Enterprise Data Engineering

Enterprise data architectures have evolved. I specialize in implementing Microsoft Fabric medallion architectures, building structured layers—Bronze, Silver, and Gold—that organize data from raw ingestion to highly refined business intelligence models.

Legacy ETL systems often become expensive bottlenecks. During my tenure at Aretove Technologies, I gained deep experience managing complex ETL migrations. I have successfully migrated massive workloads from legacy tools like Talend to modern cloud-native solutions like Azure Data Factory (ADF), improving performance while significantly reducing operational costs.

As AI becomes central to enterprise strategy, retrieving the right context is critical. I build Retrieval-Augmented Generation (RAG) pipelines that securely connect your proprietary enterprise data to Large Language Models. This allows you to build AI assistants that actually know your business, citing your own documents and databases.

Whether it's setting up a real-time streaming pipeline, organizing a sprawling data lake, or deploying enterprise AI tools, I focus on building resilient, scalable data infrastructure that requires minimal maintenance.