Technical Blog
Practical articles for engineers working with Microsoft Fabric, Azure, Spark, data platforms, and delivery workflows.
I am Pavan Bangad. I write for engineers and architects who want practical, implementation-focused guidance across modern data and cloud platforms.
Data engineers, Fabric practitioners, Azure teams, Spark users, and DevOps-minded builders looking for clear technical explanations.
Most lakehouse pipelines are still doing one expensive thing repeatedly: reprocessing entire tables, even when only a tiny fraction of rows has changed. This post explains the CDF-driven load pattern, why it works, where it can hurt, and how to implement it safely in Microsoft Fabric.
/implementing-change-data-feed-for-incremental-processing-in-microsoft-fabric-lak
Read articleIntroduction When building a modern lakehouse on Microsoft Fabric, one of the most powerful — and often underexplored — features is Mirrored Databases. Instead of...
/how-microsoft-fabric-mirroring-works-for-azure-sql-database-a-technical-deep-div
Read articleA practical checklist for designing APIs that are easy to use and evolve safely.
/build-better-apis
Read articleReach out if you want to discuss data engineering, Fabric, Azure, Spark, or DevOps-related work.
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