Implemented ETL pipelines using Talend and AWS Glue, achieving a remarkable 40% reduction in data processing time, thereby enhancing operational efficiency in healthcare data management.Integrated Electronic Health Record (EHR) systems with Amazon Redshift, ensuring a 99% accuracy rate in patient record migration, which improved data accessibility for clinical decision-making.Developed real-time data streaming solutions utilizing Apache Kafka, resulting in a 30% increase in patient data accessibility for healthcare providers, facilitating timely interventions.Ensured compliance with HIPAA regulations through the establishment of robust data governance frameworks, including encryption protocols and stringent access controls to protect sensitive patient information.Automated data ingestion processes from multiple healthcare APIs using Python scripts, streamlining workflows and significantly reducing manual data entry errors.Utilized Apache Airflow for orchestrating complex data workflows, enhancing the reliability of data processing tasks across various healthcare applications.Created interactive dashboards in Power BI to provide real-time insights into key healthcare metrics such as patient admissions, treatment outcomes and resource utilization, aiding strategic decision-making.Conducted performance tuning of SQL queries, optimizing reporting efficiency by 25%, which enabled faster access to critical health analytics for stakeholders.Leveraged Docker containers to standardize development environments across the data engineering team, promoting consistency and collaboration in project execution.Analyzed large datasets using Apache Spark to extract actionable insights on patient demographics and treatment outcomes, supporting evidence-based healthcare practices and policy-making.