I will automate excel CSV and data processing using python
Technical Project Manager, Python, SQL and Automation
About this Gig
Tired of spending hours cleaning, copying, merging, or transforming Excel and CSV files manually?
I will build a reliable Python automation that turns your repetitive data process into a reusable workflow.
I can help you with:
Excel and CSV data cleaning
Data transformation and normalization
Merging and consolidating multiple files
Validation and duplicate removal
Automated calculations and business rules
Structured reports and output files
SQL-related data processing when required
Reusable Python source code
My focus is not just making a script run once. I build clear, maintainable automations designed around your actual business process.
Before starting, I review your input files, expected output, processing rules, and any relevant constraints.
Please contact me before ordering if your project involves APIs, complex databases, web scraping, authentication, external systems, or requirements outside the selected package.
You will receive a tested solution, source code, and clear delivery based on the agreed scope.
Technology:
Python
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Other
My Portfolio
FAQ
What do you need from me before starting?
Please provide sample input files, the expected output, a clear explanation of the current manual process, and any rules or validations the automation must follow.
Can you work with multiple Excel or CSV files?
Yes. The number of files depends on the selected package. Basic covers one file, Standard covers up to three files, and Premium covers up to five files or a structured data source.
Will I receive the Python source code?
Yes. Source code is included so you can keep, review, and reuse the automation delivered for the agreed workflow.
Do you integrate APIs or external systems?
API integrations and complex external systems are not included by default in this Gig. Please message me first so I can review the documentation, authentication, dependencies, and scope before providing a custom offer.
What counts as a revision?
A revision covers reasonable adjustments to the functionality already agreed in the original scope. New features, additional data sources, new workflows, or substantially different requirements are quoted separately.
