Lead AWS DevOps Consultant Resume GA - Hire IT People (2024)

SUMMARY

• Over 8+ years of IT hand on experience as AWS Engineer expertized in Developing, configuring, Automating and deploying instances on AWS cloud environments.
• Experience in Continuous Integration and Continuous Delivery (CI/CD) in Agile, Scrum and Waterfall methodologies with thorough knowledge on each phase of SDLC (Software Development Life Cycle).
• Expertise on configuring and integrating the servers with different environment and creating new machines using configuration management/provisioning tools like CHEF (Knife, recipe, cookbook), ANSIBLE (Playbook, inventory)
• Designed, configured and managed public/private cloud infrastructures utilizing Amazon Web Services(AWS) including EC2, Elastic Load - balancers, Elastic Container Service (Dockers Containers), S3, Cloud Front, VPC Route53, Cloud Watch, Cloud Formation, IAM, RDS, Dynamo DB, and Red shift.
• Managed various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and Integrated Ansible with Jenkins.
• Experience in setting up the enterprise infrastructure on Amazon Web Services (AWS). Working with broad range of AWS cloud services and it's features like Auto Scaling, ELB, VPC, Security Groups, Route53, RDS, S3, IAM, SNS, SES, SQS, Cloud Front, Elastic Beanstalk, DynamoDB, AWS Lambda.
• Experience in provision of automation tools like Chef, Puppet and Ansible, in addition to deployment tools like SVN, GIT, Clear Case, Clear Quest, Perforce, Cruise Control, Jenkins, and Bamboo.
• Experience in working with server - side technologies like Node.JS,Restful API and MVC design patterns.
• Experienced in GoLang Microservices using channels, routines, functional interfaces, and various frameworks.
• Good knowledge and experience in using Elasticsearch, kibana and fluentd, CloudWatch, Nagios, Splunk,Prometheus and Grafana for logging and monitoring.
• Expertise in building CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy and Code Pipeline and experience in using AWS CloudFormation, API Gateway, and AWS Lambda in automation and securing the infrastructure on AWS.
• Strong knowledge and experience on Amazon Web Services (AWS) Cloud services like EC2, S3, EBS, RDS, VPC, and IAM .
• Monitoring resources and Applications using AWS Cloud Watch, including creating alarms to monitor metrics such as EBS, EC2, ELB, RDS, S3, SNS and configured notifications for the alarms generated based on events defined.
• Good Knowledge on other Cloud service platforms such as Google Cloud Platform (GCP), Rackspace, OpenStack and used them as POC in various projects.
• Worked in an agile development team to deliver an end-to-end continuous integration/continuous delivery product in an open source environment using tools like Chef and Jenkins .
• Design and develop continuous deployment pipeline integrating Vagrant, GIT, Jenkins and Chef across. Geographically separated hosting zones in AWS.
• Has a demonstrated background within the design, development, and implementation of GoLang and Java web applications.
• Responsible to designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats, Kafka, zookeeper etc.
• Configured S3 lifecycle of Applications and Database logs, including deleting old logs, archiving logs based on the retention policy of Apps and Databases. Implement and maintain the monitoring and alerting of production and corporate servers/costs using Cloud Watch.
• Set up a GCP Firewall rules in order to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Experience in writing Ansible Playbooks using python SSH to manage the configuration of AWS nodes and test the playbooks on AWS instances using python.
• Experience with maintaining the 24x7 production environments on public Cloud environments (AWS) and on prem.
• Responsible for writing the Design specifications for the generic and application specific web services in Groovy Grails
• Experience on OpenShift platform in managing Docker containers Kubernetes Clusters.
• Good understanding of AWS services like EC2, VPC, IAM, RDS, S3, ELB, ALB, EBS, Route 53, CloudFront, CloudFormation, SNS, SQS, AMI, AWS Glue, Athena, ECS, Autoscaling, Kibana, Elasticsearch.
• Experience in Designing, Architecting and implementing scalable cloud-based web applications using AWS and GCP.
• Followed AGILE development methodology to develop the application and developed Golang API and chat-bot using TDD to automate software deployments and rollbacks.
• Utilized AWS Beanstalk for conveying and scaling web applications and administrations created with Java, PHP, Node.js, Python, Ruby and Dockers on commonplace servers like Apache.
• Hands on experience in Architecting Legacy Data Migration projects such as Teradata to AWS Redshift migration and from on-premises to AWS Cloud.
• Strong programming skills in designing and implementation of multi-tier applications using web-based technologies like Spring Boot.
• Highly proficient and experience in working on software development and data modelling projects using JavaScript, Python, MSSQL, PostgreSQL, Elasticsearch, Logstash, Kibana, Grafana, Power BI, SAS, HL7, Mirth Connect and PowerShell on windows and Unix/Linux machines.
• Worked in ETL design and development - understanding the tradeoffs of various design options on multiple platforms using multiple protocols.
• Created infrastructure in a coded manner (infrastructure as code) using Puppet and Chef for configuration management of virtual environments, and Vagrant for virtual machine and resource control.
• Worked on creation of Puppet manifest files to install tomcat instances and to manage configuration files for multiple applications.

