Data Architecture
Lakehouse & Lake design, medallion (Bronze/Silver/Gold), data modeling, governance & cost-optimized cloud blueprints.
Data Architect & Engineer turning raw, messy data into governed Lakehouse platforms on Azure & Databricks — and shipping the full-stack web apps, dashboards and AI products that run on them.
I sit where data engineering, architecture and software meet — so a recruiter gets one person who can design the platform and build what runs on it.
Lakehouse & Lake design, medallion (Bronze/Silver/Gold), data modeling, governance & cost-optimized cloud blueprints.
Batch & streaming pipelines, ELT/ETL, Spark & PySpark at scale, orchestration, CDC and rock-solid data quality.
Databricks Lakehouse, Unity Catalog, Data Factory, Synapse, Event Hubs — built as IaC with Terraform & CI/CD.
Feature pipelines, model training & serving, forecasting, MLflow tracking and analytics that actually drive decisions.
Full-stack products with Next.js & Django — auth, payments, realtime, dashboards — fast, accessible and beautiful.
From audit to delivery: I scope, architect and ship — communicating clearly with stakeholders the whole way.
A live medallion architecture: raw sources land in Bronze, get cleaned into Silver, curated into Gold, and served to BI, ML & products.
Designed a multi-zone Databricks Lakehouse with Unity Catalog governance, cutting reporting latency from hours to minutes.
Sub-second ingestion of clickstream events via Event Hubs → Spark Structured Streaming → Delta, powering live dashboards.
A fair tradesperson marketplace: Django REST + Next.js, auth, payments and search — designed, built and deployed end-to-end.
Self-learning forecasting service with online training, MLflow tracking and a live decision dashboard.
Network-knowledge platform with chat, 3D graph, mindmaps and AI search — Django, Channels & vector search.
A self-hosted n8n-style DAG engine: visual node editor, 28 nodes, webhook & cron triggers — stdlib-only Python.
Designing Lakehouse platforms on Azure & Databricks and building the full-stack products on top for clients across the EU.
Owned batch & streaming pipelines at scale, introduced the medallion model and cut compute cost with smart partitioning.
Built ELT pipelines and the web apps & dashboards that consumed them — learning to own the whole stack.
Fell in love with turning chaos into clean, queryable data — and never stopped shipping.
Tell me about your platform, pipeline or app. I reply within a day — and I love a good architecture problem.