Ivan Shamayski - Резюме Python developer

Python developer

Sfera IT

  • 2000 €
  • Hiszpania (Barcelona)
  • 10-10-2022

Osoba kontaktowa: Ivan Shamayski

Kraj rezydencji: Rosja

Wiek: 29

Telefon:

Doświadczenie zawodowe:

Яндекс Практикум
Python Developer
january 2022 - Present (10 months)
Moscow, Russia
Page 1 of 4
Yandex.Practicum
practicum.yandex.ru/profile/backend-developer/

Python Developer (training)

Technology stack: Python 3, Django 2.2 LTS, PostgreSQL, gunicorn, nginx,
Yandex.Cloud(Ubuntu 18.04), Django REST Framework, SQLite3, GIT, pytest.

1. Fitness tracker module.
Stack: Python 3
The basics of OOP are used.
Link to GitHub: https://github.com/Strannik1922/hw_python_oop

2. Yatube is a social network for publishing posts.
Stack: Python 3, Django 2.2 LTS, SQLite3
Pagination of posts and caching are used. Registration is implemented with
data verification. Tests have been written to check the operation of the service.
Link to GitHub: https://github.com/Strannik1922/hw05_final_yatube

3. REST API for the Yatube project
Stack: Python 3, Django 2.2 LTS,Django REST Framework, SQLite3, Djoser,
GIT
Implemented authentication by Djoser token.
Link to GitHub: https://github.com/Strannik1922/api_final_yatube

4. Launching docker-compose
Stack: Python 3, Django 2.2 LTS, PostgreSQL, gunicorn, nginx,
Yandex.Cloud(Ubuntu 18.04), Docker
Online service of the api_yamdb project. The project is running on a server in
Yandex.Cloud in three containers: Nginx, PostgreSQL, Django+Gunicorn
Link to GitHub: https://github.com/Strannik1922/infra_sp2

Edukacja:

Ufa State Petroleum Technical University

Umiejętności zawodowe i inne:

Python
CSS
HTML
Django Framework
REST
SQL
MySQL
PostgreSQL
ООП
SSH
Nginx
Gunicorn
WSGI
UbuntuPostgreSQLPythonMySQLDjango

Dodatkowo:

Hi, my name is Ivan. I work in Stockholm Precision Tools. I havedevelop a number of important skills. Our company specializesin inclinometric well research. I used to be working a SPD andSchlumberger. As a result, he acquired excellent skills and abilities inthe interpretation of geophysical material, the ability to quickly makea decision on problem wells, knowledge of well logging methods.

For the first time I got acquainted with python at the design institute,when the task was set: to consider modeling the gravitational field onthe surface for a given model of subsurface density. The great thingis that with popular Python libraries, this is done literally in a few linesof code, which is especially valuable to me.

I do:
- backend development in Python 3;
- compiling websites on Django;
- implementation of REST API services on DRF;
- working with a database (Postgres, SQL);
- containerization (Docker)

My hobby:
- programming;
- reading books

I read books:
- Django 3.0 (Vladimir Dronov);
- Python (Mark Lutz)
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