A Microsoft Fabric case study in watermark-based incremental ingestion, Delta Lake ACID writes, and the operational discipline of letting the pipeline remember what the analyst no longer needs to.
Logistics Data Modernization
02
Microsoft Fabric Project
The Global Listing Intelligence Initiative.
01
Designed and implemented an end-to-end data engineering solution in Microsoft Fabric to automate property data ingestion from multiple regional offices. The solution replaced manual CSV consolidation with an automated, scalable pipeline that ensured reliable, governed, and timely data delivery for business reporting.
Workforce Intelligence.
From Azure SQL to Lakehouse.
04
An end-to-end Microsoft Fabric pipeline that automates workforce data processing using a Bronze-to-Silver Lakehouse architecture. Replacing manual SQL exports, this scalable PySpark solution handles data validation, deduplication, enrichment, metadata generation, and HR analytics.
Financial Data
Transformation
05
Design a high-performance, reliable, and recoverable data pipeline by optimizing PySpark joins, enforcing data quality with Delta Lake, and using Time Travel for data recovery. It also emphasizes making engineering decisions based on execution-plan evidence, scalability, and governance