Position: Cloud Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 7


Consulting in Microsoft’s projects. Design and implement ETL solutions between multiple datasets, on-premises servers and Azure Synapse using technologies such as Azure Synapse Studio, Azure Data Factory, Azure Data Lake Storage, Self-Hosted IR. Designing CD / CI mechanisms in operation on Azure DevOps and Git. Migration of all sized (1M – 1B rows) Oracle DBMS tables to Azure Synapse using SSMS, Python and Parquet files. Recreation of Oracle views with complex logic by converting Oracle SQL dialect/CTE/built-in functions to T-SQL. Recreation of Oracle ETL tool (Oracle Data Integrator) packages, mappings, procedures in Azure Synapse. Integration of several data sources such as Vertica, Salesforce, Oracle OBI, Oracle PMDB, SFTP Server, On-premises SQL Server Migration SSAS to Azure Analysis Services. Repointing data source from Oracle to Azure synapse. Design LogicApp workflows for processing AAS models. Modification of existing Databricks notebooks using PySpark. Writing CSV files from AWS S3 to Snowflake using delta lake architecture. 

Certifications: 
Microsoft Certified Azure Data Engineer Associate
Microsoft Certified Professional
98-364: Microsoft Database Fundamentals
70-761: Querying Data with Transact-SQL
DP -900: Azure Data Fundamentals
DP - 203: Azure  Data Engineering
Senior Azure Data Engineer