Position: Senior|Lead Python/DevOps/Data Engineer
Category: Python
English level: fluent
Years of experience: 11

Developed architecture and implemented social network for swiss businesses, enterprises and tenders.
Created efficiency and correctness monitoring tool for data deduplication engine. 
Extended media content delivery system and integrated it with legacy systems. 
Aided migrating two large enterprise systems to microservice architecture.
Implemented system for tracking malicious user behavior.
Implemented and maintained numerous data engineering tools.
Python: Django, Flask, FastAPI, SQLAlchemy, Celery
JavaScript: React, Vue, Backbone
DevOps: AWS, Terraform
NoSQL: Redis, Elasticsearch
SQL: PostgreSQL, MySQL
Testing: pyunit, pytest, nose
ML: SciPy, Scikit-learn, Tensorflow, PyTorch, NumPy, Pandas
Big data: Hadoop, PySpark
Applications: Apache Server, Nginx, Varnish Cache
Message brokers: Kafka, RabbitMQ
Continuous integration: Jenkins, Travis, GitlabCI
Schedulers: Airflow
Preferable backend with possibility of work with DevOps, Big Data, Python, ML, highload, data intensive applications.