Building modern data & AI platforms on Azure.
KLOUD17 is a technology consultancy and personal brand focused on Azure data engineering, AI, and cloud architecture. The work spans greenfield platform design, migrations from legacy stacks, production AI implementations, and the unglamorous engineering disciplines — governance, observability, CI/CD — that decide whether those platforms last.
Mission
To help organizations unlock the power of data, AI, and cloud technologies through scalable, secure, and modern engineering solutions.
Approach
Practical implementation over slide decks. Architecture decisions are explained, trade-offs documented, and code lives in your repos — not mine.
Focus
SMEs, startups, and enterprises modernizing onto Azure or adding production AI capabilities. Engagements range from architecture reviews to full platform builds.
What I work on
- Azure Data Factory & Synapse Analytics
- Microsoft Fabric & OneLake
- Databricks & Delta Lake
- Azure OpenAI & Retrieval-Augmented Generation
- Power BI semantic modeling & governance
- Lakehouse architecture & medallion design
- DataOps, CI/CD, and infrastructure-as-code
- Data governance with Microsoft Purview
Microsoft & Databricks
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure AI Engineer Associate
- Databricks Certified Data Engineer
Certifications shown reflect typical KLOUD17 engagement profile; update with your own credentials.