• Projects 15
  • Rating 5.0
  • Rating 2 310

Budget: 4000 UAH Deadline: 2 days

We can do this, but as I already wrote, there are questions that need answers. It is possible, just the price will depend on the structure.

Andrey K.
1 296 1
  • Projects 1 300
  • Rating 5.0
  • Rating 105 011

Budget: 5000 UAH Deadline: 1 day

Hello. I have experience with Django/Python. I am ready to collaborate. Contact me.

  • Projects 14
  • Rating 5.0
  • Rating 915

Budget: 4200 UAH Deadline: 1 day

Good day.
I have experience implementing asynchronous loading of large CSV files in background tasks with preliminary data validation and instant user response — the solution has been successfully applied in a high-load Django project.
I am ready to use this approach for stable and fast loading of Excel files in your application.

I have been working with Python for over 7 years, including more than 2 years with Django (including data processing optimization, integration with Celery/RQ queues).

  • Projects 74
  • Rating 5.0
  • Rating 5 906

Budget: 3000 UAH Deadline: 1 day

I can do it. I need to know more details: what database, what to write in which fields of the database models. I will be happy to help.

  • Projects 8
  • Rating 5.0
  • Rating 667

Budget: 2000 UAH Deadline: 1 day

Good evening.
Write for a more precise discussion of the project details.

  • Projects 20
  • Rating 5.0
  • Rating 2 475

Budget: 2500 UAH Deadline: 1 day

Hello
I have extensive experience with Django ORM
I will do it now, quickly and efficiently

  • Projects 11
  • Rating 4.5
  • Rating 3 973

Budget: 3000 UAH Deadline: 1 day

Hello. I can complete your order in Python, Django. What database do you need?

Vitalii Murovany

Vitalii Murovany

Winning proposal
38 2
  • Projects 38
  • Rating 4.7
  • Rating 5 350

Budget: 1700 UAH Deadline: 1 day

I have experience working with Django (ORM, query optimization, working with large files). I will implement a script for fast and secure import of large Excel files into the database using Django ORM. I will anticipate processing large volumes of data without overloading memory (batch processing, bulk_create, query optimization), error logging, and the ability to reload.

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