At Orange Business Services, I design and deliver batch, streaming, and API data pipelines with Spark, Kafka, NiFi, and Airflow. I also develop Databricks notebooks and jobs and built a predictive-maintenance IoT POC using Azure Databricks, Azure Digital Twins, GCP Dataflow, and Node-RED.
I’ve developed production data platforms across cloud and on-premises environments, including lakehouse components with Apache Iceberg and Hive Metastore. I translate requirements into data models, contracts, quality controls, and production-ready workflows.
Previously, as a Big Data Engineer at Orange Business Services, I operated Kafka clusters and built production NiFi flows and Airflow DAGs. I authored Terraform configurations and reusable modules integrated with Git-based CI/CD, contributing to a measured 70% reduction in deployment time.
At Fingerprint Consultancy, I personally delivered 40+ data-engineering and data-platform projects across EMEA. My M.Sc. research at University of Tartu focused on a distributed pipeline for privacy-preserving explanations using federated learning and explainability workflows.
