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

Sped up Spark (AWS EMR) data pipelines by 30-70% with code optimization. 
Built dozens of integrations with different data platforms (APIs, databases, SFTP, S3), both for data ingestion and upload.
Designed and implemented data processing applications from scratch.
5 years of experience in building and maintaining ETL pipelines (partly freelance).
Advanced skills in Python, SQL, PySpark.
Extensive experience in debugging and performance profiling.
Result-oriented, attentive to details, good team player.

Stack:
Python, Airflow, PySpark, Flask, Superset
SQL (PostgreSQL, MySQL), Redis
AWS (EMR, Lambda, S3, CloudFormation, DynamoDB)
Linux, bash, Docker, git
Scrum, Jira, TDD