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Fiverr Pro
English
$
USD
I will create python scripts for data processing, excel automation, and web scraping
Full Stack Developer NET Core Angular SQL Server
Hi, I’m Lazar, Full-Stack Web Developer specializing in .NET Core backend APIs, Angular frontends, and SQL Server databases. I create scalable and secure web applications tailored to your business nee...
About this Gig
Do you need a reliable Python developer to automate repetitive tasks, process data, or build custom scripts for your workflow? Youre in the right place!
With strong experience in Python, data processing, and automation, I will create clean, well-documented scripts that save you time and reduce manual work.
What I can do for you:
- Clean, filter, and transform Excel/CSV/JSON data
- Automate reports and repetitive workflows
- Web scraping from websites or APIs
- Merge and process multiple datasets
- Export results to Excel, CSV, or databases
- Custom automation tailored to your needs
Why choose me?
Clean, optimized, and well-commented code
Step-by-step instructions for running scripts
Fast delivery and responsive communication
100% satisfaction guaranteed
Whether you need a small one-time script or a full automation solution, I can help. Lets discuss your task and get started today!
My Portfolio
FAQ
Do you provide sample code before delivery?
Yes, I can send a short demo snippet or screenshots so you can confirm the script is working as expected.
What if my dataset is very large (100k+ rows)?
No problem! For larger datasets, I use optimized libraries like pandas and can split processing into chunks for performance.
Will you also set up the script on my computer/server?
Yes, I can provide setup instructions or assist remotely so everything runs smoothly.
Do you handle websites with logins for scraping?
Yes, as long as you have proper access credentials and scraping complies with the website’s terms of service.
Can you integrate the script with a database?
Yes, as a Gig Extra I can connect the script to SQL (MySQL, PostgreSQL, SQL Server) or NoSQL (MongoDB).
