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Chakib O.CO

Chakib O.

Supermalter

Senior Data Architect | Data Platform & Cloud

EUR 868/Tag
5 Projekte
London, GB
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Chakib

Senior Data Architect with 10+ years of experience delivering modern data platforms using dbt, Databricks, BigQuery, and Snowflake. I design and implement scalable data pipelines, data warehouses, and lakehouse architectures on AWS and GCP, with a strong focus on data quality, performance, and cost optimization.

I work with companies to modernize their data stack, migrate from legacy ETL (Talend, Informatica) to cloud-native ELT, and build reliable, production-grade analytics platforms.


Core Skills & Expertise

Data Architecture / Data Engineer / Data Platform
•Data Architect, Lead Data Engineer, Analytics Engineer
•Design of data platforms, lakehouse, data warehouse
•BigQuery, Snowflake, Databricks architecture
•Dimensional modeling, Data Vault, scalable schemas

dbt / ELT / Data Transformation
•dbt (core + cloud): modeling, testing, documentation
•Migration from ETL to ELT (dbt-first approach)
•SQL optimization, incremental models, performance tuning

Data Pipelines & Integration
•API ingestion, batch & streaming pipelines
•Tools: Talend, Informatica, NiFi, Glue
•Event-driven architecture (Kafka, Pub/Sub)

Cloud & Big Data
•Google Cloud Platform (BigQuery, GCS, Pub/Sub)
•AWS (Redshift, S3, Glue)
•Distributed data processing and large-scale datasets

Data Quality / Governance / MDM
•Data quality frameworks (tests, validation, profiling)
•Master Data Management (MDM)
•Data lineage & catalog (OpenMetadata)

DevOps & Infrastructure
•Terraform (Infrastructure as Code)
•CI/CD (Jenkins, GCP Cloud Build)
•Git workflows and deployment pipelines


Technologies (Keywords Optimized)

Data Platforms
BigQuery • Snowflake • Databricks • Redshift

Transformation / ELT
dbt • SQL • Talend • Informatica • Apache NiFi • AWS Glue

Cloud
GCP • AWS

Streaming
Kafka • Pub/Sub

Databases
PostgreSQL • MySQL • Oracle • SQL Server • BigTable

Infrastructure &
  • Arabisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Französisch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
London (bis zu 50 km)

Projekt- und Berufserfahrung

  • DATA INSIGHT Ltd.
    Data Architect / Senior Data Engineer
    Juli 2019 - Mai 2023 (3 Jahre und 10 Monate)
    London Metropolitan Area, UK
    Experience with esteemed clients: I have had the privilege of collaborating with various reputed organizations, bringing their data strategies to life:
    - Telegraph Media Group
    - Boston Consulting Group (BCG)
    - Decathlon
    - L'Oréal Skills and Technologies: My expertise lies in utilizing a diverse array of technologies to deliver innovative data solutions: Databases: Proficiency in various databases, providing tailored solutions based on project requirements:
    - Google BigQuery
    - Snowflake
    - AWS Redshift
    - Databricks
    - MySQL/PostgreSQL Data Pipeline and Workflow Management: Expert in building and managing data pipelines and workflows, ensuring efficient data flow:
    - Talend
    - DBT
    - Sprocs/GCP workflows Cloud Platforms: Hands-on experience with top cloud platforms for data storage and processing:
    - Amazon Web Services (AWS)
    - Google Cloud Platform (GCP) Messaging and Streaming: Leverage messaging and streaming services for real-time data processing:
    - Google Pub/Sub Infrastructure as Code: Proficient in Infrastructure as Code tools for resource management:
    - Terraform Version Control System: Consistently use version control systems to manage code versions and collaborate effectively:
    - Git Continuous Integration / Continuous Deployment (CI/CD): Experienced in CI/CD tools, promoting efficient and error-free deployments:
    - Jenkins
    - Google Cloud Build
  • Data and beyond limited
    Data engineer
    DIGITALAGENTUREN & IT-CONSULTING
    Mai 2022 - Heute (4 Jahre und 1 Monat)
    Contributing to various data engineering initiatives within cloud and modern data platform environments. My role involves designing scalable data pipelines, optimizing performance across distributed systems, and applying best practices in data governance.
    Key engagements include projects involving data modernization, reporting automation, and infrastructure-as-code, using tools such as dbt, Snowflake, GCP, Databricks, and Terraform.

    Clients: QA, The Telegraph, Leasecom, Coty.
    Databricks BigQuery Dbt Terraform Snowflake
  • Data and Beyond limited
    Data Engineer
    Mai 2023 - Heute (3 Jahre und 1 Monat)
    London, UK
    Collaborating with l'Oréal as a Data engineer GCP

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Ausbildung und Abschlüsse

  • Master of Management
    IAE FRANCE - Ecoles Universitaires de Management
    2011
    Master's degree in Management, Management
  • DEUG, Informatique
    Faculté des Sciences Semlalia Marrakech
    2005
    DEUG, Informatique

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