TECHNICAL SKILLS

Cloud Computing: Amazon web services like AWS ec2, VPC, S3, Route53, Cloud Watch, IAM, SES, RDS, Cloud Front, EC2 CLI, Python Boto module

Continuous Integration Tools: Jenkins, Hudson

Configuration Management Tools: Chef, Puppet, Ansible, Terraform

Containerization Tools: Kubernetes, Docker

Automation Tools: Jenkins, CI/CD, ELK

Operating Systems: Windows, Linux, Ubuntu, Red Hat, CentOS

Databases: MS Access, MYSQL, MS SQL Server 7.0/2000, Oracle

Languages: Python, Shell Scripting, SQL, Java, HTML

PROFESSIONAL EXPERIENCE

Confidential | GA

Lead AWS DevOps Consultant

Responsibilities:

• Created Terraform modules for two tier Architecture which includes AWS resources VPC, Subnets, Security groups, Ec2, Load Balancers, Auto scaling group, Cloud watch Alarms, ECS clusters, S3 buckets for logs.
• 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.
• Implemented a Continuous delivery framework using Bamboo, Ansible, Maven and Oracle in Linux Environment.
• Migration of share point from WSS 3.0 to TFS 2013 and integrating it with TFS Involved in writing Ansible playbooks for setup and configuration of tools including Jenkins and artifactory on remote servers using REST API protocol.
• Involved in Development and Implementation of Continuous Integration and Continuous Deployment (CI/CD) pipeline involving Jenkins, Ansible, Terraform, ECS and Docker containers to complete the automation from commit to deployment.
• Proficient with deployment and management of AWS services - including but not limited to: VPC, Route 53, ELB, EBS, EC2, S3
• Configured applications that run multi-container Docker applications by utilizing the Docker-Compose tool which uses a file configured in YAML format. Used Kubernetes to manage containerized applications using its nodes, Config-Maps, selector, Services and deployed application containers as Pods.
• Educate developers on how to commit their work and how can they make use of the CI/CD pipelines that are in place.
• Built Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code to deploy different Applications infrastructure for Dev, QA and Pre-prod based on the requirement from different teams as Infrastructure as a Code.
• Performed S3 buckets creation, and policies on the IAM role based polices and customizing the JSON template.
• Installed and configured KUBERNETES, Chef Server/workstation and nodes via CLI tools and wrote Docker files to create new images based on working environments for testing purposes before deployment.
• Setup full CI/CD pipelines so that each commit a developer makes will go through standard process of software lifecycle and gets tested well enough before it can make it to the production.
• Extensive Knowledge and hands-on experience implementing PaaS, IaaS, SaaS style delivery models inside the Enterprise (Data center) and in Public Clouds using like AWS and Kubernetes etc.
• Created Python Scripts to Automate AWS services, include web servers, ELB, CloudFront Distribution, database, EC2 and database security groups.
• Designed a system using Kafka to auto - scale the backend servers based on the events throughput.
• Helped individual teams to set up their repositories in bit bucket and maintain their code and help them setting up jobs which can make use of CI/CD environment.
• Created functions and assigned roles in AWS Lambda to run python scripts.
• Knowledge and expertise on all aspects of Chef concepts like Chef server, workstations, Nodes, Chef clients and various components like push jobs, super market etc.
• Developed and implemented software applications and systems using various tools and technologies including GoLang, AWS, Docker.
• Extensively worked on automating infrastructure in AWS using amazon web services, deploying through puppet to completely provision and manage AWS EC2 instances, volumes, DNS, and S3.
• Build ETL pipeline end to end from AWS S3 to Key, Value store DynamoDB, and Snowflake Datawarehouse for analytical queries and specifically for cloud data.
• Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from dev through production, easing the code development and deployment pipeline by implementing Docker containerization with multiple namespace.
• Responsible for CI/CD Automation in all categories of application development like Versioning, Building, Testing and Deployment.
• Good experience in working with godoc, ginkgo, grpc, Goland, and AngularJS in order to assist with the requirements. GoLang and Java were used as a backend REST service while AngularJS was used for the user interface.
• Troubleshoot a variety of issues for hosting platforms capable of running on a variety of frameworks (java, .net, kafka, cassandra, SQL server, node.js, ruby, php, python)
• Designed various Jenkins jobs to continuously integrate the processes and executed CI/CD pipeline using Jenkins, Ansible Playbooks and Ansible Tower.
• Manage automation playbooks and documentation related to OpenShift.
• Data Extraction, aggregations and consolidation of Adobe data within AWS Glue using PySpark.
• Developed the PySpark code for AWS Glue jobs and for EMR.
• Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.
• Implemented Terraform modules for deployment of various applications across multiple Cloud providers and managing infrastructure.
• Built Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code.
• Installed and configured latest version of Docker Datacenter including universal control plane (UCP) and Docker trusted registry (DTR) on a cluster of hosts.

