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Aziz M. Cloud, DevOps and Infrastructure Platforms

My name is Aziz M. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Microsoft IIS, Docker, Terraform, Jenkins, New Relic, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I’ve worked on include: AWS Managed Kubernetes Service (EKS), Advanced CI/CD Pipeline with GitHub Actions, AWS Lambda & Terraform. I am based in Bengaluru, India. I've successfully completed 2 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • Cloud, DevOps and Infrastructure Platforms

    7 years

  • Microsoft IIS

    1 Year

  • Docker

    4 Years

  • Terraform

    5 Years

Additional skills

  • Microsoft IIS
  • Docker
  • Terraform
  • Jenkins
  • New Relic
  • Git
  • Apache Airflow
  • Ansible
  • Python
  • Kubernetes
  • Azure
  • Amazon Web Services
  • Apache HTTP Server
  • HashiCorp Vault
  • Red Hat Enterprise Linux

Direct hire

Potentially possible

Previous Company

Microsoft India

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Experience Highlights

AWS Managed Kubernetes Service (EKS)

The customer transformed their application by adopting a microservices architecture, giving it new life. I designed cutting-edge infrastructure to host it on Kubernetes, ensuring orchestration, scalability and future growth. Using `eksctl` and CloudFormation, I deployed EKS clusters, while Helm charts managed deployments. I also created a CI/CD pipeline with automated testing and blue-green deployments and integrated security scanning. Additionally, I optimized resources for cost-efficiency, configured auto-scaling and implemented centralized monitoring and logging for performance visibility.

Advanced CI/CD Pipeline with GitHub Actions, AWS Lambda & Terraform

In this meticulous project, I architected and executed an automated CI/CD pipeline to enhance the deployment, backup and quality assurance processes for AWS Lambda functions. 🏆 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✓ 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬: Leveraged the power of GitHub Actions to craft an automated pipeline that seamlessly deploys AWS Lambda functions. The process was further streamlined with Infrastructure as Code (IaC) principles using Terraform. ✓ 𝐁𝐚𝐜𝐤𝐮𝐩 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Configured the pipeline to automatically archive and store the Lambda function's source code in an S3 bucket post-deployment, ensuring data integrity and recovery. ✓ 𝐂𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐒𝐭𝐚𝐭𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: For enhanced collaboration and safety, I integrated AWS S3 and DynamoDB to remotely store Terraform state files. This setup not only centralized state information but also ensured state locking to avoid potential conflicts in multi-developer scenarios. ✓ 𝐋𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: Configured AWS Lambda to direct both its logs and metrics to AWS CloudWatch. This integration ensures in-depth, real-time insights into the function's operations and performance, facilitating prompt troubleshooting and performance optimization. ✓ 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: Designed an intelligent CI/CD routine that dynamically generates documentation based on the current Terraform configuration. This ensures that stakeholders and developers always have access to the latest infrastructure information without manual intervention. ✓ 𝐄𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐂𝐨𝐝𝐞 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: Embedded a Terraform linter in the CI/CD process, enforcing code quality by ensuring Terraform configurations align with best practices and only allowing Pull Requests to merge post-validation. ✓ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐂𝐨𝐝𝐞 𝐔𝐩𝐝𝐚𝐭𝐞𝐬: Programmed the pipeline to trigger Lambda function updates solely when there's a change in the source code, conserving resources and time. ✓ 𝐒𝐞𝐜𝐫𝐞𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Emphasizing security, I utilized GitHub secrets for storing critical workflow data. This ensured that sensitive information, like API keys or access tokens, remained encrypted and secure from potential threats. Through this project, I have integrated modern DevOps practices, cloud services and code quality principles to deliver a resilient and efficient CI/CD pipeline that promises stability, security, and scalability.

Education

  • Birla Vishvakarma Mahavidyalaya

    Bachelor of Technology (BTech) in Electronics and Communication Engineering

    2017-01-01-2021-01-01

Languages

  • English
  • Gujarati
  • Hindi

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