As a seasoned AI and Data Engineering leader with over two decades of experience, I specialize in delivering complex AI, Big Data, and Cloud solutions.Currently, as a Partner-Data Engineering at Tiger Analytics, I lead the Azure Big Data Engineering Practice, where my responsibilities include:* Building and leading high-performing data engineering teams.* Developing innovative solutions and accelerators for clients.* Delivering data engineering solutions on Microsoft Azure and Databricks to help clients unlock the full potential of their data and achieve significant business outcomes.Areas of expertise:* Data Lake, Lakehouse, Data Fabric, and Data Mesh architectures.* Data Engineering, including Big Data and Data Warehouse modernization on Cloud platforms.* Generative AI, covering Prompt Engineering, Vector and Graph Databases, Retrieval-Augmented Generation (RAG) frameworks, and Smart API gateways.* Advance Analytics and Business Intelligence Solutions* IoT and Streaming Analytics.* Unstructured Data Management.* AI Platforms (involving NLP, Computer Vision, Speech Analytics, and AutoML).* Data Discovery and Data Marketplace Platforms.* Intelligent Search and Graph Analytics.* Data and Platform Observability.* Data Quality and Master Data Management (MDM).