Beshoy Gamal

Angestellt, Principal Cloud Data Engineer / Generative AI Solutions Architect, Vodafone Group
Berlin, Germany

Fähigkeiten und Kenntnisse

Amazon Web Services (AWS)
DevOps
AWS
Big Data
Google Cloud Platform
Data Warehouse Engineering
Data Mesh
Generative AI
Azure Fabric
Azure Purview
Apache Spark
Apache Kafka
Streaming Analytics
Data governance
Data Quality Management
Data processing
Data Management
Data Modeling

Werdegang

Berufserfahrung von Beshoy Gamal

  • Current 4 years and 1 month, since Jun 2022

    Principal Cloud Data Engineer / Generative AI Solutions Architect

    Vodafone Group

    - Delivered 30+ data products on AWS, GCP and Azure using Data Fabric and Lakehouse - Led Data Mesh migration, enabling 12 autonomous data product teams - Built real-time streaming (Kafka and Spark) replacing legacy batch workloads - Automated infra via Terraform and GitHub Actions, setup time reduced by 65% - Deployed AI Agents (LangChain) for incident detection, MTTR reduced by 70% - Built RAG assistant, analyst query time reduced by 60% Impact: TTM +45%, Quality +75%, Recovery +400%

  • 3 years and 1 month, Jun 2019 - Jun 2022

    Senior Big Data Engineering / AI Solution Lead

    Ministry of Finance, Saudi Arabia

    - Architected data lake on AWS (S3, Glue, Athena, Redshift) for 3 banking clients - Built CDC real-time streaming (Kafka and Spark) across 10 government entities - Deployed data fabric via 40 microservices, 2M+ transactions at 99.95% SLA - Designed Data Virtualization layer (Denodo) across 6 heterogeneous data sources - Built ML pipelines (NLP and forecasting), reporting reduced from weeks to hours Impact: ROI +80%, SLA 99.95%

  • 5 years and 10 months, Sep 2014 - Jun 2020

    Senior Big Data Cloud Engineer / Data Science Architect

    EOH

    - Delivered 8 data platform projects across 5 countries, 3 SAP-recognised - Built ETL/ELT pipelines integrating 15+ source systems - UAE Sharjah Municipality: AI geospatial platform, traceability +60% - KSA Herfy: AI POS system for 300 salespeople, response time -40% - Egypt Hero Eagles: ML-based MRP system, efficiency +45% Stack: Spark, Hadoop, SAP BW, Python, SQL

Ausbildung von Beshoy Gamal

  • 4 years and 10 months, Sep 2008 - Jun 2013

    Computer Engineering

    Zagazig University

    Artificial Neural Networks Communication Networks Digital Circuits Embedded Control Systems Design Embedded Systems Microprocessor Design Programming

Sprachen

  • Arabic

    C2 (Verhandlungssicher / Muttersprachlich)

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

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