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jobs
DevOps/Cloud Expert
Prashant R
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
I would like to throw in my hat as an applicant for the contract/freelancing open DevOps/Cloud position which you are hiring for. I have been dealing with clients from the various domains (Analytics, Healthcare, Banking, Finance, Pharma, etc) and helping them setting up cloud infrastructure on AWS/Azure/GCP. I enjoy designing cloud architect as per the use-case.
I have a mixed bag of experience including consulting, project management, programming, automation.
I am a certified AWS solution architect and Azure solution architect which makes me stand out of the crowd as many of the clients ask for the certification and it gives the credibility of my abilities!
In my latest contract, I have led a project where we have built a 100% Infrastructure as a code from scratch which deploys analytics sandbox/dev environment on top of AWS, Azure, and GCP within 30mins.
Some of the tools and technologies which were involved are (Not limited to the list though) Terraform, Ansible, Python, Shell, AWS, Azure, GCP, CircleCI, Azure DevOps, AWS CodePipeline, Grafana, Tableau, Databricks, CI/CD, Scrum, Agile, and various cloud services to cater Platform as a Service. The project was a big success and got popular among various clients and as an impact client has cut down infrastructure deployment time from weeks to minutes and saved cost for each engagement. I have more interesting DevOps stories but the email will go too long if I mention all of them!
I have a mixed bag of experience including consulting, project management, programming, automation.
I am a certified AWS solution architect and Azure solution architect which makes me stand out of the crowd as many of the clients ask for the certification and it gives the credibility of my abilities!
In my latest contract, I have led a project where we have built a 100% Infrastructure as a code from scratch which deploys analytics sandbox/dev environment on top of AWS, Azure, and GCP within 30mins.
Some of the tools and technologies which were involved are (Not limited to the list though) Terraform, Ansible, Python, Shell, AWS, Azure, GCP, CircleCI, Azure DevOps, AWS CodePipeline, Grafana, Tableau, Databricks, CI/CD, Scrum, Agile, and various cloud services to cater Platform as a Service. The project was a big success and got popular among various clients and as an impact client has cut down infrastructure deployment time from weeks to minutes and saved cost for each engagement. I have more interesting DevOps stories but the email will go too long if I mention all of them!
Markets
United Kingdom
Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Available
My experience
2017 - ?
job
Senior AWS Dev OPS Engineer/ Cloud Architect
Akoni Technologies.
Client: Internal Project
Environment: AWS, Ansible, Azure, Azure DevOps, Azure Databricks, Azure Datafactory, MLops, Apache Airflow, Cloudformation, Terraform, Rundeck, Databricks, Python, Boto3, Lambda, JIRA, Codacy, CircleCI, Confluence, Microsoft Azure, Docker, Kubernetes, GCP, Nginx, Confluence, JIRA, Sprint, security
ROLES AND RESPONSBLITIES:
Project: Setting up Analytics infrastructure and automating (IaaC)
Leading the project to deploy Analytics platform AWS/Azure/GCP Cloud which is globally used within the firm by Data Engineers, Data Scientist, MLEs.
successfully developed an internal Analytics infrastructure on AWS cloud which provide Analytics tools, storage, compute power (Clusters), help Des in ETL jobs and pipeline to push data automatically. We have fully automated system for Data Injection and most of the analytics work and visualization.
• Gathering Client requirement, speaking to clients to customize solution as per requirement.
• Build Proxy solution using AWS to replace SOHA which was a big win to cut a huge cost for the project
• Building Jenkins pipelines
• Building AKS Kubernetes cluster on AWS and Azure
• Successfully replaced third party proxy solution using AWS services and saved lots of cost
• Traveling client on-site to understand requirement, suggesting solution, and help them implementing
• Providing Rstudio, Jupyterhub, Databricks (Software as a service) to the team.
• Setting up DevOps CI/CD pipeline
• Good communication and leadership skills
• Scrum Master for development and automation lead
• Using Python, AWS, Git, Rundeck, JIRA on day to day basis
• Implementing security in environment
• POC: Making infrastructure server less
• Making infrastructure fully automated using boto3, CloudFormation, Lambda, Rundeck, Python, Ansible
• Consulting Clients, Partners, and CSTs about environment and helping them build the high scalable and fault tolerant environment
• Configure and use Codacy to reduce code and Pull request review efforts and improving code quality
• Services used in AWS - EC2, S3, SNS, IAM, RDS, Cognito, VPC, DynamoDB, SQS, Lambda, Cloudformation, Cloudwatch, ELB, Kinesis, Glue, ECS, Nginx
• Azure Vnet, VM, Container service, Machine learning service, Blob, Postgres, RBAC, active directory, etc
• Microsoft Azure and Kubernetes
• Handling Security and compliance best practices and patching
• Automating deployment on Azure
• Implementation of Analytics IaaS using GCP
• Presenting stakeholders, handling infosec expectations and pen-testing feedbacks
• Setting up Vnet, VM, Postgres, IAM, Datafactory, Databricks and other PaaS in Azure environment.
