Duhamel Tsopgni

Data Engineer - Data Scientist - Ml Engineer @Yas Madagascar

Antananarivo, MG

Built a standardized ML pipeline using Docker, MLflow, MinIO, PowerBI, and PySpark to streamline deployment and scale ML use cases—achieving 4x faster model delivery.• Migrated SSIS jobs to Python, improving code readability and cutting execution time by nearly 50%, enhancing maintainability and overall pipeline performance.• Optimized data pipeline reliability and efficiency by improving DBT job performance by 93.75% through PostgreSQL indexing (from 4 hours to 15 minutes) and implementing an Airflow-based alert system integrated with Microsoft Teams to notify on DAG failures—enabling rapid issue resolution before impacting business operations.• Designed centralized datamarts to support future analytics and ML use cases. Built Power BI dashboards to help business teams understand customer behavior through segmented KPIs (e.g, by region, age group, device type), enabling data-driven decision-making.• Documented data models, pipelines, and dashboard logic for maintainability. Conducted peer code reviews to ensure quality, consistency, and performance, fostering a collaborative and efficient development environment.• Led technical knowledge-sharing sessions to present educational content, fostering collaboration, continuous learning, and promoting best practices in data engineering and analytics.

Ecole Nationale Supérieure Polytechnique de Yaoundé

Master's degree, Computer Engineering

Ecole Nationale Supérieure Polytechnique de Yaoundé

Mathematics and Computer Science