Three production platforms and three open-source builds. Every screenshot in the case studies below was captured from the project actually running — nothing mocked.
Production-grade pipelines processing millions of daily banking transactions with real-time streaming and automated quality frameworks.
Unified cloud data platforms for Fortune 500 clients using Azure Databricks, Snowflake and Microsoft Fabric with data mesh architecture.
Automated BI for manufacturing and logistics — 30+ manual reporting processes replaced with SSIS, Power BI and Azure Data Factory.
ML-powered anomaly detection on streaming data: Isolation Forest over Kafka + Spark Streaming, quality metrics in PostgreSQL.
A fully open-source data platform — Airflow, Kafka, dbt, Spark, Docker — built as a £100K/year alternative to commercial ETL tooling.
An end-to-end reference pipeline — ingestion, transformation, testing, monitoring — documented as a blueprint for modern data engineering.