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