My Data Engineering Projects
A collection of my most impactful data engineering projects, showcasing technical solutions that drive business value and enable data-driven decision making.
Monthly Water Meter Closing System
An enterprise-scale data processing architecture handling 15M+ monthly meter readings with Delta Lake and Databricks Runtime 10.4, reducing processing latency from 168 hours to 2 hours while implementing Zero-ETL patterns that eliminated data inconsistencies and generated €13M in annual operational savings.
Azure Databricks
PySpark
SQL
+2
Recommendation System for Meter Replacement
ML-driven analytics system using Azure Databricks and PySpark to prioritize water meter replacements across a 10M+ device network. The solution achieved 92% prediction accuracy and generated €8.7M in annual incremental billing.
Azure Databricks
PySpark
SQL
+2