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$28 USD / hora
Bandera de PAKISTAN
islamabad, pakistan
$28 USD / hora
Aquí son las 8:06 p. m.
Se unió el noviembre 4, 2019
0 recomendaciones

Rashid H.

@rashidhussain85

 0,0 (0 comentarios)
0,0
0,0
100%
100%
$28 USD / hora
Bandera de PAKISTAN
islamabad, pakistan
$28 USD / hora
N/A
Trabajos finalizados
N/A
Dentro del presupuesto
N/A
A tiempo
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Tasa de recontratación

DevOps Engineer | AWS Architect

10+ years of experience in Software Development, DevOps Services and Cloud Services. Working in following tools for Software Development, DevOps and Cloud technologies ---- DevOps Tools ---- - Terraform, CloudFormation - Ansible, Chef - Jenkins, CircleCI, GitLab, Atlassian Bamboo - Docker, Kubernetes, AWS EKS, AWS ECS / Fargate - GitHub / BitBucket - Python, Bash, C#, Java ---- Cloud Services ---- - Amazone Web Services, Google Cloud Platform - AWS EC2, VPC, IAM, S3 - AWS ECS, AWS EKS - Lambda - Elastic Beanstalk, AWS OpsWork - RDS, SQL, MySql, PostgresSQL - DynamoDB - AWS CloudWatch - AWS CodePipeline --- Monitoring & Logging --- - AWS CloudWatch & CloudTrail - Prometheus, AlertManager - ELK (Elasticsearch, Logstash, Kibana) - DataDog, NewRelic - Grafana - PaperTrail, [login to view URL] ---- Web / Mobile Development Tools ---- - C# - Asp.Net - Asp.Net Core - MVC Asp.Net - Microsoft SQL, MySql, MongoDB, SQLite - EntityFramework - iOS, Xcode, Objective-C, Swift - Android, Eclipse, J2ME, SQLite
Freelancer Python Developers Pakistan
Ver todo Python Developers en Pakistan

Contacta Rashid H. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Portafolio

