Ghassen Bouzeyen

As part of the Data Factory, I design, develop, and industrialize high-value data solutions for business teams. I work on data integration, transformation, and optimization through efficient ETL pipelines within the Azure ecosystem, contributing to BI reporting, Data Lake migration, and internal process digitalization initiatives. • Developed and orchestrated ETL pipelines using Azure Data Factory and Databricks (PySpark, Python) • Deployments using CI/CD pipelines in Azure DevOps • Optimized performance, scalability, and FinOps costs • Collaborated with business teams to define requirements and explore data • Monitored and maintained production data pipelines with clear technical documentation Key Achievements: • Fully automated Power BI reporting → reduced update time by 80% and deleted human intervention • Successfully delivered the robust, automated data pipelines powering an internal web solution

Contributed to the monitoring and optimization of a cloud-based data platform. • Monitored a Kubernetes cluster via Prometheus and integrated metrics into PostgreSQL / InfluxDB • Processed and aggregated data using PySpark, AWS EMR • Created Grafana dashboards for performance tracking • Implemented CI/CD pipelines using GitLab and Jenkins Impact: improved cluster observability

Developed and integrated banking data flows in a regulatory compliance context. • Created Python ETL scripts to adapt interbank data flows • Integrated Oracle data and automated transformation processes • Implemented AES/RSA encryption and developed user interfaces with Kivy Impact: improved data reliability and reduced manual processing errors.