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Bilingual Senior Data Engineer | Cloud & Data Platforms

Toronto, ON

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Université Sidi Mohammed Ben Abdellah

About

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.

Skills

  • Agile
  • Amazon Web Services
  • Attention to detail
  • Automated testing
  • Business analysis
  • CI/CD
  • Communication
  • Data analysis
  • Data visualization
  • Django
  • Docker
  • Flask
  • Git
  • GitHub
  • Google Cloud
  • Java
  • Jira
  • Kubernetes
  • Linux
  • Machine learning
  • Microsoft Azure
  • Microsoft Excel
  • MongoDB
  • MySQL
  • Organization
  • PostgreSQL
  • Power BI
  • Problem solving
  • Python
  • Quality assurance
  • Requirements gathering
  • REST APIs
  • Scrum
  • SQL
  • Tableau
  • Teamwork
  • Terraform
  • Time management

Experience

  1. Senior Data Engineer (Cloud & Data Platforms)

    Sofrecom (Orange Group)

    Jan 2025 to Jul 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 Dec 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

    Feb 2023 to Sep 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

    Jun 2021 to Jan 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

    Apr 2019 to May 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.

Education

  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

Licences & certifications

  • 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

Languages

  • ArabicNative
  • GermanConversational
  • EnglishFluent
  • FrenchFluent