AWS Cloudformation Stack Deployment using Azure DevOps CICD Pipe

Tahir Ali

Cloud Infrastructure Architect
Data Engineer
DevOps Engineer
AWS

In this project, I specialize in the deployment of AWS CloudFormation stacks using Azure DevOps Pipeline to create an infrastructure-as-code foundation for your AWS environment. The core of this deployment is a Python-based AWS Lambda function that extracts data from an API and seamlessly loads it into Amazon S3 for storage and Amazon Redshift for analysis

AWS CloudFormation Stack: I will design, configure, and deploy a CloudFormation stack that automates the provisioning of essential AWS resources such as Lambda functions, S3 buckets, and Redshift clusters. This provides a scalable and consistent infrastructure for your data processing needs.

Python Lambda Function: I will develop a Python Lambda function that connects to the specified API, retrieves data, performs any necessary transformations, and efficiently loads it into both Amazon S3 and Amazon Redshift. This function will be optimized for speed, reliability, and data integrity.

Azure DevOps CI/CD Pipeline: I have created a fully automated CI/CD pipeline in Azure DevOps to manage your Lambda function's code deployment. This pipeline ensures rapid and reliable delivery of updates and improvements to your data extraction and processing solution.

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