Python

I use Python for automation work that sits above raw data pipelines and below the dashboard layer — the glue that turns data into something a senior executive can read in five minutes. My most visible Python project is a Claude Code + Python pipeline that generates weekly AI adoption reports for senior leadership, pulling from multiple data sources and producing formatted outputs automatically. I also use Python for the AWS Lambda scripts powering the AI telemetry ingestion pipeline.

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Work examples

Executive Report Automation Pipeline

Claude Code + Python pipeline that ingests multi-source AI usage data weekly and generates formatted executive briefings for senior IT leadership, reducing manual reporting effort significantly.

AWS Lambda Ingestion Scripts

Python Lambda functions that collect AI telemetry from disparate sources, normalize it, and land it in S3 for downstream Athena querying.

Screenshots shown are placeholders. Built with synthetic data — original architecture, design, and analysis are my own work.