5752191
Client needed to host an API solution with a server less computation and database at the back-end. His RDS database was having filled through some of his existing apps and wanted to expose and fetch data from database using Lambda (python) and return to user through API Gateway. There were some files stored on S3 which also acted as a source in parallel to RDS. Solution that i implemented includes API Gateway publicly accessible, connected to Lambda functions, which fetch data from RDS PostgreSQL and for some request from S3. Technologies / Services used: API Gateway, AWS Lambda, Python, RDS PostgreSQL S3
AWS Lambda, API Gateway, S3, Python and RDS
5752020
Client requirements were as following - Setup ECS cluster and other resources like VPC, IAM, S3, RDS, ALB, Auto Scaling. - Containerize their existing apps and services - Setup CI/CD pipeline using Jenkins - Make deployment on ECS cluster. The project was handed over well in time using following services. - CloudFormation - Amazon ECS - VPC, S3, RDS - Jenkins
Setup ECS cluster using CloudFormation & CI/CD using Jenkins
5752018
Goal of the project was to - Automate infrastructure setup using CloudFormation script. - Infrastructure includes EKS, VPC (Public and private subnets, relevant Security Groups, NAT Gateway), Launch Configuration, Autoscalling Group, Load Balancer and RDS. - Deployment through AWS CodePipeline. Used Following tools and technologies during the project - CloudFormation - Amazon EKS - ECR - AWS CodePipeline, CodeBuild - VPC (Subnets, SecurityGroup, NAT Gateway etc) - Load Balancer - Launch Configuration - Autoscaling Groups - RDS
EKS cluster, RDS, CloudFormation and CodePipeline
5752014
Client had everything hosted on on-premise and wanted to migrate to AWS, setup CI/CD pipeline with Gitlab, enable monitoring and setup highly available infrastructure. Client's workload included Web Servers, MySQL database, Django Python Stack, Celery Queue system and wanted to have it migrated to Fargate, RDS (Aurora), GitLab, UAT and Prod environment. The goal was achieved with full customer satisfaction using following tools and services. Terraform (to setup infrastructure) ECS Fargate, Docker, ECR RDS Aurora GitLab CI/CD pipeline VPC, ALB, S3, IAM Roles, AWS Parameter Store, AWS Secrete Manager, CloudWatch, DataDog, Slack (for monitoring and alerting) Setup UAT and Prod.
GitLab CI/CD, ECS Fargate, RDS Aurora, Migration to AWS
5752013
Setup Kubernetes Cluster on EC2 Instances using Ansible and Terraform Client wanted to setup Kubernetes cluster in AWS EC2 instances for his production applications. The Kubernetes cluster that i setup included etcd, Calico, Helm, Istio and NetApp NFS components installed. Prometheus and Grafans is installed for cluster monitoring. ElasticSearch, FluentD and Kibana (EFK) components were installed for cluster logging. The cluster is highly available and scalable with multiple master nodes. Cluster's security including authentication and authorization was achieved through DEX and Gangway components, RBAC on the other hand was used to control user roles and permissions. I used Terraform to setup AWS infrastructure for the cluster and created Ansible playbooks to automatically setup Kubernetes cluster and install other components in cluster mentioned above. CI/CD is implemented through Jenkins.
Kubernetes using Ansible & Terraform - Elasticsearch, Istio
5746661
Setup Jenkins CI/CD Pipleline on Amazon ECS Cluster using Terraform: Client wanted to - Containerize their current applications. - Setup an ECS cluster to host their containerized apps. - Replace its current manual deployments environment with automated CI/CD pipeline. Terraform scripts are used to setup ECS cluster along with required VPC, Load Balancers and Auto Scaling Groups. Jenkins is used to setup their continuous integration and continuous deployment pipeline. Following tools and technologies were used - Terraform - Jenkins - Amazon ECS - ECR - GitHub - VPC - Docker
Jenkins CI/CD, Terraform and Amazon ECS cluster
5752191
Client needed to host an API solution with a server less computation and database at the back-end. His RDS database was having filled through some of his existing apps and wanted to expose and fetch data from database using Lambda (python) and return to user through API Gateway. There were some files stored on S3 which also acted as a source in parallel to RDS. Solution that i implemented includes API Gateway publicly accessible, connected to Lambda functions, which fetch data from RDS PostgreSQL and for some request from S3. Technologies / Services used: API Gateway, AWS Lambda, Python, RDS PostgreSQL S3
AWS Lambda, API Gateway, S3, Python and RDS
5752020
Client requirements were as following - Setup ECS cluster and other resources like VPC, IAM, S3, RDS, ALB, Auto Scaling. - Containerize their existing apps and services - Setup CI/CD pipeline using Jenkins - Make deployment on ECS cluster. The project was handed over well in time using following services. - CloudFormation - Amazon ECS - VPC, S3, RDS - Jenkins
Setup ECS cluster using CloudFormation & CI/CD using Jenkins
5752018
Goal of the project was to - Automate infrastructure setup using CloudFormation script. - Infrastructure includes EKS, VPC (Public and private subnets, relevant Security Groups, NAT Gateway), Launch Configuration, Autoscalling Group, Load Balancer and RDS. - Deployment through AWS CodePipeline. Used Following tools and technologies during the project - CloudFormation - Amazon EKS - ECR - AWS CodePipeline, CodeBuild - VPC (Subnets, SecurityGroup, NAT Gateway etc) - Load Balancer - Launch Configuration - Autoscaling Groups - RDS
EKS cluster, RDS, CloudFormation and CodePipeline
5752014
Client had everything hosted on on-premise and wanted to migrate to AWS, setup CI/CD pipeline with Gitlab, enable monitoring and setup highly available infrastructure. Client's workload included Web Servers, MySQL database, Django Python Stack, Celery Queue system and wanted to have it migrated to Fargate, RDS (Aurora), GitLab, UAT and Prod environment. The goal was achieved with full customer satisfaction using following tools and services. Terraform (to setup infrastructure) ECS Fargate, Docker, ECR RDS Aurora GitLab CI/CD pipeline VPC, ALB, S3, IAM Roles, AWS Parameter Store, AWS Secrete Manager, CloudWatch, DataDog, Slack (for monitoring and alerting) Setup UAT and Prod.
GitLab CI/CD, ECS Fargate, RDS Aurora, Migration to AWS
5752013
Setup Kubernetes Cluster on EC2 Instances using Ansible and Terraform Client wanted to setup Kubernetes cluster in AWS EC2 instances for his production applications. The Kubernetes cluster that i setup included etcd, Calico, Helm, Istio and NetApp NFS components installed. Prometheus and Grafans is installed for cluster monitoring. ElasticSearch, FluentD and Kibana (EFK) components were installed for cluster logging. The cluster is highly available and scalable with multiple master nodes. Cluster's security including authentication and authorization was achieved through DEX and Gangway components, RBAC on the other hand was used to control user roles and permissions. I used Terraform to setup AWS infrastructure for the cluster and created Ansible playbooks to automatically setup Kubernetes cluster and install other components in cluster mentioned above. CI/CD is implemented through Jenkins.
Kubernetes using Ansible & Terraform - Elasticsearch, Istio
5746661
Setup Jenkins CI/CD Pipleline on Amazon ECS Cluster using Terraform: Client wanted to - Containerize their current applications. - Setup an ECS cluster to host their containerized apps. - Replace its current manual deployments environment with automated CI/CD pipeline. Terraform scripts are used to setup ECS cluster along with required VPC, Load Balancers and Auto Scaling Groups. Jenkins is used to setup their continuous integration and continuous deployment pipeline. Following tools and technologies were used - Terraform - Jenkins - Amazon ECS - ECR - GitHub - VPC - Docker
Jenkins CI/CD, Terraform and Amazon ECS cluster

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Educación

Bachelor of Science (B.S.) Software Engineering

University of Arid Agriculture, Rwalpindi, Pakistan 2004 - 2008
(4 años)

Calificaciones

AWS Certified Cloud Practitioner

Amazon Web Services
2018
AWS Certified Cloud Practitioner

AWS Certified Solutions Architect

Amazon Web Services
2018
AWS Certified Solutions Architect - Associate (SAA) https://www.certmetrics.com/amazon/public/transcript.aspx?transcript=VDT2ZE1C1NEQ1M54

Contacta Rashid H. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

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Principales habilidades

Python
.NET
Windows Desktop
Linux
SQL

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