Position: Senior Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 5

- Rated TOP 20% in McKinsey x Tinkoff and TOP 35% in McKinsey x Alibaba hackathons. 
- Certified Alteryx designer.
Self-directed and driven Data Engineer with a background in Data Science, having good problem-solving skills.

- Years of experience: 5
- Domain: banking, fintech, healthcare.

- Technologies stack: Python (Spark, Trino, SQLalchemy, Airflow, FastAPI, MinIO, Boto3), Postgres, Kubernetes, Docker, AWS (S3, Athena, Lambda, Glue, QuickSight, LakeFormation), Dask.
- BI Tools: SAP, Alteryx, PowerBI, Tableau
- Version control: Git, BitBucket
- Documentation: GitLab, Confluence
- Pipeline: ArgoCD
- Monitoring: Grafana/Loki

- Education: Carnegie Mellon University (2019)
- Major: Data Analytics/Data Science