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Ibrahima F.IF

Ibrahima F.

Data Architect & Data Engineer | GCP, Spark, Kafka, Big Query, Scala

€700/day
3 projects
Paris, FR
8-15 years

Average response time: A few days

Freelancer profile translated to English.
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About Ibrahima

Data Architect & Senior Data Engineer GCP, I support large companies in the design and deployment of scalable data platforms on Google Cloud Platform.

Over 10+ years of assignments, I have led structuring projects: migration of an on-premise datalake to GCP at Renault, redesign of the Decathlon data loyalty program (Spark/Kafka/Scala), and architecture of a reimbursement management system at BPCE (Bigtable/BigQuery/Kafka).

Concrete result: 90% reduction in data infrastructure costs at BPCE.

Good ability to simplify, I know how to make data subjects accessible to all stakeholders, from developers to the executive committee. I translate technical challenges into clear business decisions, which facilitates arbitration and accelerates projects.

Available for data architecture missions, GCP cloud migration, pipeline optimization, FinOps, and data team coaching for 2+ months.

References: BPCE, Decathlon, Renault, Société Générale, Natixis, Galeries Lafayette.
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km), Lille (up to 10km), Nantes (up to 10km), Lyon (up to 10km), Orléans (up to 10km)

Experience

  • BPCE
    Data Architect & Data Engineer
    BANKING AND INSURANCE
    June 2024 - Today (2 years)
    Paris, France
    Led the complete redesign of a reimbursement request management system, including fraud detection capabilities.

    Designed and implemented a streaming data architecture on Google Cloud Platform: Bigtable for real-time storage, BigQuery for analytics, Pub/Sub and Kafka for ingestion, Cloud Run Jobs for orchestration. Result: 90% reduction in operational costs, improved team responsiveness, and increased system robustness.

    Close collaboration with business stakeholders to ensure alignment between technical deliverables and business objectives.

    Technologies used: Bigtable, Composer, BigQuery, GCS, Jenkins, Kafka, Pub/Sub, Terraform
    Apache Kafka Big Query Google cloud Spark Scala
  • DECATHLON
    Senior Data Engineer
    RETAIL (SMALL BUSINESS)
    April 2022 - May 2024 (2 years and 2 months)
    Lille, France
    Scaled the Decathlon loyalty program data platform: 10M → 11M users, €35K → €50K daily revenue, architecture capable of supporting 100x load.

    Managed and upskilled a team of data engineers on distributed architectures (Spark, Kafka, Scala).

    Designed a scalable data platform on AWS (S3, Glue, Lambda), structuring analytical models via Redshift and dbt to facilitate data exploitation by business teams.

    Led the redesign towards a cloud-native architecture (EKS, ElastiCache), enhancing the resilience and scaling capacity of the entire system.

    Stack: AWS (EMR, MSK, S3, Glue, Lambda, Redshift, EKS, ElastiCache), GCP, Kafka, Spark, dbt, SQL, Python, Scala, Terraform, CI/CD
    Spark Apache Kafka DBT Scala Amazon Web Services
  • Renault Digital
    Senior Data Engineer
    AUTOMOBILE
    July 2020 - March 2022 (1 year and 9 months)
    Paris, France
    Led the migration of an on-premise datalake to Google Cloud Platform for all Renault data projects.

    Designed Spark/Scala pipelines on Dataproc (batch), Pub/Sub (streaming), and Dataflow to integrate legacy data into the new GCP architecture. Set up daily analytical reports via BigQuery.

    Structured the complete CI/CD: Airflow for orchestration, Artifact Registry for versioning, Terraform for infrastructure as code.

    Stack: Scala, Spark, Python, BigQuery, Dataproc, Dataflow, Google Cloud Platform, Terraform, Jenkins, CI/CD, Airflow
    Spark Airflow Big Query Google cloud Dataflow

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Education

  • Engineer
    ENSIIE
    2016
  • Master
    Paris Saclay
    2016

Certifications

Skill set

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