Description

I am a DevOps Engineer with 7+ years of experience, having worked for reputable organizations such as the NHS, California Department of Public Health, Florida Power & Light Company, and Bank of America. Throughout my career, I have honed my skills in various areas, including CI/CD, version control, networking, operational monitoring, microservices, RESTful APIs, and database management. I am well-versed in tools such as Terraform, Jenkins, TravisCI, CircleCI, Git/GitHub/GitLab, JIRA, Asana, ELK, SonarQube, Prometheus, Grafana, Docker, Kubernetes, MySQL and NoSQL, MySQL Workbench, MongoDB Compass, Azure DevOps, TFS, SharePoint Services, Reporting Services, AWS, Linux, Apache, Hudson/Jenkins, JIRA, Git, JUnit, Nagios, Splunk, Nginx, Selenium, JUnit, and Rest API.

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

London (up to 50km)

NHS
Azure DevOps / Cloud Engineer
October 2021 - Today (4 years and 8 months)
•Deployed 10 VMs and 5 Cloud services with internal Load Balancer and subnets in 2 weeks, reducing downtime by 20% using secure VNets.
•Created 20 automation assets and runbooks that automated various tasks, resulting in 50% reduction in manual effort.
•Configured ADFS authentication flow and installed ADFS using Azure AD Connect in 3 days, reducing deployment time by 40%.
•Successfully implemented Enterprise Integration architecture using Azure Service Bus, AppService, Active Directory, Storage, hybrid connection manager, active directory authentication for Azure SQL server, resulting in 30% faster data integration and 50% faster integration time using hybrid connection manager.
•Improved application performance by 20% by conducting load testing using VSTS and created and configured 10 HTTP Triggers in Azure Functions with Application insights for monitoring and performing load testing on the Applications, resulting in 25% faster application response time.
•Successfully migrated 5 v1 Azure infrastructures into v2 using scripting and templating, resulting in 30% faster deployment time and 50% reduction in errors during migration.
•Converted 8 existing Terraform modules to utilize cloud formation during Terraform deployments, resulting in 20% faster deployment time and enabled more control and missing capabilities during Terraform deployments.
•Successfully designed and integrated Pivotal Cloud Foundry (PCF) on Microsoft Azure and deployed PCF using CF push and urban code deploy, resulting in 40% faster application deployment and reduced deployment errors by 30% by utilizing urban code deploy.
•Developed 5 APIs using Kubernetes to manage and specify the copies of the containers to run the actual servers in the cloud environment, resulting in 20% faster application response time and improved application scalability by 50% using Kubernetes.
CALIFORNIA DEPARTMENT OF PUBLIC HEALTH
GCP / AWS DevOps Engineer
September 2020 - September 2021 (1 year)
•Reduced GCP infrastructure provisioning time by 50% by using Terraform to create projects, VPCs, subnetworks, and GKE clusters.
•Improved AWS infrastructure resiliency by provisioning highly available EC2 instances with a 99.99% uptime using Terraform.
•Reduced cloud migration time by 30% by implementing AWS best practices, including using Database Migration Service, Server Migration Service, and AWS CloudFormation.
•Increased AWS infrastructure efficiency by managing it as code using Terraform and writing Python scripts, resulting in a 20% reduction in deployment time.
•Improved Docker containerization efficiency by managing it with Kubernetes, resulting in a 15% reduction in containerization time.
•Demonstrated proficiency in multiple technologies, including AWS, GCP, Jenkins CI/CD, Nagios, Jira, Shell, Python, VPC, autoscaling, Apache, JBoss, Nginx, Tomcat, Git, Docker, Kubernetes, ServiceNow, Cassandra, Kafka, and blue/green deployment, resulting in a diverse and comprehensive skill set.
Florida Power & Light Company
AWS DevOps Engineer
May 2017 - August 2020 (3 years and 3 months)
•Created and monitored Amazon EC2 instances, managed Linux and Windows instances with Elastic IP, Security Groups, and Virtual Private Cloud in AWS.
•Configured AWS services including Amazon S3, Elastic Load Balancing, IAM, and Security Groups in Public and Private Subnets in VPC.
•Managed network security using Load Balancer, Auto-scaling, Security Groups, and NACL and automated backups of data-stores to S3 buckets, EBS, and nightly AMIs for production servers. Maintained Docker images for tech stack including Cassandra, Kafka, Apache, and in-house Java services in Google Cloud Platform using Stackdriver for monitoring and alerts.
•Setup and configured Puppet and Chef for deployment on multiple platforms, implemented Chef Cookbooks for OS and DB configuration, and virtualized servers using Docker for test and dev environments.
•Managed Jenkins CI/CD pipeline jobs for end-to-end automation, distributed load on Jenkins server, and administered GIT source code tool.
•Deployed and configured Git repositories with branching, forks, tagging, merge requests, and notifications and installed/managed Nexus Repository Manager for release process of artifacts. Experienced with on-premises network, application, server monitoring tools, and CloudWatch monitoring tool in AWS.
•Skilled in scripting languages including Python, Ruby, Shell, and Bah and installing, configuring, and maintaining Debian/Redhat, CentOS, and Suse Servers at multiple Data Centers.
•Experienced in logical volume management and system backup scheduling and maintenance.