SUMMARY

• I am an AWS \ DevOps architect specialized in cloud network design strategy. As a DevOps engineer, I work on application deployment, development, migration, CI/CD pipelines and infrastructure automation with the use of CI/CD tools: Docker, Kubernetes, Puppet, Chef, Jenkins and Vagrant.
• Approximately 7 years of experience in System/Infrastructure/Cloud Computing/AWS DevOps/Build & Release Management and Network Administration.
• 5+ years of AWS \ DevOps experience in IT Infrastructure.
• 4 Years of Migration & automation scripting using Python, Java, PowerShell, Batch &JSON.
• 3 Years on cloud development, deployment & migration experience.
• 4 years’ experience on Migrating application to AWS & Azure environment.
• Wrote python scripts to manage AWS resources from API calls using BOTO SDK and also worked with AWS CLI .
• Strong experience in automating Vulnerability Management patching and CI/CD using Chef and other tools like Git Lab, Jenkins, and AWS/Open Stack .
• Hands - on Experience in configuration of Network architecture on AWS with VPC, Subnets, Internet gateway, NAT, Route table .
• Responsible for ensuring Systems & Network Security, maintaining performance and setting up monitoring using Cloud Watch and Nagios .
• Experience working on version controller tools like GitHub (GIT), Subversion (SVN) and software builds tools like Apache Maven, Apache Ant.
• Experience in Automating, Configuring and deploying instances on AWS, Azure environments and Data centre, also familiar with EC2, Cloud watch, Cloud Formation and managing security groups on AWS.
• Experience in AWS services & Build/Release Management such as SVN, GIT, Maven, Jenkins, Chef, Puppet, Docker and as AWS DevOps operations as Virtual Private Cloud (VPC), Cloud Formation, Cloud Front, EC2, RDS, S3, Python, Java, Power Shell, Route53, SNS, SQS, Dynamo DB, LAMBDA, Java, and Microsoft Azure.
• Hands-on experience with databases ( MySQL, MongoDB, MSSQL ) creating users, performing dump/restore and taking automated snapshots.
• Experience in PKI enterprise infrastructure & security on cloud.
• Experience creating and updating the Various PowerShell Scripts for windows, Active Directory, Azure AD and o365.
• Expert in Active Directory Setup and troubleshooting for any deleted objects and AD Recycle Bin.
• All phases of data warehouse development lifecycle, from gathering requirements to testing, implementation, and support.
• Exceptional background in analysis, design, development, customization, and implementation and testing of software applications and products.
• Expert in utilizing ETL tools, including SQL Server Integration Services (SSIS), Data Transformation Services (DTS), and DataStage and ETL package design, and RDBMS systems like SQL Servers, Oracle, and DB2.
• Ability to develop efficient data models as well as optimize databases for various software projects.
• Knowledge on MS SQL Server and other relational database, No SQL database systems, DB2 and Oracle, windows, and LINUX operating systems.

PROFESSIONAL EXPERIENCE

Confidential - Texas

AWS\ DevOps architect

Responsibilities:

• Architecting and configuring secure cloud VPC using private and public networks through subnets in AWS.
• Management and Administration of AWS Services CLI, EC2, VPC, S3, ELB Glacier, Route 53, Cloud trail, IAM, and Trusted Advisor services.
• Created automated pipelines in AWS Code Pipeline to deploy Docker containers in AWS ECS using services like AWS APP MESH, CloudFormation, Code Build, Code Deploy, S3 and puppet .
• Worked on JIRA for defect/issues logging & tracking and documented all my work using CONFLUENCE .
• Integrated services like Git-Hub, AWS Code Pipeline, Jenkins and AWS Elastic Beanstalk to create a deployment pipeline.
• Good Experience in architecting and configuring secure cloud VPC using private and public networks through subnets in AWS.
• Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users with the help of AWS IAM .
• Included security groups, network ACLs, Internet Gateways, and Elastic IP's to ensure a safe area for organization in AWS public cloud.
• Created scripts in Python (Boto) which integrated with Amazon API to control instance operations.
• Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Git.
• Branching, Merging, Release Activities on Version Control Tool GIT. Used Git Hubas version control to store source code and implemented Git for branching and merging operations for Java Source Code
• Users' access support using Oracle Identity Management &THALES.
• Worked on Creating scripts using web logic on Unix Operating system.
• Integrated CICD automation on windows servers using Power shell script with Bamboo.
• Designed VNets and subscriptions to conform to Azure Network Limits.
• Exposed Virtual machines and cloud services in the VNets to the Internet using Azure External Load Balancer.
• Provided high availability for IaaS VMs and PaaS role instances for access from other services in the VNet with Azure Internal Load Balancer.
• Implemented high availability with Azure Classic and Azure Resource Manager deployment models.
• Deployed the tools Microsoft Azure Cloud Service (PaaS, IaaS), and Web Apps.
• Migrated over 150 applications to Hybrid Cloud, Google clod platform, AWS, IBM & Azure.
• Designed cloud migration strategy to implement CI\CD.
• Worked in container-based technologies like Docker, Kubernetes and OpenShift.

