SUMMARY:

• AWS certified cloud engineer with around 6+ Years of experience in IT industry comprising Strong understanding of the entire AWS Product and Service suite primarily EC2, S3, VPC, Lambda, Redshift.
• Instantiated, created, and maintained CI/CD (continuous integration & deployment) pipelines and apply automation to environments and applications.
• Experienced with automating release process using Maven, Jenkins and Jira as tools in diversified project environment.
• Experience in AWS platform and its features including IAM, EC2, EBS, VPC, RDS, Cloud Watch, Cloud Trail, Cloud Formation AWS Configuration, Autoscaling, Cloud Front, S3, SQS, SNS, Lambda and Route53 .
• Experienced in building REST APIs on SQL, Oracle (Relational) and NoSQL databases like MySQL, MongoDB and EMR.
• Designed, configured and managed public/private cloud infrastructures utilizing Amazon Web Services (AWS) including EC2, Auto - Scaling in launching EC2 instances, Elastic Load Balancer, Elastic Beanstalk, S3, Glacier, Cloud Front, RDS, VPC, Direct Connect, Route53, Cloud Watch, Cloud Formation, IAM, SNS.
• Extensively worked on CI/CD pipeline for code deployment by engaging different tools (Git, Jenkins, Code Pipeline) in the process right from developer code check-in to Production deployment.
• Experience with Chef Enterprise Hosted as well as On-Premise, Installed Workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks and uploaded them to Chef-server, managed On-site Applications/ Services/Packages using Chef as well as AWS for EC2/S3/Route53 & ELB with Chef Cookbooks.
• Build servers using AWS: Importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Experienced in various types of testing such as Unit testing, Integration testing, User acceptance testing, Functional testing.
• Provided security and managed user access and quota using AWS Identity and Access Management (IAM).
• Experience in Web Services Technologies like SOAP, WSDL, UDDI and Service Oriented Architecture (SOA).
• Configured S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement.
• Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB Services, EBS volumes; to set alarm for Notification or Automated actions, and to monitor logs for better understanding and operation of the system.
• Experience in working on several Docker components like Docker engine, Hub, Machine, Compose and Docker registry

PROFESSIONAL EXPERIENCE:

Confidential, New York

AWS Developer

Roles and Responsibilities

• Developed and tested enterprise products, with current focus on cloud-based application and giving solution to challenges imposed by multi data center deployed SaaS products and their needs for DevOps tools and automation.
• Worked on Amazon RDS Multi-AZ for automatic failover and high availability at the database tier for MySQL workloads. Development of Application groovy .
• Worked with Docker components like Docker Engine, Docker -Hub, Docker-Compose, Docker Registry and Docker Swarm.
• Setup and build AWS infrastructure various resources (VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, RDS) in Cloud Formation JSON templates.
• Experienced in migrating source code repositories from between various version control systems like SVN to Git.
• Setup and build AWS infrastructure various resources (VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, RDS) in Cloud Formation JSON templates.
• Worked on ELK (Elastic search, Logstash and Kibana) Monitoring Tool that ensure Open Source IT monitoring, network monitoring, server and applications monitoring.
• Using Cloud watch and new relic to monitor our API and Dynamo DB performance.
• Migrated the current Linux environment to AWS/RHEL Linux environment and used auto scaling feature and Involved in Remediation and patching of Unix/Linux Servers.
• Monitoring API s’ and Database Clusters ( Cassandra and Aerospike Database stacks) using New Relic, ELK ( Elastic Search, Log Stash, Kibana ) and Optimized performance by seeing logs using AWS Cloud Trail, and Metrics from Cloud Watch and X-Ray .
• Implemented Docker - maven -plugin in and Maven pom to build Docker images for all Micro-services and later used Docker file to build the Docker images from the java jar files.
• Exposed to all aspects of Software Development Life Cycle ( SDLC ) such as Analysis, Planning, Developing, Testing and implementing and Post-production analysis of the projects.
• Used Amazon RDS with multi-AZ for automatic failover & high availability at database tier for MYSQL workloads.
• Build servers using AWS: Importing volumes ( EBS ), launching EC2, creating security groups, auto-scaling, load balancers, Route 53, SES and SNS in the defined virtual private connection.
• Writing Chef Recipes for Deployment on build on internal Data Centre Servers. Also, re-used and modified same Chef Recipes to create a Deployment directly into Amazon EC2 instances.
• Created scripts in Python which integrated with Amazon API to control instance operations.
• Build and maintain SQL scripts and execute different scripts for different environments.

