Über Ibrahima
With 6 years of experience in data engineering, I help companies
design, deploy and maintain scalable data pipelines on GCP and AWS.
Core expertise:
- Cloud data architecture (BigQuery, Dataflow, Cloud Composer / Airflow)
- Infrastructure as Code with Terraform
- Data transformation with dbt
- Cloud migration & modernisation (On-premise → GCP/AWS)
- Complex workflow orchestration (Apache Airflow)
Certified GCP Professional Cloud Architect and Terraform, I recently
led the full migration from Cloud Composer 2 to Cloud Composer 3
(Airflow 2.10.2 → 2.10.5) at E.Leclerc, covering architecture
redesign, DAG refactoring and zero-downtime deployment in production.
Available for full remote missions or occasional on-site.
Englisch
Verhandlungssicher
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- E.LeclercCloud Data EngineerRETAIL (LARGE RETAILERS)September 2022 - Heute (3 Jahre und 9 Monate)Vitry-sur-Seine, FrankreichContext: On-premise to Google Cloud Platform migration in a largeretail environment.REALISATIONS
- Analysed storage architecture and data processing requirements, aligned with business needs and SLA constraints.
- Designed and implemented scalable data pipelines (Python, Airflow,
- BigQuery, Dataflow), ensuring data integrity and data warehouse performance.
- Coordinated prototype reviews with business and technical stakeholders before production rollout.
- Led end-to-end migration from Cloud Composer 2 to Cloud Composer 3 (Airflow 2.10.2 → 2.10.5): architecture redesign, DAG refactoring and phased deployment with high availability and zero downtime.
- Produced comprehensive technical documentation as the internal reference for onboarding and cross-team knowledge transfer.
Stack: Python · Airflow · Cloud Composer · Terraform · dbt ·BigQuery · Dataflow · GCP - Wuest PartnerData Engineer /ScientistREAL ESTATENovember 2020 - September 2022 (1 Jahr und 10 Monate)Paris, Frankreich
- Built an ETL pipeline in Python to process and enrich real estate listings, feeding downstream analytics workflows.
- Migrated web scrapers from BeautifulSoup to Scrapy, reducing technical debt and improving crawl reliability.
- Automated periodic spider execution on GCP virtual machines, ensuring daily data freshness.
- Designed and deployed REST API endpoints (Node.js / Express.js) on Google App Engine for asset management.
- Implemented Machine Learning models for real estate price prediction.
- Delivered data analysis reports surfacing actionable operational insights for the business team.
Stack: Python · Scrapy · GCP · Node.js · Express.js · MongoDB · Git - Amfine Soft and ServiceDéveloppeur et Intégrateur de donnéesSOFTWARE PUBLISHINGSeptember 2019 - September 2020 (1 Jahr)Paris, Frankreich
- Implemented and maintained ETL jobs (Talend) to automate Net Asset Value (NAV) data integration into production databases.
- Built and deployed a multi-application reporting tool on AWS, consolidating data from multiple sources.
- Designed web-based tools for database backup and restoration, integrated with Jenkins CI/CD pipelines.
- Configured AWS API Gateway to expose and manage a DynamoDB backend.
- Conducted code reviews, unit tests and performance testing to maintain service reliability.
Stack: Python · Java · JavaScript · Talend · AWS Lambda ·DynamoDB · Jenkins · Vue.js
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Ausbildung und Abschlüsse
- Master 2 (M2) Informatique DécisionnelleUniversité Paris Dauphine2020Le parcours MIAGE Informatique Décisionnelle vise à doter les étudiants de compétences scientifiques pour améliorer le fonctionnement des organisations par l'utilisation des outils de l'informatique décisionnelle et l'application d'une approche scientifique
- Licence InformatiqueInstitut Galilée2018
Zertifizierungen
- Professional Cloud Architect GCPGoogle2024