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If you work with data in AWS, you've probably spent more time than you'd like clicking through the S3 console, navigating to Athena, and copying query results. This video shows you how to skip all that by letting Claude Code handle the heavy lifting for you using the AWS CLI. I've been working with data for over 9 years, and my current team has multiple reporting jobs that produce CSV files saved to AWS. Setting up Athena tables and navigating S3 used to mean context switching between interfaces. Now I describe what I want in plain English, Claude figures out the S3 paths and writes the Athena queries, and my job becomes quality control instead of query writing. This method is perfect for data engineers, data analysts, bi analysts, and more, working in this cloud data environment. In this video, you'll learn: 1) How to install and configure the AWS CLI for S3 and Athena access 2) How to configure Claude Code so it succeeds with the AWS CLI 2) How to have Claude Code handle an end-to-end data analysis using the S3 and Athena capabilities in the AWS CLI ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RESOURCES GitHub Repo with all code and sample data: https://github.com/kyle-chalmers/data... AWS CLI Installation Guide: https://docs.aws.amazon.com/cli/lates... AWS CLI S3 Command Reference: https://docs.aws.amazon.com/cli/lates... AWS CLI Athena Command Reference: https://docs.aws.amazon.com/cli/lates... IMF Climate Change Indicators (data source): https://climatedata.imf.org/ jq download: https://jqlang.org/download/ AWS Free Tier Account: https://aws.amazon.com/free/ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ CHAPTERS 00:00 - Why AWS CLI + Claude Code Rocks 03:07 - Key AWS Terms You Need to Know 04:33 - AWS CLI Overview and Installation 06:58 - AWS IAM Permissions Configuration 09:34 – AWS CLI Authentication and Accounts 10:35 - jq Installation Prerequisite 11:07 - AWS CLI Context in CLAUDE.md 12:26 - The Demo Dataset (IMF Climate Data) 13:30 - Using Claude to Analyze the Data with the AWS CLI S3 and Athena Features 18:27 - AWS Console Walkthrough (The "Before" Picture) 20:43 - Wrap Up and Next Steps ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ I'm Kyle Chalmers and after 8+ years leading data teams, I'm here to make AI approachable for all data professionals and enthusiasts. Subscribe for weekly/bi-weekly insights, demos, and lessons on the future of data work. Connect with my business: https://www.kclabs.ai/ Connect with me on LinkedIn: / kylechalmers I plan on introducing more content in my Substack publication in the future as well: https://substack.com/@kylechalmers1 #AWS #S3 #Athena #ClaudeCode #AWSDataLake #DataEngineering #DataAnalyst #AI #GenAI #CloudComputing #AWSCLI #DataLake #BusinessIntelligence #DataProfessionals #AIForData #DataWorkflow #FutureOfWork #DataCareers #Claude #artificialintelligence