Alex Oreshkevich

- Data modeling techniques and data normalization principles to optimize database performance - Migration of existing ETL processes and the creation of new ones - Work with Airflow, Amazon S3, Snowflake - Data integration data sources and the data mart, ensuring data consistency and accuracy - Develop data architecture - Interact with the international team for daily stand-ups (UK, Spain) - Ensure Data Quality by testing and validating data integrity

- Built ETL processes using Python and SQL to support internal customer projects - Analyzed data using Python (numpy, pandas, matplotlib) - Migrated existing ETL processes from Dataiku using Talend - Designed and implemented a data warehouse using the Kimball methodology - Ensured Data Quality by testing and validating data integrity

- Built ETL processes using SQL and Python (AWS Glue, Amazon S3) - Developed and maintained data pipelines for data processing and analysis - Collaborated with cross-functional teams to identify and resolve data-related issues (AWS CloudTrail, AWS CloudWatch) - Ensured Data Quality by testing and validating data integrity - Worked with data tools like Amazon Redshift and Amazon QuickSight

- Analyzed data and generated insights for business decision-making - Built and maintained data pipelines using SQL and Python - Created and delivered data visualizations and reports to stakeholders (Google Data Studio) - Ensured Data Quality by testing and validating data integrity (missing, duplicate data, data type consistency)