Design and implement scalable cloud-based data architectures for large enterprises, ensuring security, compliance, and performance.
Develop and oversee data governance, data integration, and analytics frameworks to enable enterprise-wide insights.
Architect cloud solutions on Azure, leveraging ADF, Data Lake, Snowflake and Databricks for data engineering and analytics.
On-Prem to Cloud Migration:
Lead large-scale ETL and data migrations from legacy on-prem systems (Teradata, Oracle, etc.) to modern cloud-based data platforms like Snowflake and Databricks.
Optimize migration workflows using Azure Data Factory (ADF), Databricks, and orchestration tools.
Ensure scalability, reliability, and performance optimization in the cloud.
Data Engineering & Integration:
Oversee the ETL/ELT migration strategy, ensuring seamless data movement and transformation.
Leverage AI/ML capabilities for conversion and migration
Implement best practices in data pipeline design, orchestration, and monitoring.
Drive real-time and batch data processing architectures for enterprise analytics.
Cloud Platform Design & Orchestration:
Design cloud-native data platforms integrating structured and unstructured data from multiple sources.
Leverage AI/ML capabilities for predictive analytics and business intelligence solutions.
Define and enforce data security, access control, and compliance with HIPAA and other healthcare regulations.
Leadership & Collaboration:
Partner with CIOs, CTOs, and Data Officers to align data strategy with business objectives.
Lead cross-functional teams of data engineers, solution architects, and DevOps teams to deliver scalable solutions.
Establish data governance policies, metadata management, and data quality frameworks.