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Apache, Jenkins, AWS, GCP, MySQL, Azure Pipeline

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JK

Jignesh K.

Expert

Devops Engineer

* Zero Evaluation Fee

Summary
Technical Skills
Projects Worked On
Jignesh K.
00:00 / 00:42
Jignesh K.
00:00 / 01:04
Summary
  • Having 9+ years of Experience in experience in designing, implementing, and managing DevOps processes and infrastructure. Skilled in automating software delivery pipelines, optimizing cloud-based environments, and fostering collaboration between development and operations teams.
  • Achieved Certification For AWS Certified Solutions Architect - Associate.
  • Excellent experience in AWS Architecture Diagrams for design Software Applications.
  • Excellent experience in Provisioning resources on any cloud using Terraform or Ansible tool.
  • Extensive experience in deploying code using Pipeline to targate resource like On Premise Servers, AWS Amplify, EC2 , ECS, KUBERNETES (EKS,AKS,GKS OR KubeAdm).
  • Excellent experience in Implementing Various Databases, SAST, DAST Tools & Monitoring tool.
  • A focus on quality involves identifying best practices, technologies, tools, procedures & Security compliance frameworks.
Technical Skills

Web Server: Apache,Nginx,IIS,Apache Tomcat,Caddy.

Databases: MySQL, MariaDB, MongoDB, Redis, DynamoDB, PostgreSQL, MS SQL.

CI/CD Tools: Jenkins, ArgoCD, Bitbucket, Git lab Pipeline, Azure Pipeline.

IaC Tools: Terraform, Ansible.

Container Orchestration Tools: Kubernetes, EKS, AKS, GKS, Fargate, ECS, Docker Swarm.

Log & Monitoring Tools: NagiOS, Datadog, Cloud watch, Grafana, Graylog, ELK, Prometheus.

Continuous Testing Tools: Jenkins, JUnit, JMeter, Selenium.

Continuous Inspection Tools: SonarQube.

CVS Tools: Git, SVN, Github, Bitbucket, Git lab, AWS CodeCommit.

Programming Language: Shell Scripting, Python.

Operating System: Linux (Redhat,Centos,Ubuntu,Debian,Mint,Kali), Windows.

Projects worked on

Project: Alto9

Duration: 13 months

Description: Alto9 is a leading and innovative cloud service provider dedicated to delivering comprehensive serverless cloud computing solutions to businesses and organizations of all sizes. The primary goal of the project is to leverage Alto9's expertise in cloud services and cloud computing technologies to design, deploy, and manage cutting-edge cloud solutions tailored to meet the unique requirements of their end clients.

Skills:

  • Terraform, Helm Chart, AWS Amplify, VPC, NAT Gateway, EKS, Fargate Auto Scaling group, EC2, AWS EKS
  • CloudFront, Grafana, Prometheus, Fluentd, Graylog, Caddy, S3, RDS MySQL Cluster Multi-AZ, ALB
  • SES, SNS, PinPoint, BitBucket Pipeline, Bitbucket Jira Software, SonarQube
  • Windows Server 2019, IIS WebServer, MS SQL, OpenVPN, ArgoCD

Responsibilities:

  • DevOps Engineer: Design resilient, highly available, fault-tolerant, secure, and cost-optimized AWS architecture diagrams and provide estimated cost quotation plans.
  • Infrastructure Provisioning:
    Designed and implemented the infrastructure for the EKS cluster using Terraform. Defined necessary AWS resources like AWS Amplify, VPC, subnets, security groups, IAM roles, ALB, and configured the EKS cluster and worker nodes with AWS EKS Fargate cluster for NodeJS & CFML applications.
  • Mobile Application Deployment: Deployed mobile applications using AWS Amplify Service.
  • Frontend Application Solution: Implemented AWS CloudFront with an S3 bucket for frontend applications.
  • Tool Integration: Integrated tools like ArgoCD, Grafana, Prometheus, and Graylog with Fluentd & Elasticsearch, deployed using Helm Chart with Terraform code.
  • CI/CD Implementation:
    Set up Bitbucket pipelines for continuous integration and deployment (CI/CD). Defined pipeline stages and steps for building, testing, and deploying applications, configured build tools, ran unit tests, and packaged artifacts for deployment.
  • Source Code Management:
    Managed the source code repository in Bitbucket, ensuring proper version control and branching strategies. Collaborated with development teams to establish best practices for code commits, pull requests, and code reviews.
  • Database Solution Implementation:
    Implemented database solutions for the application using AWS RDS MySQL with Multi-AZ clusters, and read replicas to reduce the load on the master database.
  • Monitoring and Logging:
    Implemented monitoring and logging solutions for the EKS cluster and applications using Fluentd with Graylog & Elasticsearch for storing logs. Also implemented Prometheus with Grafana dashboards for monitoring RDS MySQL DB logs.
  • Email and Notification Implementation:
    Set up email and notification solutions for the application using SES, SNS, and PinPoint.

 

Project: Funfull

Duration: 18 months

Description: Funfull is an application that provides entertainment at affordable prices to encourage people to stay active and healthy. In today's digital age, it can be challenging to motivate children to engage in physical activities and socialize with others. Funfull offers a wide range of active-play options, allowing users to book tickets for enjoyable experiences filled with engaging activities.

Users can also purchase Funfull gift cards and FunCash to enhance their experience without worrying about payment errors. Additionally, Funfull allows membership sharing for a great experience with friends and provides unlimited access to venues with a small charge.

