Senior Cloud Data & Analytics Architect
• Designed cloud-based data and analytics solutions for the clinical trial industry, addressing data compliance (e.g., HIPAA), structured/unstructured data, and specific research needs.• Led a team of Data Engineers to refactor application architecture and implement scalable cloud solutions.• Developed and managed robust ETL pipelines using Azure Data Factory (ADF) and SSIS for integrating and processing data from EHR, patient records, and lab results.• Built scalable data pipelines using Azure Databricks for advanced data processing, transformation, and analytics.• Deployed Azure services, including Azure API for FHIR, Azure Data Lake Storage Gen2 (DLS Gen2), and configured Role-Based Access Control (RBAC) assignments to ensure secure and compliant data access.• Created and optimized cloud-based data architectures for storage, processing, and analysis of clinical trial data using Azure technologies, ensuring security and privacy.• Developed interactive Power BI dashboards and customized visualizations: Delivered actionable insights and designed KPIs to monitor recruitment, enrollment, and operational performance effectively.• Collaborated with stakeholders to align analytics solutions with business goals and performed exploratory analysis for meaningful insights.• Optimized performance of data pipelines and analytics processes, ensuring efficient resource utilization in cloud environments.• Mentored junior team members on best practices, industry standards, and technical expertise in data architecture.• Proficient in developing SSIS packages, stored procedures, and strategies for high-performance data integration and management.• Stayed abreast of advancements in cloud, analytics, and machine learning technologies to enhance clinical trial data solutions.