Position: Tech Lead
Category: Data Engineer
English level: upper
Years of experience: 8

Machine Learning by Stanford University on Coursera
Deep Learning Specialization by DeepLearning.ai on Coursera
Machine Learning: Deep Learning, Computer Vision, PyTorch, Keras, TensorFlow, CNN, CUDA, TensorRT.
Python: FastAPI, Flask, SQLAlchemy, Alembic, NumPy, pandas, Scikit-Learn, Mathplotlib, seaborn, requests, Scrapy, BeautifulSoup.
Data Engineering: PostgreSQL, Redis, AWS Athena, AWS Aurora, AWS Redshift, AWS Kinesis, Apache Superset, Airflow, Kafka, BigQuery
DevOps: IaC, Terraform, Apex, Docker, docker-compose, CI/CD.
AWS: SQS, SNS, EKS, ECS, ESS, Lambda, EC2, VPC, IAM, S3.
SCM/Tools: Git, Jupyter, Postman, JMeter, Jenkins.
OS: Linux.
Software development: Agile, Scrum, Kanban, SDLC.
Professional growth
Challenging tasks
Awesome team