Data Engineering
Practical notes from building reliable pipelines, data models, lakehouse platforms, and analytics systems in production.
Architecturedbt Medallion ArchitectureBuilding scalable, maintainable data warehouses with Bronze, Silver, and Gold layers.
QualityData Quality Monitoring at ScaleA practical approach for catching data issues before they reach users.
PerformanceSpark Job Performance TuningHow to diagnose slow Spark jobs and fix the usual production bottlenecks.
ArchitectureLakehouse Wars: Azure Fabric vs DatabricksA practical comparison for teams choosing a modern data platform.
ETL/ELTADF Incremental Load PatternProduction-grade incremental loading with a watermark strategy.