Ozan Şen

• Engineered Python solutions spanning workflow automation, data integration, unit testing, accelerating project delivery timelines by 30% and cutting manual operational effort by 10 hours/week per client. • Led integration of data into a MySQL dwh by extracting with Python, transforming with Pandas and PySpark; monitor pipelines with Airflow and resolve schema, connection, and infrastructure issues to maintain reliable data flows with minimal downtime, reducing pipeline failures by 30%.

• Architected and deployed end-to-end data pipelines ingesting structured and semi-structured data (Oracle DB, CSV, Excel, XML, JSON, REST APIs, SFTP) into the enterprise Data Warehouse, processing 2 million records daily. • Engineered and optimized end-to-end data integration workflows - encompassing job scheduling, logging, debugging, testing, deployment, and documentation - reducing pipeline failure rate by 40%

• Led end-to-end ETL and DWH delivery for 3 clients per week - implementing data validation frameworks, query optimization, and workflow automation - powering analytics dashboards with 99.6 % data accuracy and reducing data processing time by 30%. • Built and orchestrated scalable ETL pipelines using Python (NumPy, Pandas, SQLAlchemy) and optimized SQL - delivering reliable, high-performance data flows across source systems into the DWH, supporting analytics for 12 business units.