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Andrey M.
Drop Here

Andrey M.

Python / JavaScript developer

$25.00/hr

Krasnoyarsk, Russia

Greetings! Hope to work with you if want to implement an ... moreinteresting idea and want to use good technologies (full-time and long-term work is highly preffered). Here is the list of my previous experience with technologies (If you'll be tired to read the all list, you also may want to check information in the bottom): - Django: about 12 different projects in the 4 different companies, some of these are done from scratch, some are been: fixed, added functionality, etc. - Python services: a lot usage of: virtualenv, supervisor, gunicorn+nginx as a base for a web distribution. Fabric is used to deploy projects. - JavaScript: knockout forms manipulation in django projects, a few chart libs, intensive work with the "smartadmin" template pack, html5 forms, canvas image manipulations, a lot of jquery and other libs, etc.. - Git: all projects are hosted on the bitbucket / github / gitlab, active work with branches, all deployment are processed via git repos (also hg was used, but a long time ago) - AWS: ec2, s3, cloudfront, rds, elb, sqs, opsworks. The custom cookbook was wrote for OpsWorks, a few layers, load-based instances + autoscale instances (sqs length meters) all was tested in a Vagrant box. - Google Analytics: a complex data processing (ETL/DW) from the large site (also a lot of sources are used there: emails, APIs, ftp files with different types, databases) - Parsing: lxml / leaf libs is used for data parsing in a conjuction with scrapy - Celery: is used for task planning and Scrapy spiders in a few projects with local RabbitMQ server and AWS SQS. - Flask: have a bit experience with Flask / SQLAlchemy / Jinja2 - permissions system like django, but with per-object permissions. - Bootstrap: as the "smartadmin" part, documents flow projects initial designs, admin interfaces. My usual development environment: - Laptop with a Debian (jessie currently) - PyCharm - a lot of terminals, "screen" to servers if needed - chrome / iceweasel (firefox) - skype / hangouts / gmail / google docs A few links to the well-known resources with my participate: http://bugs.python.org/issue20277 https://github.com/yourlabs/django-autocomplete-light/issues/189 http://stackoverflow.com/questions/21260987/add-a-dynamic-form-to-a-django-formset-using-javascript-in-a-right-way/21260988 less

Overview

Greetings! Hope to work with you if want to implement an interesting idea and want to use good technologies (full-time and long-term work is highly preffered). Here is the list of my previous experience with technologies (If you'll be tired to read the all list, you also may want to check information in the bottom): - Django: about 12 different projects in the 4 different companies, some of these are done from scratch, some are been: fixed, added functionality, etc. - Python services: a lot usage of: virtualenv, supervisor, gunicorn+nginx as a base for a web distribution. Fabric is used to deploy projects. - JavaScript: ... moreknockout forms manipulation in django projects, a few chart libs, intensive work with the "smartadmin" template pack, html5 forms, canvas image manipulations, a lot of jquery and other libs, etc.. - Git: all projects are hosted on the bitbucket / github / gitlab, active work with branches, all deployment are processed via git repos (also hg was used, but a long time ago) - AWS: ec2, s3, cloudfront, rds, elb, sqs, opsworks. The custom cookbook was wrote for OpsWorks, a few layers, load-based instances + autoscale instances (sqs length meters) all was tested in a Vagrant box. - Google Analytics: a complex data processing (ETL/DW) from the large site (also a lot of sources are used there: emails, APIs, ftp files with different types, databases) - Parsing: lxml / leaf libs is used for data parsing in a conjuction with scrapy - Celery: is used for task planning and Scrapy spiders in a few projects with local RabbitMQ server and AWS SQS. - Flask: have a bit experience with Flask / SQLAlchemy / Jinja2 - permissions system like django, but with per-object permissions. - Bootstrap: as the "smartadmin" part, documents flow projects initial designs, admin interfaces. My usual development environment: - Laptop with a Debian (jessie currently) - PyCharm - a lot of terminals, "screen" to servers if needed - chrome / iceweasel (firefox) - skype / hangouts / gmail / google docs A few links to the well-known resources with my participate: http://bugs.python.org/issue20277 https://github.com/yourlabs/django-autocomplete-light/issues/189 http://stackoverflow.com/questions/21260987/add-a-dynamic-form-to-a-django-formset-using-javascript-in-a-right-way/21260988 less

Andrey M.
Drop Here

Andrey M.

