Position: Data Engineer, Lead, Architect
Category: Data Engineer
English level: upper
Years of experience: 11

- Implemented and partially designed a few complex long-term big data projects from zero to release (i.e., lambda architecture in AWS for near real-time brokers market analytics, and modern Lakehouse/Warehouse for telecom ML/BI in Azure)

- Did architecture discovery, assessment, MVP in role of Big Data Architect / Consultant. As part of this did significant impact on projects architecture and success.

- Tried myself through all end-2-end project lyfecycle: presales, discovery/assessment, team & processes setup, implementation, ongoing support & tunning. Achieved some kind of balance in technologies & approaches between depth (long-term projects) and width (short term projects).
Many Big Data projects, in engineering and architecture roles, everything in CV. 

Among them complex big data projects (lakes, dwh, batch, streaming, migration) from ground up, requirements collection, design, architecture discovery/assessment, implementation, team leadership, etc.
- Legacy systems where all decisions made before me
- Purely managerial roles, where despite Lead/Architect title 80%+ of time is spent on managing others and their expectations