You will get I will clean, transform, and validate CSV or Excel data with Python
Rising Talent
Project details
I will clean, transform, and validate CSV or Excel data with Python. I review your source files and expected output, define clear transformation rules, handle missing or inconsistent values, and deliver a repeatable workflow with readable code and concise notes. This service fits reporting cleanup, imports, migrations, recurring spreadsheets, and small data pipelines. I confirm scope and edge cases first, then process representative samples, validate results, and explain how to run the workflow again. Please use placeholders or a secure handoff for credentials and never send passwords or API keys. I personally review the output before handoff so the result is understandable and maintainable.
What's included
| Service Tiers |
Starter
$25
|
Standard
$75
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 0 | 0 | 0 |
Frequently asked questions
About D
Full-Stack Developer | Python, React, APIs & AI
Guangzhou, China - 7:41 pm local time
I can build or improve:
• Python backends, FastAPI services, REST APIs, webhooks, authentication, validation, and error handling
• React/TypeScript/JavaScript interfaces, responsive pages, dashboards, admin panels, forms, tables, and reusable components
• Automation tools, Python CLI utilities, web scraping, CSV/Excel processing, ETL, data cleanup, and scheduled workflows
• Third-party API integrations, data pipelines, Docker-based local setups, packaging, and deployment preparation
• Bug fixes, refactoring, regression tests with pytest, performance troubleshooting, and practical security hardening
I can work from a clear specification, a backlog, or an unfamiliar codebase. I focus on identifying the real problem, implementing a focused solution, and leaving code that another developer can run and maintain. For larger builds, I provide clear milestones, surface risks early, and keep communication concise and actionable.
The projects on my profile demonstrate Python automation, Dockerization, backend fixes with focused tests, and code reliability/security reviews. I also publish clearly labeled personal contributions and forks based on MIT/Apache-licensed open-source projects. I preserve original attribution and licensing, and describe only the changes I personally made.
I use AI tools when they improve research or debugging speed, but I personally review, test, and refine the final implementation. You get readable code, practical documentation, and an accountable delivery process—not just a quick patch.
If you need someone who can independently turn an idea, workflow, or existing codebase into a usable product, send me the requirements and I’ll propose the shortest path to a solid result.
Steps for completing your project
After purchasing the project, send requirements so D can start the project.
Delivery time starts when D receives requirements from you.
D works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope and sample data
Review the source files, expected output, transformation rules, and edge cases before implementation.
Clean and transform the data
Apply readable Python rules for cleaning, normalization, transformation, and consistent output formatting.