Senior Data Engineer · Denmark
Building reliable, scalable data systems at the intersection of payments, fashion, and AI.
- 🏢 Currently at BESTSELLER — AI Fashion Solutions team, building cloud-native data pipelines on Azure + Databricks
- 🏦 Previously at NETS (via TCS) — large-scale financial & payments data processing in Denmark
- 🎓 B.Tech in Computer Science · VIT Vellore · 2019
- 📍 Based in Aarhus, Denmark
- 🧠 I think in systems — architecture, trade-offs, reliability, cost — not just code
- 🚀 Working toward cloud architect-level roles
Bronze → Silver → Gold Medallion lakehouse architecture
Autoloader + DLT Streaming & declarative pipelines
CI/CD via DABs Databricks Asset Bundles for deployment
Reconciliation & Alerts Data quality & observability layers
Large-scale ETL Payments & financial data at scale
- Deepening Azure + Databricks expertise (Delta Live Tables, Unity Catalog)
- Architecting production-grade lakehouse systems
- Exploring AI-powered personal tools with Claude API, Whisper & ElevenLabs
- Preparing for cloud architect-level roles