Skills:

  • Terraform, VPC, NAT Gateway, EC2, Auto Scaling Group, AWS EKS
  • CloudFront, S3, WAF, ALB, SES, SNS, PinPoint, DataDog
  • BitBucket Pipeline, OWASP ZAP, SonarQube, MongoDB Atlas

Responsibilities:

  • DevOps Engineer:
    Design resilient, highly available, fault-tolerant, secure, and cost-optimized AWS architecture diagrams with estimated cost quotations.
  • Infrastructure Provisioning:
    Designed and implemented the infrastructure for the EKS cluster using Terraform. Defined necessary AWS resources like VPC, subnets, security groups, IAM roles, ALB, and configured the EKS cluster and worker nodes for NodeJS applications.
  • Frontend Application Solution:
    Implemented AWS CloudFront with S3 bucket for frontend applications.
  • CI/CD Implementation:
    Set up Bitbucket pipelines to enable continuous integration and deployment (CI/CD) for the project. Defined stages and steps in the pipeline for building, testing, and deploying applications, and configured build tools, ran unit tests, and packaged artifacts for deployment.
  • Source Code Management:
    Managed the source code repository in Bitbucket, ensuring proper version control and branching strategies. Collaborated with development teams to establish best practices for code commits, pull requests, and code reviews.
  • Environment Management:
    Established different environments (Development, Staging, UAT, Production) within the EKS cluster. Set up appropriate networking, security, and resource allocation for each environment. Implemented strategies for managing environment-specific configurations and secrets.
  • Database Solution Implementation:
    Implemented database solutions using MongoDB Atlas Cluster, establishing peering with AWS VPC for a private connection between EKS and MongoDB for the application.
  • Monitoring and Logging:
    Implemented monitoring and logging solutions for the EKS cluster and applications using DataDog.
  • Email and Notification Implementation:
    Set up email and notification solutions for the application using SES, SNS, and PinPoint.

 

Project: Leading Automobile App

Duration: 22 months

Description: Enterprise Risk Solution Leading Automobile App is a project in the automobile industry. It provides a platform where users can register their vehicles, book services, and track all bookings and service history. The app also offers facilities to buy accessories and other vehicle-related services via the mobile application. Users can purchase new or used vehicles and even book a test drive before buying.

The platform also supports dealer operations, allowing dealers to manage accessories, services, offers, and payment orders. The system enables users to track orders and manage dealer operations efficiently. Users receive notifications for various actions, such as service reminders, test drives, and roadside assistance scheduling.

Skills:

  • Terraform, VPC, NAT Gateway, EC2, Auto Scaling Group, AWS EKS
  • RDS MySQL, CloudFront, S3, ALB, SES, SNS, DataDog
  • Jenkins Pipeline, SonarQube, OpenVPN

Responsibilities:

  • DevOps Engineer:
    Design resilient, highly available, fault-tolerant, secure, and cost-optimized AWS architecture diagrams with estimated cost quotation plans.
  • Infrastructure Provisioning:
    Designed and implemented the infrastructure for the EKS cluster using Terraform. Defined necessary AWS resources like VPC, subnets, security groups, IAM roles, ALB, and configured the EKS cluster and worker nodes for NodeJS applications.
  • Frontend Application Solution:
    Implemented AWS CloudFront with S3 bucket for frontend applications.
  • CI/CD Implementation:
    Set up multi-branch Jenkins pipelines for continuous integration and deployment (CI/CD). Defined pipeline stages and steps for building, testing, and deploying applications. Configured build tools, ran unit tests, and packaged artifacts for deployment.
  • Source Code Management:
    Managed the source code repository in GitHub, ensuring proper version control and branching strategies. Collaborated with development teams to establish best practices for code commits, pull requests, and code reviews.
  • Environment Management:
    Established different environments (Staging & Production) within the EKS cluster. Set up appropriate networking, security, and resource allocation for each environment. Implemented strategies for managing environment-specific configurations and secrets.
  • Database Solution Implementation:
    Implemented database solutions using AWS RDS MySQL for the application.
  • Monitoring and Logging:
    Implemented monitoring and logging solutions for the EKS cluster and applications using DataDog.
  • Email and Notification Implementation:
    Set up email and notification solutions for the application using SES, SNS, and PinPoint.

 

Project: RMM - IoT Project (EMS, FMS)

Duration: 18 months

Description: Dedicated to transforming industries through IoT solutions, this project empowers businesses to achieve greater efficiency, productivity, and innovation. Our commitment to leveraging technologies like MQTT, cloud services, IoT Core, IoT Greengrass, RDS, R-PIE, and cloud computing makes us the go-to partner for cutting-edge IoT development.

Skills:

  • AWS VPC, IoT Core, AWS RDS, EC2 Instance
  • S3 Bucket, CloudFront, ACM, WAF
  • AWS Route53, Jenkins, IAM Users/Roles
  • Auto Scaling Group, Elastic Load Balancer

Responsibilities:

  • DevOps Engineer:
    Designed and implemented secure AWS VPC configurations.
  • IoT Core Management:
    Managed IoT Core services for seamless communication between devices and cloud applications.
  • Database Management:
    Set up and maintained scalable and highly available RDS instances.
  • EC2 Provisioning:
    Provisioned and optimized EC2 instances to meet application requirements.
  • S3 Bucket Management:
    Configured and managed reliable S3 buckets for data storage.
  • CloudFront Optimization:
    Implemented and optimized CloudFront distributions for low-latency content delivery.
  • Web Application Security:
    Managed AWS WAF to protect applications from web-based attacks.
  • IAM Management:
    Implemented secure IAM user and role management.
  • Auto Scaling:
    Set up and managed Auto Scaling groups for efficient resource scaling.
  • Load Balancing:
    Configured and managed Elastic Load Balancers for improved availability and performance.
  • Code Quality Inspection:
    Set up and configured SonarQube for code quality inspection.
  • CI/CD Automation:
    Implemented and maintained Jenkins for continuous integration and deployment automation.
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