ClickHouse, AirFlow, DBT, Python, SQL

- Development of 28 ingestion pipelines, 31 datasets, 22 linked services and setting triggers with Azure Data Factory. Reduce the number of errors during ingestion by up to 50% - Manage access control to DWH, control permissions and security for 127 different schemes - Setting up of ELT pipelines over 1174 tables from 73 different sources using ADF and Databricks - Created 5 Power Automate flows to notify daily and nightly loads statistics - Prepared 26 different data marts for business on Synapse Analytics to create reports and dashboards

- Updating tables, schemas in Clickhouse DBMS using transformations DAGs in Apache Airflow - Migrating ready-to-go data marts and tables across multiple servers - Building data marts, charts, widgets, dashboards and visualizing data with Apache Superset - Optimization and maintenance of intermediate queries, data marts and tables in Clickhouse DBMS

- Scientific research in the field of ”Deep Neural Network” - Medical data (X-Ray and CT images) collection, processing and analysis - Worked with deep learning models (ResNet50, VGG-16, AlexNet, Inception-V3) to detect diseases on medical data images and used Heat-Map and T-SNE visualization tools. Participant of International Conference on Electronics Computer and Computation (ICECCO 2021)

- Collected and analyzed data to evaluate marketing campaigns - Created reports and visualizations for the marketing team

- Parsing data with Python - Collet data in data base