Confidential

AWS Developer

Roles and Responsibilities

• Responsible for creating Aws Identity and Access Management(IAM) groups and Users for improved login authentication and providing security Group in both Public and Private Subnets in VPC. Wrote AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.
• Created and maintained the Python deployment scripts for Web Sphere web application server.
• Created network architecture on AWS VPC, subnets, Internet Gateway, Route. Perform S3 buckets creation, configured the storage on S3 buckets, policies and the IAM role-based policies.
• Use EC2 Container Service (ECS) to support Docker containers to easily run applications on a managed cluster of Amazon EC2 instances.
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto scaling, load balancers (ELBs) in the defined virtual private connection.
• Responsible for Amazon web services (AWS) infrastructure with automation and configuration management tool such as chef.
• Technology implemented to leverage MicroServices, the power of AWS, Ansible and Docker to reduce development cycles by 45%.
• Used AWS created and queried data using DynamoDB and created a Web interface allowing users to dynamically.
• Worked on AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation AWS Config, Auto scaling, CloudFront, IAM and DynamoDB.
• Implemented and maintained Chef Configuration management spanning several environments in VMware and the AWS cloud.
• Wrote SQL queries to perform CRUD operations on Oracle database by creating Liquibase script files.
• Developed Merge jobs in Python to extract and load data into MySQL database.
• Responsible for the development, monitoring, installation of DB2 and tuning of a large scaled database in DB2.
• Created and managed a Docker deployment pipeline for custom application images in the cloud using Jenkin.

Confidential, Atlanta

AWS Admin

Roles and Responsibilities

• Designed, configured and deployed Amazon Web Services (AWS) for a multitude of applications using the AWS stack (EC2, Route53, S3, RDS, Cloud Formation, Cloud Watch, SQS, IAM), focusing on high-availability, fault tolerance, and auto-scaling.
• Responsible for creating Aws Identity and Access Management(IAM) groups and Users for improved login authentication and providing security Group in both Public and Private Subnets in VPC.
• Wrote AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.
• Creating EC2 instances in secured private subnet and deploying them in load balancing, assigning Elastic IP Addresses for EC2 instances. Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT and Ansible.
• Installed and configured applications on AWS EC2 instances and stored them in S3 buckets, configured S3 Versioning and life cycle policies to back up files into Glacier.
• Monitoring Resources and Applications using AWS Cloud Watch, including creating alarms to monitor metrics such as EBS, EC2, ELB, RDS, S3, and configured notifications for the alarms generated based on events defined.
• Documented all the touch points to user facing system (Automation, Puppet, Jenkins, Git, AWS) and defined testing and release processes for each.
• Designed high availability environment for Application servers and database servers on EC2 by using ELB and Auto-scaling.
• Use EC2 Container Service (ECS) to support Docker containers to easily run applications on a managed cluster of Amazon EC2 instances.
• Implemented AWS solutions using EC2, S3, RDS, ECS, EBS, Elastic Load Balancer, Auto scaling groups, Optimized volumes and EC2 instances.
• Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.
• Created Python scripts to: Totally automate AWS services which includes web servers, ELB, Cloud front distribution, database, ec2 and database security groups, S3bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
• Used DTT scripts on Linux environment to run the queries and load the data to Redshift using Amazon Web Services (AWS)
• Configured Ansible to manage AWS environments and automate the build process for core AMIs used by all application deployments including Auto scaling, and Cloud formation scripts.

Confidential

Software Developer

Roles and Responsibilities

• Implemented client-based and server-based state management using properties such as view state, hidden fields, cookies, application state and session state.
• Implemented client-side validation with ASP.NET validator controls such as required field validator, range validator, compare validator, regular expression validator and custom validators.
• Created service help and test pages using ASP.NET Web Forms with appropriate documentation of sample requests and responses.
• Implemented both client-side and server-side validation of claims data using data annotations, filters and the jQuery Validation plugin.
• Development of front end using HTML and JSP. Java Servlets were used as the interface between the client and the server.
• Developing desktop applications with Java, JavaFX. Managing social media pages with its’ developer APIs.
• Developing automation tools for various projects, adding new features to existing ones.
• Installed the application on AWS EC2 AMI, Red hat, Ubuntu Instances.
• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups, Optimized volumes and EC2 instances.
• Deployed and maintained production environment using AWS EC2 instances and Elastic Container Services.