Devops /AWS Engineer/consultants with 4 plus years of experience

· Involved in analysis, design, development and support of the application.

· Migrated applications to the Aws cloud. Managed multiple instances, assigned security groups.

· Auto-scaled instances to design cost effective, fault tolerant and highly reliable systems.

· Built S3 buckets and managed policies for S3 buckets and used S3 bucket and glacier for storage and backup on

AWS.

· Experience involving configuration of S3 versioning and lifecycle policies and backup files and archive files.

· Experience working with the IAM to create new accounts, roles, and groups.

· Performed the automation using Chef Configuration Management.

· Well versed with many different concepts of a chef like Roles, Environments, Data Bags, knife, and chef server

Admin.

· Used postman tool for API testing.

· Participate and lead the analysis, development, testing and deploying of ETL functionality using the ETL tools (SSIS, Data Stage and Red Point). –y it need

· Develop SQL Server applications including DDL, DML, stored procedures and functions.

· Work on modernizing the ETL packages from older versions to the current versions.

· Design and develop the ETL functionality. Coordinate with Architecture team on the design components.

· Provide support during system testing, user acceptance testing, Go-Live.

· Developed SQL stored procedures and prepare statements for updating and accessing data from SQL database.

· Managing the TFS version control including all history of versions for source code.

· Created highly available and scalable infrastructure in AWS cloud by using various AWS services like EC2, VPC,

RDS, Route53.

· Configured AWS EC2 Instances using AMIs and launched instances with requirements of specific applications.

· Managed and configured (Amazon Web Services) cloud services like EC2, S3bucket, Security groups, RDS, EBS,

ELB, Auto-Scaling, AMI, Elastic search, IAM through AWS Console and API Integration.

· Built Automation and Build Pipe Line Development using Jenkins and Maven. Set up build pipelines in Jenkins by using various plugins like Maven plugin, EC2 plugin etc.

· Setup/teardown of ELK stack (Elastic search, Logstash, Kibana) for OSS functional testing.

· Installed, configured and managed the ELK (Elastic Search, Log stash and Kibana) for Log management within EC2 / Elastic Load balancer for Elastic Search

· Worked with Log stash in order to visualize key Open stack environment log metrics on Kibana (ELK).

· Have built Elastic search, Log stash and Kibana (ELK) for centralized logging and then store logs and metrics into S3 bucket using Lambda function for more than 2 weeks

· Collection of Build metrics and its Test case metrics from Jenkins to show case as visualization in Kibana dashboard using ELK.

· Skilled in monitoring servers using Nagios, Data dog, Cloud watch and using ELK Stack Elastic Search Log stash.

· Dealt with errors in pom.xml file to obtain appropriate builds using Maven build tool.

· Set up Jenkins master and added the necessary plugins and adding more slaves to support scalability and agility.

· Managed Ansible Playbooks with Ansible roles. Used file module in Ansible playbook to copy and remove files on remote systems

· Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications.

· Experience with Docker containers and orchestration platforms such as ECS, Mesos and Swarm

· Hands on experience on Docker hub, creating Docker images and handling multiple images and strong knowledge on Docker components like Docker Engine, Hub, Machine, Compose Docker Registry.

· Design and develop continuous deployment pipeline integrating Vagrant, Git, Jenkins and Chef across geographically separated hosting zones in AWS.

· Ability in development and execution of XML, Shell, Perl, Python, Bash and Ruby Scripts for merging, branching and automating the processes across the environments.

· Worked on monitoring tools like Nagios, Zabbix, Stack driver, AWS CloudWatch to health check the various deployed resources and services.

· Customized Restful Web Service using Spring Restful API, sending JSON format data packets between front-end and middle-tier controller.

· Provided connections using Spring JDBC to the database and developed SQL queries to manipulate the data.

· Involved in building a web service to provide access to the models and exposed it using a REST API that emits JSON.

Used My SQL, Dynamo DB, and Elastic Cache to perform basic database administration