Confidential | NY

Senior AWS DevOps Consultant

Responsibilities:

• Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
• Involved in designing and deploying multiple applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto- scaling in AWS Cloud Formation.
• Implemented automation with Ansible on AWS for application testing, deployment & development. Used playbooks, roles, to deploy web applications, applications server and vendor applications.
• 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 GCP Config, Autoscaling, Cloud Front, IAM, R53.
• Wrote scripts for the build, deploy, maintain using Jenkins, Git, Python, Bash and worked on CI/CD involving Run Deck Jenkins and Ansible to complete the automation from commit to deploy.
• Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
• Currently leads an active integration effort for building out PaaS with Red hat OpenShift, Dockers and working with developers on application containerization effort . deployed the resources to Google Anthos by using the terraform code and terraform backend in GCP buckets.
• Written some Groovy scripts for setting up LDAP configuration for Jenkins using security matrix.
• Create load balancers i.e. ELB and used Route53 with failover and latency options for high availability and fault tolerance.
• Developed Node.js Lambda functions for validating Redis/SQL/CRM endpoint access and functionality, certain scheduled tasks such as centralized proxy whitelist updates and batch processes
• Created Ansible playbooks to automatically install packages from a repository, to change the configuration of remotely configured machines and to deploy new builds.
• Used Terraform scripts to Automate instances for Manual instances that were launched before. Writing json templates for cloud formation and ruby scripts for chef automation and contributing to our repository on GitHub (sub version control).
• Worked on reading and writing multiple data formats like JSON, ORC, Parquet on HDFS using PySpark.
• Building/Maintaining Docker/ Kubernetes container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP
• Used Node.JS for server-side encryption and Express JS to write to write callback functions for restful API and for navigate to different pages in the application.
• Involved in designing and deploying a multitude application utilizing almost all the AWS stack (including EC2, Route 53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto scaling in AWS Cloud Formation.
• Set up and maintained Logging and Monitoring subsystems using tools loke; Elasticsearch, Fluentd, Kibana, Prometheus, Grafana and Alertmanager.
• Managed SVN repositories for branching, merging and tagging and developing Shell/Groovy Scripts for automation purpose.
• Implemented a CI/CD framework using Jenkins, Maven & Artifactory in Linux environment and Integration of Maven/Nexus, Jenkins, Git and JIRA.
• Used Jenkins and pipelines which helped us drive all Microservices builds out to the Docker registry and then deployed to Kubernetes.
• Experience with SDLC and Agile Development tools ( Git, Maven, Jenkins, Artifactory, JIRA, Confluence).
• Hands on experience on Terraform a tool for building, changing, and versioning infrastructure safely and efficiently.
• Hands on experience of JS libraries and frameworks such as Angular.js, React.js, Redux, pattern, jQuery and node.js.
• Installed and configured KUBERNETES, Chef Server/workstation and nodes via CLI tools and wrote Docker files to create new images based on working environments for testing purposes before deployment.
• Used Python for writing Lambda Functions and JSON scripts for automation using AWS CloudFormation.
• Used Terraform to map more complex dependencies and identify network issue.
• Used Amazon Route53 to manage DNS zones and give public DNS names to elastic load balancers ip's.
• Established infrastructure and service monitoring using Prometheus and Grafana.
• Implemented a Continuous Delivery framework using Jenkins, CHEF, Maven & Nexus in Linux environment. Using Jenkins in AWS Code Deploy plugin to deploy to AWS.
• Integrated the f5 client VPN with GCP Anthos to create the secured tunnel between cloud to on-premise
• Maintained Chef Servers and management application that can use Service Now data to bring computers into a desired state by managing files, services, packages installed on physical or virtual machines.
• Participating in the call of Business Requirements Designs from clients and work with Architecture/RAD team for shaping out the Design of ETL tasks lists.
• Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup.
• Build servers using GCP, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Manage Amazon Redshift clusters such as launching the cluster and specifying the node type.
• Experience AWS services (VPC, EC2, S3, RDS, Redshift, Data Pipeline, EMR, Dynamo DB, Redshift, Lambda, SNS, and SQS).
• Deployed and monitored scalable infrastructure on Amazon Web Services (AWS) & configuration management using Puppet.