• Setting end-to-end CI/CD pipeline using Azure DevOps
• Architecting the infrastructure and automating it
Environment: AWS, Ansible, Azure, Azure DevOps, Azure Databricks, Azure Datafactory, MLops, Apache Airflow, Cloudformation, Terraform, Rundeck, Databricks, Python, Boto3, Lambda, JIRA, Codacy, CircleCI, Confluence, Microsoft Azure, Docker, Kubernetes, GCP, Nginx, Confluence, JIRA, Sprint, security
ROLES AND RESPONSBLITIES:
Project: Setting up Analytics infrastructure and automating (IaaC)
Leading the project to deploy Analytics platform AWS/Azure/GCP Cloud which is globally used within the firm by Data Engineers, Data Scientist, MLEs.
successfully developed an internal Analytics infrastructure on AWS cloud which provide Analytics tools, storage, compute power (Clusters), help Des in ETL jobs and pipeline to push data automatically. We have fully automated system for Data Injection and most of the analytics work and visualization.
• Gathering Client requirement, speaking to clients to customize solution as per requirement.
• Build Proxy solution using AWS to replace SOHA which was a big win to cut a huge cost for the project
• Building Jenkins pipelines
• Building AKS Kubernetes cluster on AWS and Azure
• Successfully replaced third party proxy solution using AWS services and saved lots of cost
• Traveling client on-site to understand requirement, suggesting solution, and help them implementing
• Providing Rstudio, Jupyterhub, Databricks (Software as a service) to the team.
• Setting up DevOps CI/CD pipeline
• Good communication and leadership skills
• Scrum Master for development and automation lead
• Using Python, AWS, Git, Rundeck, JIRA on day to day basis
• Implementing security in environment
• POC: Making infrastructure server less
• Making infrastructure fully automated using boto3, CloudFormation, Lambda, Rundeck, Python, Ansible
• Consulting Clients, Partners, and CSTs about environment and helping them build the high scalable and fault tolerant environment
• Configure and use Codacy to reduce code and Pull request review efforts and improving code quality
• Services used in AWS - EC2, S3, SNS, IAM, RDS, Cognito, VPC, DynamoDB, SQS, Lambda, Cloudformation, Cloudwatch, ELB, Kinesis, Glue, ECS, Nginx
• Azure Vnet, VM, Container service, Machine learning service, Blob, Postgres, RBAC, active directory, etc
• Microsoft Azure and Kubernetes
• Handling Security and compliance best practices and patching
• Automating deployment on Azure
• Implementation of Analytics IaaS using GCP
• Presenting stakeholders, handling infosec expectations and pen-testing feedbacks
• Setting up Vnet, VM, Postgres, IAM, Datafactory, Databricks and other PaaS in Azure environment.
• Setting end-to-end CI/CD pipeline using Azure DevOps
• Architecting the infrastructure and automating it
Infrastructure, Service, Less, Compliance, Security, Nginx, Confluence, Postgres, It, Implementation, Presenting, Analytics, Testing, Development, Lambda, Storage, Software, Server, Visualization, Power, UP, CI / CD, DevOps, Git, Scrum, Machine learning, Docker, AWS, Jira, Scrum master, Azure, Jenkins, Active Directory, Python, Microsoft azure, Deployment, ETL, Automation, Kubernetes, Cloud, Leadership, Apache, Consulting
2016 - 2017
job
Cloud Engineer
Hewlett Packard Enterprise R&D.
Client: Internal Project
Environment: Linux, AWS, HPE Apollo Server, Python, Git, Vagrant, Chef, Ansible, Docker Container.
ROLES AND RESPONSBLITIES:
Project: Setting up infrastructure and CI/CD pipeline for HPE internal work
• Setup EC2 instances, setup storage, SNS, auto scaling, setting security groups& cloud watch.
• Setting up VPC [including private and public subnet, auto scaling, NAT, gateway].
• Creating users and providing access to teammates using IAM.
• Setup auto scaling, Configure Cloud Watch alarm to mount new instance or down instance.
• Configure EBS for EC2 instances, take EBS snapshots and back up into S3 storage.
• Setting up Apache server.
• Experimenting to deploy services on docker containers.
• Installing and setting up Jenkin for project.
• Setting up CI/CD pipeline for project.
• Exposure to automation tools like - Git, Bash, Chef, Jenkins, Docker etc.
• Migrating SQL to AWS RDS.
• Extensive experience in Python F5 SDK to deal with datacenter pools, ltm and gtm pool members.
Project: File System Automation- Lustre Automation
• Automating deployment of file system to server.
• Setting up machines from scratch, installing OS, installing packages and drivers.
• Heavily used git commands.
• Setting up Jenkins.
• Dockerizing nodes using Docker container.
• Hands on experience on Docker container.
