À propos de Mohamed
Ingénieur Data Senior, j’accompagne les entreprises dans la conception et l’optimisation de solutions data à forte valeur ajoutée. Avec une solide expérience sur des projets internationaux et des environnements exigeants (Clipboard Health, FX Innovation), je maîtrise l’ensemble de la chaîne data : modélisation, automatisation de pipelines (Python, Airflow, DBT, Snowflake, AWS), data warehousing, reporting avancé et gouvernance des données. Mon approche privilégie la fiabilité, la performance et l’autonomie des équipes métiers grâce à des outils modernes et des process éprouvés. J’interviens sur : création de pipelines ETL/ELT, optimisation des coûts cloud, data modeling, mise en place de reporting self-service, intégration de modèles prédictifs et accompagnement stratégique. Je vous aide à transformer vos données en leviers de décision concrets, tout en garantissant la qualité et la sécurité de vos actifs data.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Clipboard Health – RemoteSenior Data Engineer - Operationsjanvier 2024 - Aujourd'hui (2 ans et 5 mois)• Managed a full team of 4 analysts and 1 engineer, driving enhanced data visibility and comprehensive reporting across the organization.• Led and project-managed analytics initiatives for the Ops organization, enabling self-service reporting and fast turnaround reporting from analysts.• Drove optimization of our Snowflake instance, reducing compute costs and enhancing query performance.• Engineered AWS-hosted custom data pipelines, both batch and "near-realtime", (using Python, Pandas/PySpark, Airflow/EventBridge, Glue, S3, and Snowflake) to retrieve, transform, and ingest data from multiple sources — improving data visibility across the Ops org.• Led rigorous code and data quality reviews on both engineering and business fronts, ensuring 100% data accuracy and reliability.• Oversaw business reporting on team performance for leadership, providing actionable insights and coaching team members while driving high-level strategic initiatives.
- Clipboard HealthData Engineer - Engineeringaoût 2022 - janvier 2024 (1 an et 5 mois)• Developed low-code data pipelines with Airbyte for rapid data ingestion and transformation, accelerating project delivery.• Designed, created & maintained robust data models in DBT based on data tiering, ensuring reliable and continuous data model deployment - recurrently optimized model build performance to drive down deployment time and data latency• Collaborated with stakeholders to deliver tailored analytical datasets and integrate predictive models, driving actionable business insights.• Spearheaded a self-service metrics project: built a proof of concept, configured a semantic layer, defined key business metrics, and established data governance for these metrics to help stakeholders with trusted data-driven decisions.
- Clipboard HealthSupport Engineerjanvier 2022 - août 2022 (7 mois)• Established and scaled the support engineering team, defining core operational processes and broadening team responsibilities.• Streamlined debugging and incident investigation processes, boosting customer satisfaction and reducing response times in support interactions.
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Formations
- Business AdministrationFSJES Mohammedia2019Business Administration