IULIIA PTUKHINA

Led the migration of existing ETL processes from Teradata to Databricks, ensuring seamless data transition and system compatibility.

Developed and optimized complex ETL processes, significantly enhancing data flow efficiency and reliability.

Achieved substantial reductions in query numbers and data waiting times, resulting in decreased data handling costs and reduced operational complexity.

Conducted qualitative optimization of data content, minimizing errors and anomalies to improve data accuracy and integrity.

Implemented efficient data processing methods, including filtering, formatting, and delivery, to significantly enhance data accessibility and utilization for stakeholders.

Utilized Python and Apache Airflow as a data orchestrator, and Microsoft SQL as the primary database, for complex data projects.

Implemented a comprehensive data schema covering all stages of data acquisition, extraction, cleansing, transformation, integration, loading, and replication, enabling a client's store network to optimize goods arrangement.

Developed efficient data refinement and delivery processes, significantly improving client access to sales statistics and enhancing usability for faster insights.

Engineered robust SQL code, stored procedures, and triggers that substantially contributed to the high performance and data integrity of the project.

Designed and implemented PL/SQL procedures and functions to manage database operations and data flow.

Developed and maintained ETL processes to extract, transform, and load critical financial data.

Contributed to the development and optimization of PL/SQL solutions for diverse client requirements.