Pradeep Ganesamoorthy

As a Data Engineer in the PayPal migration project, I lead initiatives to migrate large-scale datasets from Teradata to Google BigQuery, ensuring accuracy, consistency, and performance optimization across platforms. I design and automate ETL workflows using Python and shell scripting, reducing manual effort and improving operational efficiency. I’ve implemented AES-based data encryption and decryption (AEAD_AES_GCM_256) to secure sensitive information, resulting in a 25% improvement in system resilience and compliance with data protection standards.

Responsible for designing, integrating, and maintaining data-driven solutions that enhanced business intelligence and process automation. Handled data extraction, transformation, and loading (ETL) across various systems, building automated data workflows, and developing custom data models and reports using Python, PostgreSQL, and APIs. Collaborated with cross-functional teams to integrate third-party data sources such as Drive Yellow and Magento.

Focused on building and customizing data-driven modules that improved reporting, analytics, and operational workflows for business clients. Responsibilities involved gathering data requirements, designing data pipelines, and implementing data integration and transformation logic within ERP systems. Worked extensively with Python and PostgreSQL to manage backend data processes.

Completed core studies in engineering, programming fundamentals, and analytical problem-solving.