Confidential - Texas

AWS Engineer and Azure support

Responsibilities:

• Setup/Managing Linux Servers on Amazon (EC2, EBS, ELB, SSL, Security Groups, RDS and IAM).
• Setup/Managing VPC, Subnets; make connection between different zones; Blocking suspicious ip/subnet via ACL.
• Setup/Managing CDN on Amazon Cloud Front (Origin Path: Server / S3) to improve site performance.
• Create/Managing buckets on S3 (CLI) and store Data base and logs backup, upload images for CDN serve.
• Setup/Managing Databases on Amazon RDS. Monitoring servers thorough Amazon Cloud Watch, SNS.
• Creating/Managing DNS records on Amazon Route 53 and go-daddy panel.
• Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade AWS resources (CPU, Memory, EBS)
• Creating AWS Instances and Resources Bills.
• Integrated Amazon Cloud Watch with Amazon EC2 instances for monitoring the log files and track metrics.
• Created AWS S3 buckets, performed folder management in each bucket, managed cloud trail logs and objects within each bucket.
• Created Highly Available Environments using Auto-Scaling, Load Balancers, and SQS.
• Defined branching, labelling, and merge strategies for all applications in Git.
• Configured Elastic Load Balancers with EC2 Auto Scaling groups
• Configured S3 to host Static Web content.
• Experienced in S3 Versioning and lifecycle policies to and backup files and archive files in Glacier
• Created monitors, alarms and notifications for EC2 hosts using Cloud Watch
• Experienced in Performance Tuning and Query Optimization in AWS Redshift.
• Experienced on creating User access using Oracle Identity Management.
• Experienced on creating containerizing Data servers using Docker.
• Deployed the tools Microsoft Azure Cloud Service (PaaS, IaaS), and Web Apps.
• Used SQL Azure extensively for database needs in Customer Lookup & Multi AZ.
• Migrated the Azure CXP Tools to HTTPS based authentication using SSL encryption.
• Improved application performance using Azure Search and SQL query optimization.
• Implemented Merge feature for SQL Server Table smooth synchronization.
• Created SQL Server Integration Services (SSIS) packages for uploading different formats of files (Excel, Flat files, Access) into SQL Server.

Confidential - CA

AWS DevOps Engineer

Responsibilities:

• Developed and implemented software release management strategies for various applications as per agile process.
• Worked extensively with AWS services like EC2, S3, VPC, ELB, Auto Scaling Groups, Route 53, IAM, Cloud Trail, Cloud Watch, Cloud Formation, Cloud Front, SNS, and RDS.
• Gained good experience by working with configuration management tool Ansible and CI/CD tool Jenkins.
• Managed Amazon redshift clusters such as launching the cluster by specifying the nodes and performing the data analysis queries.
• Worked on AWS Elastic Beanstalk for fast deploying of various applications developed with Java, PHP, Node.js, Python, Ruby and Docker on familiar servers such as Apache and IIS.
• Set up and built AWS infrastructure with various services available by writing cloud formation templates in json.
• With the help of IAM created roles, users and groups and attached policies to provide minimum access to the resources.
• Created topics in SNS to send notifications to subscribers as per the requirement.
• Worked on the databases of the Amazon RDS and carried out functionalities for creating instances as per the requirements.
• Designed Java API to connect the Amazon S3 service to store and retrieve the media files.
• Implemented Amazon RDS multi-AZ for automatic failover and high availability at the database tier.
• Created Cloud Front distributions to serve content from edge locations to users so as to minimize the load on the frontend servers.

Confidential

DevOps Engineer

Responsibilities:

• Worked on multiple DevOps and Cloud tools that achieve KPIs. Coordinating with implementation team, to build and engineer services for Linux and Windows OS on cloud (AWS & Azure) platforms. Provisioned Instances, Storages & monitoring Services and CI/CD pipeline through Jenkins.
• Worked with automation of OS builds and application installations through Chef, Nagios for application and hardware resource monitoring, worked with plug-ins in Nagios for monitoring resources.
• Managed AWS infrastructure and automation with CLI and API. Working on Inbound and Outbound services with automation of Chef. Deployed multiple resources simultaneously, using Cloud Formation templates in AWS.
• Handled migration of on-premises applications to cloud, and created resources in cloud to enable this. Used all critical AWS tools, used ELB and Auto-Scaling policies for scalability, elasticity and availability.
• Involved in designing and deploying multitude applications utilizing almost all AWS stack (Including EC2, S3, AMI, Route53, RDS, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and Auto-Scaling in AWS Cloud Formation.
• Launched and configured of Amazon EC2 Cloud Servers using AMI's.
• Configured an AWS Virtual Private Cloud (VPC), NACL, and Database Subnet Group for isolation of resources within the Amazon RDS and Aurora DB clusters.
• Designed AWS Cloud Formation templates to create custom sized VPC, Subnets, NAT to ensure successful deployment of Web applications and database templates.
• Used Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers.
• Created function in Lambda that aggregates the data from incoming events, then stored result data in Amazon Dynamo DB and S3.