Senior Data Engineer specializing in cloud-native data platforms, large-scale IoT and CRM data processing, and enterprise data architecture in Azure and Databricks environments.
I build scalable ETL/ELT pipelines with Apache Spark, PySpark, Airflow, and the Databricks stack, with a strong focus on data quality, governance, reliability, and platform scalability. Currently, at Vaillant, I own enterprise-grade connected-device analytics and Salesforce data pipelines in Databricks — including end-to-end CRM ingestion solutions built from the ground up.
I work extensively with distributed data systems, governance frameworks, and EU Data Act initiatives in high-volume enterprise environments.
- databricks-tui — a terminal dashboard for Databricks (compute, jobs, pipelines, warehouses, Unity Catalog, SQL console, costs & lineage), written in Rust. Website · crates.io · Homebrew.
- Contributing to Lakeflow community connectors (Databricks Labs) — data-ingestion connectors.
Databricks · Azure · Apache Spark · PySpark · Airflow · SQL · Python · Rust · distributed systems · data governance