Position: BI Developer and Data engineer
Category: SQL
English level: intermediate
Years of experience: 5

Current project after the implementation of the BI solution, the quality date allowed engineers to reduce the analysis time of their application from one day to 2 hours.

Past project with GCP I have been developing ETL using python library – Airflow and Google Cloud Services, I got from BA SQL scripts or looked business logic in tableau and rewrite these logics to Airflow and BigQuery. That helped company save cost in GCP and facilitated data transformations for reports.

Past project with AWS I have been developing ETL using Lambda Function (Python libraries), Step Function as orchestration, Aurora DB as DWH and S3 for storing configuration files.
More than 5 years of experience development Bisiness Intelligence with skills data solutions.
Strong problem solving skills and knowledge in:
- Google Cloud Platform stack technologies including BigQuery and cloud storage;
- Microsoft stack technologies including Microsoft Azure, MS SQL Server and Power BI.
- AWS stack technologies including Lambda Function, MySQL, Secret Manager, S3 Bucket, SSN, Layers, Step Function and Cloud Formation.
Has experience with Oracle SQL Developer, Apache Airflow, Python.
Full application life cycle experience: writing storeg procedure and jobs, development of ETL packages, development optimal datasets  (sharding, partitioning, clustering), reports modeling and development using Power BI, SAP BO and Microstrategy.
Communication, responsible, determined, good at problem solving, well organized and building client relations.