Building enterprise-scale data platforms that power real business decisions.
- 🔭 Data Engineer based in the UK
- 🏗️ Architecting modern cloud-native data platforms (AWS + Azure + Databricks)
- ⚡ 6+ years across Data Engineering, BI & Machine Learning
- 🛡️ Strong focus on governance, security, and production reliability
- 🤖 Transitioning toward LLM Engineering & Financial AI Systems
- 🏢 Founder – Sutrion (AI & Data Systems Venture – In Progress)
- 🚀 Designed and delivered enterprise-scale data platform on Databricks + AWS
- 👥 Enabled 2,000+ daily users via 10 domain & 4 cross-domain data products
- 🏛️ Implemented Medallion (Bronze–Silver–Gold–Platinum) architecture
- 🔐 Designed ABAC, RBAC & Row-Level Security frameworks
- 🛡️ Implemented governance using Unity Catalog & Microsoft Purview
- 🔄 Owned CI/CD pipelines across DEV, QA & PROD using Azure DevOps
- 📊 Delivered analytics-ready datasets optimised for Power BI & Tableau
- 🧪 Built automated monitoring, validation & data quality frameworks
- Kimball (Star / Snowflake)
- Data Vault 2.0
- Domain-Driven Design
- Metadata-Driven ETL Frameworks
- 🔹 Large-Scale Spark Join Optimisation (1B+ records, skew handling, broadcast tuning)
- 🔹 Enterprise Medallion Lakehouse Architecture (Bronze → Platinum)
- 🔹 Metadata-Driven ETL Framework
- 🔹 CI/CD for Databricks using Asset Bundles
- 🔹 End-to-End ML Deployment on AWS
- 🔹 Financial Forecasting & Time-Series Models
- 🔥 Advanced Spark Performance Engineering
- 🤖 LLM Engineering & Retrieval-Augmented Generation (RAG)
- 🧠 Vector Databases & Semantic Search
- 🏛️ Data Mesh Architecture & Platform Thinking
LinkedIn
GitHub
📩 ibhevendra@gmail.com
⭐ I build scalable data systems that are secure, governed, and production-ready.