Python Scripting for Data Workflows

Ioana - Alexandra Popa

Starting at

$

100

/hr

About this service

Summary

I create clean, documented Python scripts that automate messy or repetitive data workflows—cleaning, merging, enriching, transforming, or extracting data so your team doesn't have to. Whether you need a quick fix or a reusable internal tool, I build fast, scalable solutions that save time and reduce error.

FAQs

  • Do I need technical knowledge to use the script?

    Not necessarily. I’ll provide a clear usage guide, and I can include a simple interface if your team prefers not to touch code.

  • Can the script run on a schedule or trigger automatically?

    Yes. I can set up automation using lightweight tools like cron, Task Scheduler, or Python-based schedulers depending on your system.

  • Can this connect to APIs or cloud platforms?

    Absolutely. If you need to pull data from an API or push results into a CRM, Google Sheets, or a database, I can handle that.

  • Is the code reusable for future tasks?

    Yes—everything is modular and documented. I don’t believe in black-box solutions that fall apart the moment your team needs to adapt them.

  • What if we need changes later?

    I offer follow-up support or script enhancements as a separate engagement if your needs evolve.

What's included

  • Scripted Workflow (.py or notebook)

    A clean, documented Python script or Jupyter notebook tailored to your use case—data cleaning, merging, transformation, enrichment, or automation. Includes comments, usage instructions, and modular code blocks for reuse.

  • Input/Output Mapping & Data Dictionary

    A concise reference (Excel or Markdown) listing expected input formats, transformations applied, and resulting outputs—ensuring clarity for teams who’ll use or maintain the workflow.

  • Quick Start Guide / Usage Instructions

    A 1–2 page document (PDF or Notion-style) explaining how to run the script, adjust parameters, and troubleshoot common issues. Designed for technical or semi-technical users who might need to tweak or reuse your work later.

  • UI Wrapper (Streamlit)

    A lightweight UI so non-technical users can run the workflow via a browser, change settings, or upload files without code.

  • Scheduled Automation

    Wrap your script in a scheduled task (e.g. using APScheduler, Python + cron, or Windows Task Scheduler) for recurring runs.

  • API Integration

    If needed, the script can pull or push data via REST APIs (e.g., Google Sheets, Airtable, Pipedrive, custom CRM).

Skills and tools

Database Engineer

Data Scientist

AI Developer

dbt

dbt

Jupyter

Jupyter

pandas

pandas

Python

Python

Streamlit

Streamlit

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