Hope to work with you if you are going to implement an interesting idea and want to build it with high-end technologies.
Here is the list of my previous experience by technologies used:
- Django: about 12 projects in the 5 different companies, some of them are done from scratch, some are been fixed, added functionality, etc.
- Python environment: virtualenv, supervisor, gunicorn+nginx as a base for a web distribution, fabric to deploy projects.
- JavaScript: selenium with various browsers, knockout.js, vue.js, some ReactNative skills for Android, a few chart libs, a lot of jquery and other libs, etc.
- Machine learning (scikit-learn) used as a tool for building personal recommendation system for the online shop.
- Git: all projects are hosted on the bitbucket / github / gitlab, active work with branches, all deployment are processed via git repos.
- AWS: ec2, s3, cloudfront, rds, elb, sqs, opsworks. The custom cookbook was wrote for OpsWorks, a few layers, load-based instances + auto-scale 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 / beautifulsoup libs are used for data parsing in a relation with django, scrapy and tornado
- Celery: widely used across all the projects, rabbitmq/redis/aws-sqs as backends.
- Flask: have a little experience with Flask / SQL