Data Architect, Prasad Vaze and Data Engineer, Kiran Dablee will be presenting a design pattern and working demonstration of a reusable, modular and scalable data streaming framework for data movement, validation, refinement and ingestion into a Data Lake and Data Warehouse using Azure Databricks/Spark.
Presenter Bios:
Prasad Vaze is a Data Architect with many years of experience in designing and leading delivery of BI and DW solutions for Insurance, Finance, Utilities, Retail and, Automobile industries working in close collaboration with business executives. For the past 5 years he has been involved in designing the Big (Hadoop) and Fast (Streaming) data platforms on AWS and Azure leveraging microservices, DevOps, IaC, and open-source tools. He holds B.S Electrical engineering from India and MBA Finance from University of Richmond.
Kiran Dablee is a Data Engineer with years of development experience, predominantly in developing/delivering Data warehouse projects for Insurance and Finance industries. He is versatile programmer and an enthusiast of emerging tech and tools in the Big Data Space. He holds a Master's degree in Electrical and Computer Engineering from PSU.
