- Developed and deployed ETL pipelines on AWS to handle and transform 500 GB of pharmaceutical data, integrating seamlessly with SAP HANA for analysis.- Enhanced SQL query performance by 40% on SAP HANA databases, improving data retrieval efficiency and reducing latency in pharmaceutical data analysis.- Applied machine learning models on AWS SageMaker to analyze pharmaceutical data, achieving a 75% accuracy rate in predicting drug efficacy outcomes.- Leveraged Apache Spark on AWS EMR to cut data processing times by 50% for large pharmaceutical datasets, integrating with SAP HANA for optimized analytics and reporting.- Managed additional application server installations and executed kernel and patch upgrades.

- Developed a secure website application using Java, SQL, HTML, CSS, and Angular that effectively enhanced data privacy measures; reduced potential breaches by 25% and improved overall user experience.- Implemented and rigorously tested robust security measures to protect user information, ensuring GDPR compliance and reducing the risk of data breaches, while enhancing the application’s overall robustness and reliability.