Position: Data engineer & database developer
Category: SQL
English level: intermediate
Years of experience: 10

•	 Created ETL processes (extraction, validation, transformation)
•	 Developed database object: stored procedures, UDF, calculation views, complicated queries.
•	 Developed Data Bricks notebooks and workflows 
•	 Implemented and supported Spark structured streaming process (Event Hub & Data Bricks) 
•	 Designed and implemented custom log structure (Dynatrace & Azure Log Analytics) 
•	 Deployed and maintained snapshots in Snowflake
•	 Designed and implemented of ADF pipelines 
•	 Designed Azure Data Lake structure
•	 Performance tuning
•	 Troubleshooting
7+ years’ experience Data Engineering
•  Building Data Lake House;
•  Building Data Warehouse;
•  Implementation of data quality process;
•  Creating ETL processes from different sources;.
•  Implementation  BI solutions 
•  Migration data to cloud
Building from scratch Data Lake/ Data warehouse.
Data migration, validation, modeling, transformation.
Work with streaming data.