Freelancer profile translated to English.
Back to original languageAbout Khadimou Rassoul
Data Engineer & consultant DataOps, I design reliable and industrialized data pipelines (Spark, Airflow, BigQuery) and orchestrate their deployment via CI/CD (GitLab, Jenkins, Terraform). I support data teams to make their flows reliable, improve data quality, and move from POC to production.
In parallel, I designed and developed FamilyFund (familyfund.fr), a legal SaaS platform for entrepreneurs — a rare product vision for a technical profile, allowing me to speak to both data and business teams.
🛠 What I can do for you:
- Design and industrialize your batch & streaming pipelines (Spark, Airflow, Python, SQL)
- Deploy your processes on GCP / AWS / Azure (BigQuery, Dataflow, S3, Databricks)
- Implement a real data CI/CD chain (GitLab CI, Jenkins, Terraform, Ansible)
- Containerize and orchestrate your workloads (Docker, Kubernetes)
- Make your flows reliable: testing, monitoring, data quality, incident management
📂 Recent experiences:
- Data Engineer @ Groupe La Poste — BigQuery, Airflow, GitLab CI/CD pipelines
- Data Engineer BI @ Groupe Adéo — industrialization of data flows
- ICQA Analyst @ Amazon France — quality & control of operational data
- Founder DimDev / FamilyFund — full-stack Next.js + Python SaaS
⚙️ Stack: Spark · Python · SQL · Airflow · BigQuery · AWS · GCP · Azure · Docker · Kubernetes · GitLab CI/CD · Jenkins · Terraform · Ansible
📍 Lyon / Paris / Full Remote
⏱ Immediately available
💶 Daily rate: €400 (adjustable based on mission)
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lyon (up to 50km)
Experience
- Amazon FranceICQA Analyst (Inventory Control & Quality Assurance)March 2025 - Today (1 year and 3 months)Lyon, FranceControl and ensure the reliability of operational data in the logistics center.- Analysis of inventory discrepancies and root cause investigation- Intensive use of SQL to extract, cross-reference, and analyze large volumes of data- Anomaly detection and reporting on data flow quality- Collaboration with ops teams to optimize processes and reduce errors- Automation of recurring checks (scripts and queries)
- GROUPE ADEOData Engineer BIFebruary 2024 - June 2024 (4 months)Lille, FranceDesign and industrialization of BI data flows for the group's business units.- Development of Spark / Python pipelines for data ingestion and transformation- Job orchestration via Airflow- Deployment and execution on GCP (BigQuery, Dataflow)- Implementation of CI/CD via GitLab CI/CD to automate job deployment- Optimization of SQL performance and data quality management- Collaboration with data and business teams to ensure dashboard reliability
- La Poste GroupeData EngineerDIGITAL AND ITFebruary 2023 - December 2023 (10 months)Issy-les-Moulineaux, FranceAdvanced use of Linux environments for data pipeline development and deployment.Implementation of Dockerized environments, image preparation, and container management for application deployment.Orchestration and automation via Airflow, scripting in Shell and Python for system tasks.CI/CD: automated deployment of jobs via GitLab CI/CD and Jenkins, in a Linux production environment.Contribution to access security, SQL performance optimization, and fine-grained rights management in BigQuery.Support and management of production incidents, in liaison with Linux operations teams
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Education
- Master Big Data & Artificial Intelligence (Master's degree)HETIC2023Formation Bac+5 spécialisée en ingénierie de la donnée et intelligence artificielle, combinant fondamentaux Data, cloud et industrialisation. Compétences acquises : - Data Engineering : Python, SQL, Spark, Airflow, BigQuery - Machine Learning & IA : Scikit-learn, TensorFlow, NLP, modèles prédictifs - Cloud & DevOps : AWS, GCP, Docker, Kubernetes, Terraform - CI/CD & automatisation : GitLab CI, Jenkins, Ansible - Architecture Big Data : ETL/ELT, data lakes, data warehouses - Systèmes Linux/UNIX, scripting Shell/Python Projets phares : pipelines data temps réel, mise en production de modèles ML, dashboards BI, migration cloud.
- Bachelor's Degree in Applied MathematicsUniversity of Bordeaux2022Formation en mathématiques appliquées : statistiques, probabilités, algèbre linéaire, analyse numérique, optimisation et programmation scientifique (Python, R). Bases mathématiques solides pour le Machine Learning et la Data Science.