$25.00 /hr

Python / JavaScript developer

Krasnoyarsk, Russia

Overview

Greetings! Hope to work with you if want to implement an interesting idea and want to use good technologies (full-time and long-term work is highly preffered). Here is the list of my previous experience with technologies (If you'll be tired to read the all list, you also may want to check information in the bottom): - Django: about 12 different projects in the 4 different companies, some of these are done from scratch, some are been: fixed, added functionality, etc. - Python services: a ... morelot usage of: virtualenv, supervisor, gunicorn+nginx as a base for a web distribution. Fabric is used to deploy projects. - JavaScript: knockout forms manipulation in django projects, a few chart libs, intensive work with the "smartadmin" template pack, html5 forms, canvas image manipulations, a lot of jquery and other libs, etc.. - Git: all projects are hosted on the bitbucket / github / gitlab, active work with branches, all deployment are processed via git repos (also hg was used, but a long time ago) - AWS: ec2, s3, cloudfront, rds, elb, sqs, opsworks. The custom cookbook was wrote for OpsWorks, a few layers, load-based instances + autoscale instances (sqs length meters) all was tested in a Vagrant box. - Google Analytics: a complex data processing (ETL/DW) from the large site (also a lot of sources are used there: emails, APIs, ftp files with different types, databases) - Parsing: lxml / leaf libs is used for data parsing in a conjuction with scrapy - Celery: is used for task planning and Scrapy spiders in a few projects with local RabbitMQ server and AWS SQS. - Flask: have a bit experience with Flask / SQLAlchemy / Jinja2 - permissions system like django, but with per-object permissions. - Bootstrap: as the "smartadmin" part, documents flow projects initial designs, admin interfaces. My usual development environment: - Laptop with a Debian (jessie currently) - PyCharm - a lot of terminals, "screen" to servers if needed - chrome / iceweasel (firefox) - skype / hangouts / gmail / google docs A few links to the well-known resources with my participate: http://bugs.python.org/issue20277 https://github.com/yourlabs/django-autocomplete-light/issues/189 http://stackoverflow.com/questions/21260987/add-a-dynamic-form-to-a-django-formset-using-javascript-in-a-right-way/21260988 less

Work History and Feedback

  • Django

    Jun 2015 - Apr 2016
    5.00
    Andrey gave an outstanding input to our project. He is always available, his communication skills are great and, above all, his python skills are surely a step above most developers I have worked with. I've lost count on how many times he saved the day. I'm very much looking forward to working with him again.

    280 hours

    $23.33 / hr
    $6,536.33 earned

  • Add user-friendly customer registration/login to Django app

    Jun 2015 - Oct 2015
    5.00

    2 hours

    $23.33 / hr
    $38.88 earned

  • Django Developer

    Jun 2013 - Aug 2013
    5.00
    Great results with pretty tough deadlines

    39 hours

    $20.00 / hr
    $773.34 earned

  • Scrapper builder

    Apr 2013
    5.00

    10 hours

    $20.00 / hr
    $200.00 earned

  • Web Scraper Developer

    Feb 2013 - Mar 2013
    No feedback given

    51 hours

    $20.00 / hr
    $1,020.00 earned

Andrey M. has more jobs to show. Create an account to review them.

Tests

NameScore (out of 5)Time to Complete
Python Test (Old)4.50Top 20%36 mins
Django Test3.95Top 30%20 mins
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