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