Confidential | NY

AWS DevOps Engineer

Responsibilities:

• Used Terraform as Infrastructure as a code and Execution plans, Resource Graphs, Change Automation and extensively used Auto scaling launch configuration templates for launching amazon EC2 instances while deploying Micro services.
• Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.
• Responsible for large scale Puppet implementation and maintenance and instituted AWS automation through Puppet and Ansible environment.
• Provide guidance to development team working on PySpark as ETL platform
• Deployed hybrid cloud model with Anthos to shift the workload between Anthos and cloud GCP
• Running Automate system administration tasks on managed hosts with Ansible.
• Created recommendations on how to duplicate a subset of on-premise machines to the AWS Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included the specifics to synchronize on-premise data with SQL Server and SharePoint instances hosted in VMs.
• Created scripts in Python to automate log rotation of multiple logs from web servers
• Manage metadata alongside the data for visibility of where data came from, its linage to ensure and quickly and efficiently finding data for customer projects using AWS Data lake and its complex functions like AWS Lambda, AWS Glue.
• AWS CI/CD Data pipeline and AWS Data Lake using EC2, AWS Glue, AWS Lambda.

Confidential | IL

AWS Developer

Responsibilities:

• Used Terraform for making resource graphs and parallelized the creation and modification of any non-dependent resources
• Created Shell scripts (Bash), Ruby, Python, Groovy, YAML and Power Shell for automating tasks.
• Involved in maintaining the user accounts (IAM), RDS, Dynamo DB, Route 53, VPC, SES and SNS services in AWS cloud.
• Consumed REST based Microservices with Rest template based on RESTful APIs.
• Used Spring Boot Actuator to monitor and manage the application in production environment.
• Create Pyspark frame to bring data from DB2 to Amazon S3.
• Used Ansible to Setup/teardown of ELK stack (Elasticsearch, Log stash, Kibana) and troubleshoot the build issues with ELK and work towards the solution.
• Leveraged AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts.
• Experience in writing basic Shell scripts using bash, Perl, for process automation of databases, applications, backup and scheduling.
• Using scripts to compare data consistency between different systems and for data loading and replication.
• Installed, configured and managed the RDBMS databases like MySQL.

Confidential | VA

Linux Administrator

Responsibilities:

• Managed and administrated of all UNIX servers, includes Linux operating systems by applying relative patches and packages at regular maintenance periods using Red Hat Satellite server, YUM, RPM tools.
• Performed physical server to Virtual server migration P2V of Red Hat Linux servers onto VMware ESX frames ad Virtual Machines.
• Monitoring CPU, memory, physical disk, Hardware and Software RAID, multipath, file systems, network using the tools NAGIOS 4.0 monitoring.
• Implemented rapid-provisioning and life-cycle management for Ubuntu Linux using Amazon EC2, Chef, and custom Ruby/Bash scripts.
• Experience working with Red Hat OpenShift Infrastructure design, deployment, and operational support.
• Built Restful API with Spring, Spring Boot, and testing APIs using Postman.
• Administration of RHEL 4/5 which includes installation, configuration, testing on both physical and virtual machines.
• Wrote shell scripts using languages like Bash, Python, and Perl to automate day to day admin jobs.
• Prepare specs for new infrastructure and VMware servers, disk storage, and network switches, routers, firewalls, and VPN's.
• Configured LDAP Server and LDAP Client on Linux machines for authorization and authentication.
• Performed performance tuning and file system tuning procedures for Sun and RHEL servers
• Used Spring Boot at back-end which helps to develop application with ease
• Experienced in chef cookbook development, PowerShell scripting and puppet manifest and module.
• Installed, configured and managed Red hat enterprise Linux, administered,
• System configuration and Administration of Red Hat Linux/SuSE.