Leads hands-on data integration and engineering initiatives using Azure Databricks, Azure Data Factory, PySpark, Python, and SQL. Modernizes legacy on-premises systems into cloud-native architectures, implements Medallion Architecture and data warehousing, improves pipeline reliability and compute efficiency, develops CI/CD workflows, and mentors engineering teams delivering secure, actionable analytics for banking environments.
Hands-on experience with Azure Databricks for data processing, data engineering, or analytics workflows. o Experience in pyspark, ADF, o Python experience o Hands-on experience with SQL, Specialized in modernizing legacy on-premise systems into cloud-native architectures using Azure Data Factory, Databricks and PySpark, resulting in significant gains in pipeline reliability and compute cost-efficiency. A people-focused leader recognized for implementing Medallion Architecture, robust Data Warehousing and CI/CD workflows while mentoring engineering teams to deliver actionable analytics and banking-grade security solution.
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