Contact person: Modular Python Data Processing Scripts

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Location: Richmond Hill, Canada

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I have between six and ten distinct data-processing tasks and I want each one isolated in its own Python script for easy maintenance and reuse. You can work in either Python 2.x or 3.x—whichever you prefer—just stay consistent across all files.

Every script should:
• Read the input source defined in the task brief.
• Apply the specified transformation, cleaning step, or aggregation.
• Write the result to the output format I list (typically CSV or JSON).

Deliverables
• A standalone .py file for each task, clearly named after its purpose.
• A concise docstring at the top of every file explaining required arguments, input/output paths, and a quick run example.
• One README (or similar note) summarising execution order, external libraries if any, and a [login to view URL] when non-standard packages are needed.

I’ll validate each script with my own datasets; acceptance is complete once they execute without errors and the outputs match the expected samples." (client-provided description)