🌟 Data Architect | Lead Developer | ML Ops Specialist | Databricks Expert 🌟 With over a decade of experience in data architecture, ETL development, and cloud migration, I specialize in building scalable data solutions that drive insights and business outcomes. My journey spans leading roles at UBS, Bank of America, and IBM, where I’ve developed expertise in creating robust data integration frameworks and pioneering cloud data transformations using technologies like Azure Databricks, Power BI, dbt, and Snowflake. Key Accomplishments: Designed high-performance data migration and analytics systems using Azure and Databricks, enhancing data processing efficiency by 10x for market risk and regulatory reporting. Led end-to-end data architecture projects, including on-premise to cloud migrations and implementation of Delta Live Tables, Unity Catalog, and advanced data models for real-time insights. Skilled in building automated ETL pipelines on Hadoop, AWS, and Azure for critical financial data, ensuring seamless transitions and high data quality. Certifications include Databricks Data Engineer, Microsoft Azure Fundamentals, and SnowPro Core, which underline my commitment to continuous learning and my hands-on skills in cloud-native data architecture. I am also a dedicated contributor to the data engineering community, sharing insights through articles on data mesh, scalable systems, and more, as well as administering a PySpark Developers community of 5,000+ members. Let’s connect if you’re passionate about data-driven transformation or seeking insights into cloud migration, data architecture, or analytics frameworks!