual Machine using Azure Backup.
• Captured Backup to cloud Storage Account using Cloudberry Cloud Storage Tools and configured Site to Site VPN Connectivity.
• Configured Window Failover Cluster by creating Quorum for File sharing in Azure Cloud.
• Convert existing Virtual Machine from Standard to Premium Storage Account. Patching and validating of Virtual Machine in Azure.
• Monitored Azure Infrastructure through System Center Operation Manager (SCOM).
• Client Interaction over the Phone or Emails to provide instant response. Extensively created stored procedures, functions, Triggers, indexes and Views.
• Troubleshooting Azure VM connectivity, Azure Application and Azure Subscription related to the issue as per user request.
• Created Cosmos scripts which pulls data from upstream structured streams and include business logic to meet the requirements.
• Deploy Infrastructure using ARM templates for Azure PaaS services with deployment tools such as Octopus and VSTS.
• ARM Template development for IaaS, and PaaS deployments. Azure Resource Management and automation with Octopus and PowerShell. Linked template deployments and updating Resources with ARM templates.
• Implementing Cyber Security Standards for Security Level 4.
• Deployed Cloud controls, Cloud Governance and Azure Security.

R&D Team

Confidential, Denver, Colorado

Responsibilities:

• Study existing technology landscape and understand current application workloads
• Understand and document technical requirements from clients to prepare for the RFP
• Have explored the multiple DevOps tools such as integration, monitoring, security tools and done POC on them
• Have done multiple POC’s about no touch DevOps flow using open-source tools on multiple cloud platforms and demonstrated for the clients such as Global Payments, IBM
• Perform Assessment and Migration strategy to move various applications workloads to AWS/Azure
• Design architectural blueprints and detailed documentation
• Designed, built, and deployed a multitude of applications utilizing the AWS stack (Including EC2, R53, S3, RDS, SNS, and IAM), by focusing on high- availability, fault tolerance, and auto-scaling with the Terraform and packer.
• Configured and deployed GIT repositories with branching, forks, tagging, merge requests and notifications.
• Automated weekly releases with Maven and gradle scripting for compiling Java Code, debugging and placing Builds into Maven Repository.
• Experienced in authoring pom.xml files, performing releases with Maven release plugins and managing artifacts in Maven internal repository.
• Implemented VMware ESX server to provide multiple virtual hardware platforms while keeping hardware costs and energy consumption down.
• Designed and setup CI/CD pipeline to deploy containerized applications in the cloud.
• Involved in installing Jenkins on Linux environment and implemented a Master and Slave configuration to run multiple build operations in parallel.
• Deployed and monitored Micro services using pivotal cloud foundry, also managed domains and routes with the cloud foundry. Worked in using Dockers Swarm and deployed spring boot applications.
• Design an ELK system to monitor and search enterprise alerts. Installed, configured and managed the ELK Stack for Log management within EC2 / Elastic Load balancer for Elastic Search.
• Used SonarQube for continuous inspection of code quality and to perform automatic reviews of code to detect bugs. Managing AWS infrastructure and automation with CLI and API.
• Working on Inbound and Outbound services with automation of Chef.
• Utilize AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups.
• Working on Micro services for Continuous Delivery environment using Docker and Jenkins.
• Worked on Ansible for configuration management and infrastructure automation. Also, created inventory in Ansible for automating continuous deployment and wrote playbooks using YAML scripting.
• Installed Docker using Docker Toolbox and worked on creating the Docker containers and Docker consoles for managing the application life.
• Experience in writing & managing Ansible Scripts using Linux automated deployments using Ansible.
• Built and managed a large deployment Ubuntu Linux instances system with Ansible Automation.
• Used Ansible to manage Web Applications, Config Files, Database, Commands, Users, Mount Points and Packages.
• Collaborated in the automation of AWS infrastructure via terraform, deployed micro services, including provisioning AWS environments using Ansible Playbooks.
• Created Docker container images by tagging and pushing the images and worked on the infrastructure using Docker containerization.
• Supported AWS Cloud environment with 2000+ AWS instances configured Elastic IP and Elastic storage deployed in multiple Availability Zones for high availability.
• Working with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.

Data Analyst

Confidential, NJ

Responsibilities:

• Developed database objects, including tables, views and materialized views using Power BI. Increased the visibility of daily tasks and sales progress through dashboards for employee involvement and efficiency
• Built automation script using Qualcomm API and Python BeautifulSoup to scrape data from social network and other websites.
• Exchanged data with SQL database and NoSQL database such as MongoDB
• Conducted Big Data analytics using HadoopMapReduce.
• Generated data-driven reports, data visualization using Tableau
• Designed front end and backend of the application using Python on Django Web Framework.
• Used HTML, CSS, AJAX, JSON designed and developed the user interface of the website.
• Developed views and templates with Django view controller and template Language to create a user-friendly website interface.
• Used JavaScript and JSON to update a portion of a webpage.
• Develop consumer-based features using Django, HTML and Test-Driven Development (TDD).
• Developed Python web services for processing JSON and interfacing with the Data layer.
• Used GIT version control and deployed project.

Environment: Used: Python, Power BI, Beautiful Soup, Html,SQL, NoSQL, Mongo DB, Hadoop, Map Reduce, Tableau, Django, Ajax, JSON, Git.

Machine Learning Engineer

Confidential

Responsibilities:

• Conducted data mining, data modeling and statistical analysis to investigate and study demand and capital of client products and provide ongoing reports
• Utilized Python and Spark to implement different machine learning algorithms including OLS, Generalized Linear Model, SVM, Random Forest, Boosting and Neural Network.
• Designed a predictive model using Kernels, KNN, SVM and CNN for detecting birds through satellite imagery with 97% accuracy. This model was used by a non-profit research organisation to detect birds at seashores.
• Used Python Flask framework to build modular & maintainable applications.
• Implemented and modified various SQL queries and Functions, Cursors and Triggers as per the company requirements.

Environment: Used:Python, Pandas, NumPy, Spark, Sk-Learn, Data Mining, Data Modelling, Statistical Analysis, OLS, SVM, KNN, CNN, Random Forest, Power BI, Beautiful Soup, SQL, NoSQL, Mongo DB, Flask,Hadoop, Map Reduce, Tableau, Django, Ajax, JSON, Git.

Data Analyst

Confidential

Responsibilities:

• Conducted the Data extraction from multiple sources and performed the data cleaning and data analysis for the human resources team in the organization.
• UsePythonunit and functional testing modules such asunit test,unittest2,mock, andcustom frameworksin-line withAgile Software Developmentmethodologies.
• Manage datasets usingPanda data framesandMySQL. Queried MySQL database frompython usingPython-MySQLconnector andMySQL dBpackage to retrieve information.
• Hands on Experience with parallel computing, multithreading and experience with JSON based REST Web services.
• Environment Used:Python, Pandas, NumPy, Data Extraction, Data Analysis, Statistical Analysis, Unit test, pyTest, MySQL, JSON, REST API.