Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2

Built data processing pipeline for mobile app analytics "from scratch".
Self-driven Data Engineer qualified in building end-to-end data processing pipelines. Proficient with  "from scratch" implementation of small and medium-scale managed workflows and actively contributed to developing large-scale systems with multiple automated and manual input sources. Experienced in the optimisation of data processing & data warehousing techniques. 

My background include 2+ years on healthcare industry project. 
Main expertise:
- Build end-to-end managed workflows with Airflow;
- Create and maintain different scale pipelines for data processing on Python and Scala;
- Implement cloud-based solutions for automation of data collection and warehousing using AWS Lambda, AWS S3 and AWS Redshift;
- Adjust ETL & ELT processes according to the needs of analysts;
- Create and optimise Spark jobs for processing large amounts of data using AWS EMR;
- Collect and shape structured data with PostgreSQL and Alembic according to business needs.
Looking for a project to utilize my knowledge and desire to build and make things data-driven. 
Nice to have: possibility to work with ML.