Ghiles BABOU

Data engineering and observability across multiple critical domains, including billing, finance, supply chain and master data, in a large-scale enterprise environment. -Event-driven data architectures supporting business-critical workflows. -Real-time and batch pipelines for ingestion, transformation and consolidation of multi-source data. -Data enrichment and contextualization to ensure end-to-end traceability. -Monitoring and decision dashboards for incident detection, analysis and corrective actions. -Log retention and archiving policies balancing volume, performance and cost. -Production deployment and run support in close collaboration with Operations and IT teams.

-Implementation of a Kafka-based streaming data platform - Configuration of Kafka Connect (sources & sinks) for critical data synchronization. - Development of Kafka Streams topologies for real-time event processing. - Implementation of event-driven microservices for data collection, transformation and distribution.

Open Data platform design and implementation to centralize, process and publish public datasets for citizens. -ETL pipelines for data collection, ingestion and publication from heterogeneous sources. -Data normalization and structuring to ensure quality, consistency and usability; -Design and ingestion of SQL and NoSQL databases to store, structure and expose Open Data datasets. -Platform and infrastructure monitoring to ensure service stability and availability. -Technical documentation to support end users and operational teams.