• Writing Python scripts to verify existing setup using python 2.7.
Project: F5-BigIP Automation
• Understanding F5-Python-SDK
• Writing python scripts using F5 SDK to manage servers
• Writing python scripts to deal with GTM and LTM
• Writing python script to deal with various actions using python and Rundeck
• Managing making datacenter up and down, handling ration using automation
• Managing pools state
Environment: Linux, AWS, HPE Apollo Server, Python, Git, Vagrant, Chef, Ansible, Docker Container.
ROLES AND RESPONSBLITIES:
Project: Setting up infrastructure and CI/CD pipeline for HPE internal work
• Setup EC2 instances, setup storage, SNS, auto scaling, setting security groups& cloud watch.
• Setting up VPC [including private and public subnet, auto scaling, NAT, gateway].
• Creating users and providing access to teammates using IAM.
• Setup auto scaling, Configure Cloud Watch alarm to mount new instance or down instance.
• Configure EBS for EC2 instances, take EBS snapshots and back up into S3 storage.
• Setting up Apache server.
• Experimenting to deploy services on docker containers.
• Installing and setting up Jenkin for project.
• Setting up CI/CD pipeline for project.
• Exposure to automation tools like - Git, Bash, Chef, Jenkins, Docker etc.
• Migrating SQL to AWS RDS.
• Extensive experience in Python F5 SDK to deal with datacenter pools, ltm and gtm pool members.
Project: File System Automation- Lustre Automation
• Automating deployment of file system to server.
• Setting up machines from scratch, installing OS, installing packages and drivers.
• Heavily used git commands.
• Setting up Jenkins.
• Dockerizing nodes using Docker container.
• Hands on experience on Docker container.
• Writing Python scripts to verify existing setup using python 2.7.
Project: F5-BigIP Automation
• Understanding F5-Python-SDK
• Writing python scripts using F5 SDK to manage servers
• Writing python scripts to deal with GTM and LTM
• Writing python script to deal with various actions using python and Rundeck
• Managing making datacenter up and down, handling ration using automation
• Managing pools state
Cloud, CI / CD, UP, Server, Datacenter, Storage, Infrastructure, Security, Bash, Apache, Sql, Automation, Deployment, Jenkins, AWS, Docker, Writing, Linux, Git, Python
2015 - 2016
job
Technology Analyst
Infosys Ltd.
Roles and Responsibilities:
• Got trained for AWS - Amazon web services.
• Got trained for Automating infrastructure using chef.
• Hands on various AWS services.
• Automating VM provision using Vagrant.
Designing and implementing Cloud solutions with AWS Virtual private cloud (VPC), Elastic Compute Cloud (EC2),
Elastic Load Balancer (ELB), S3, Auto scaling, Cloud watch and other AWS services.
• Implementing AWS Cloud cost effective solution for Non Production environment such as Development and testing.
• High Availability designed using Elastic load balancer for Web servers with Scale in and Scale out automatically
• also Isolated environment by having security groups and NACL across subnets for EC2 instances.
• Got trained for AWS - Amazon web services.
• Got trained for Automating infrastructure using chef.
• Hands on various AWS services.
• Automating VM provision using Vagrant.
Designing and implementing Cloud solutions with AWS Virtual private cloud (VPC), Elastic Compute Cloud (EC2),
Elastic Load Balancer (ELB), S3, Auto scaling, Cloud watch and other AWS services.
• Implementing AWS Cloud cost effective solution for Non Production environment such as Development and testing.
• High Availability designed using Elastic load balancer for Web servers with Scale in and Scale out automatically
• also Isolated environment by having security groups and NACL across subnets for EC2 instances.
AWS, Amazon Web Services, Cloud, Web Services, Technology, Security, Infrastructure, Analyst, Amazon, Testing, Development, Web, Production
2013 - 2015
job
Lead Engineer
HCL Technology.
Project: Nimsoft Probe Development
Development
2011 - 2013
job
Software Engineer
Wipro Technologies.
Project: OpenStack
Software, OpenStack
2011 - 2013
job
ASAM (Advanced Services Access Manager)
Alcatel Lucent.
Environment: C++, Linux, Networking, shell.
Project Overview: Maintenance and up keeping of ATM based DSL Multiplexer.
Roles and Responsibilities:
• Involved in maintenance of product and bug fixing.
• Hands on in real Lab setup of DSLAM and Multiplexed.
• Main area of focus fixing bugs.
• Writing shell scripts for automation.
Project Overview: Maintenance and up keeping of ATM based DSL Multiplexer.
Roles and Responsibilities:
• Involved in maintenance of product and bug fixing.
• Hands on in real Lab setup of DSLAM and Multiplexed.
• Main area of focus fixing bugs.
• Writing shell scripts for automation.
Linux, Writing, Networking, Automation, C, Manager, UP
My education
2006
-
2010
UPTU University
Certification, N/a
Certification, N/a
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