One week of senior Python engineering to ship the automation or pipeline you've been postponing.

Typical scopes: an ETL or data pipeline (Pandas, SQLAlchemy, Airflow if needed), an n8n + Python workflow for system-to-system integration, a scheduled job that pulls from an API and pushes to a database, a CSV-/Excel-cleaning tool, or a scraping pipeline with proper retry and error handling.

What you get: working code in your repo, basic test coverage, a clear README, and deployment notes (Docker, Azure Functions, AWS Lambda, or a plain VPS). I write code your team will still understand in six months.

Best fit: teams without a dedicated data engineer who keep hitting the same manual workflow.

Background: Python is the primary language across my engineering, data, and AI work — including ETL pipelines on Azure (Data Factory, SQL Server) and automation workflows for industrial and consulting clients.