I’m Kalpesh Patil, a Data Engineer with over 4 years of hands-on experience designing and implementing end-to-end data solutions on Azure, Databricks, and PySpark. My expertise lies in building scalable ETL pipelines, implementing Medallion Architecture (Bronze–Silver–Gold layers), and integrating modern data lakehouse and warehouse platforms like Snowflake and Synapse. I’ve worked extensively across the Azure Data Engineering ecosystem — including Azure Data Factory (ADF), Synapse Analytics, Delta Lake, and Databricks SQL — to deliver optimized, production-ready data pipelines that enable analytics and AI use cases. As a mentor, I focus on helping professionals and students: Learn real-world Azure Data Engineering through project-based examples Master PySpark transformations, performance tuning, and best practices Understand end-to-end data flow design from ingestion to consumption Prepare effectively for Data Engineering interviews with scenario-based Q&A Build resumes and portfolios aligned to cloud data engineering roles With certifications including Microsoft Azure Data Engineer (DP-203) and Databricks Certified Data Engineer Associate, I bring both practical and certified expertise to guide you step-by-step in your data journey. Whether you’re transitioning into data engineering, preparing for cloud interviews, or looking to design enterprise-scale pipelines, I can help you build a strong foundation with clarity and confidence.