ISMAIL JABRI

Bilingual Senior Data Engineer with 6+ years in cloud and lakehouse platforms. Specialized in Starburst (Trino) federated querying, data virtualization, and distributed SQL optimization with Apache Iceberg, Dataiku, PySpark, and SQL. Certified across Databricks, GCP, AWS, and Azure.

• Agile
• Amazon Web Services
• Souci du détail
• Tests automatisés
• Analyse d’affaires
• CI/CD
• Communication
• Analyse de données
• Visualisation de données
• Django
• Docker
• Flask
• Git
• GitHub
• Google Cloud
• Java
• Jira
• Kubernetes
• Linux
• Apprentissage automatique
• Microsoft Azure
• Microsoft Excel
• MongoDB
• MySQL
• Sens de l’organisation
• PostgreSQL
• Power BI
• Résolution de problèmes
• Python
• Assurance qualité
• Collecte des exigences
• API REST
• Scrum
• SQL
• Tableau
• Travail d’équipe
• Terraform
• Gestion du temps

1. Senior Data Engineer (Cloud & Data Platforms)

   Sofrecom (Orange Group)

   janv. 2025 to juill. 2026

   Program: Orange Middle East and Africa — Stack DATA IA Platform • Deployed and configured Starburst (Trino) as the central federated query engine of the Stack DATA IA platform, enabling unified SQL access across data lakes (Hive/Iceberg), BigQuery, S3 object storage, and RDBMS sources without data movement (data virtualization), standardized across 17 countries in Middle East and Africa. • Built and optimized distributed SQL queries on Starburst/Trino (execution plans, predicate pushdown, partition pruning, join strategies, and resource groups / workload management), improving federated query performance and cluster resource efficiency by up to 30%. • Integrated Starburst connectors with Apache Iceberg lakehouse tables (ACID transactions, schema evolution, time travel) over Parquet/ORC on S3, supporting analytics and AI use cases scaling toward 1,000 use cases. • Implemented security, access control, and data governance via role- and team-based RBAC over catalogs, schemas, and tables, with approval workflows and data product descriptors, partnering with business and data engineering teams across 17 countries. • Developed a data quality marketplace that automatically scanned Starburst/Trino data products, computed quality metrics, and applied automated SLO enforcement, exposing results through a web interface. • Supported deployment, monitoring, and troubleshooting of Starburst clusters, SLA monitoring, root-cause analysis, Grafana/Prometheus dashboards, and Bash health-check automation using Uptime Kuma, ensuring high availability and reliability.

2. Data Engineer / Data Modeler

   Cnexia Tech

   oct. 2023 to déc. 2024

   Client: Bell Canada Project: Enterprise Data Modeling & GCP Data Integration • Migrated enterprise data and analytical workloads from Teradata and SAS to Google BigQuery, covering source-to-target mapping, SQL conversion, validation, and reconciliation. • Developed Cloud Composer (Apache Airflow) DAGs to orchestrate pipeline scheduling, dependencies, retries, data loading, and monitoring. • Built scalable GCP data pipelines using Cloud Data Fusion, Dataflow, Dataproc, and Cloud Storage to process and deliver curated datasets to BigQuery. • Designed and maintained BigQuery data models aligned with business, analytics, and reporting requirements. • Automated data-quality and reconciliation checks using Python and SQL, ensuring the completeness and accuracy of migrated datasets. • Established data governance and metadata-management processes using Collibra, maintaining business definitions, data dictionaries, lineage, ownership, and technical documentation. • Supported source-code management and automated pipeline deployments using GitLab CI/CD, improving deployment consistency and reducing manual release activities.

3. Data Engineer

   ALTEN Group

   févr. 2023 to sept. 2023

   Client: Bouygues Telecom France Project: Cloud Data Pipelines & Data Quality Automation • Built automated data quality monitoring, reconciliation, and anomaly detection workflows in Python, reducing manual interventions and improving trust in reporting outputs. • Developed Databricks-based data pipelines using Spark and Python, integrating cloud data sources across AWS and GCP. • Optimized SQL-based transformations and reporting datasets for performance, consistency, and maintainability.

4. Data Engineer & BI Specialist

   TITAXI

   juin 2021 to janv. 2023

   Freelance Engagement Project: Data Engineering, Business Intelligence & Reporting Progressed from Business Intelligence Developer • Designed and implemented automated data pipelines supporting reporting and advanced analytics requirements. • Integrated, cleaned, and transformed data from multiple sources into reliable analytical datasets. • Optimized data workflows and data warehouse processes to improve performance and maintainability. • Delivered structured and trusted data to support reporting, analytics, and business decision-making.

5. Business Intelligence Developer

   TITAXI

   avr. 2019 to mai 2021

   Freelance Engagement Project: Data Engineering, Business Intelligence & Reporting • Developed and optimized business intelligence solutions aligned with project and operational requirements. • Automated recurring reporting processes and created dynamic dashboards for KPI monitoring. • Prepared and modeled data to provide reliable reports and actionable business insights. • Contributed to AI-enabled analytical solutions designed to improve data analysis and decision-making.

1. Université Sidi Mohammed Ben Abdellah

   MSc, Intelligent and Mobile Systems

   Fès, Morocco

   Relevant Coursework: Big Data, Data Warehousing, Data Engineering, Machine Learning, IoT.

2. École Supérieure de Technologie

   BSc, Business Intelligence

   Oujda, Morocco

• AWS Certified Data Engineer – Associate

  AWS

• Microsoft Certified: Fabric Data Engineer Associate

  Microsoft

• Google Cloud Certified – Professional Data Engineer

  Google Cloud

• Google Cloud Certified – Professional Cloud Architect

  Google Cloud

• Dataiku Advanced Designer

  Dataiku

• Databricks Certified Data Engineer Professional

  Databricks

• Agile Foundations

  LinkedIn

• IBM Data Science Professional Certificate

  IBM

• Machine Learning Certificate

  DeepLearning.AI

• IELTS : C1 Proficiency

  IELTS

• TCF French Canada

  France Éducation international

• arabeLangue maternelle
• allemandConversationnel
• anglaisCourant
• françaisCourant