Freelancer profile translated to English.
Back to original languageAbout Ismail
Data Engineer with 3.5 years of experience in multi-cloud data pipelines (GCP, Azure, AWS). Expertise in ETL/ELT orchestration, modern architectures (Lakehouse, Data Fabric), and AI integration (RAG, LLM, MLOps, AI Agents).
Technical rigor and business vision.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Expleo Group, Client Renault GroupData Engineer / Akinator Vehicle ProductAUTOMOBILEFebruary 2026 - Today (4 months)78280 Guyancourt, FranceBusiness-oriented Data Engineer, I address Vehicle Tracking issues by covering data solution design, architecture, and production deployment. I support the monitoring of series and test vehicles from manufacturing to delivery, while contributing to high-value solutions for the program: data quality improvement, automation, governance, and innovation.My initial achievements include:
- Development of a anomaly correction solution for multi-source kilometric time series.
-> Correction applied to 229.5 GB of BigQuery and PostgreSQL data, in integration and production.- Automation of technical documentation (MCP server + Copilot), adopted by 18 developers.
- Delivery of an internal chatbot POC (Multi-RAG, Vertex AI) ensuring data confidentiality and governance, for deployment to 5,000+ employees.
- Expleo GroupData Engineer and ArchitectApril 2025 - Today (1 year and 2 months)Saint-Quentin-en-Yvelines, FranceAs part of an R&D project, Scarlet, dedicated to flood prediction and prevention for several clients in France, I assisted Expleo's teams in designing and implementing a modern, high-performance, and scalable data architecture. My involvement covered the entire data value chain, from architecture to deployment: Main achievements:
- Design of a scalable data architecture based on a Lambda approach and a medallion model (Bronze / Silver / Gold), deployed on Azure Blob Storage and Databricks, for an MVP of detection and prediction covering 12 data sources via 3 pipelines.
- Development of 3 data pipelines (Cold, Hot, Onboarding) enabling historical data ingestion, real-time processing, and integration of 5 clients.
- Development of the web backend (FastAPI, PostgreSQL) deployed on Azure, including the management of multi-component GitLab infrastructure and the implementation of CI/CD pipelines.
- Expleo Group, ClientAirbusData EngineerAVIATION AND AEROSPACEOctober 2025 - January 2026 (3 months)Toulouse, FrancePython development of the GAT tool for orchestrating multi-format pipelines (images, CSV, AIR, MAP, HDF5), with automated parameter loading (TSAS), versioned and documented on GitHub Enterprise.Initiation of data migration to the Palantir platform, with definition of the first flows and integration foundations.
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Education
- RNCP (Bac +5) training in NLP, ML/DL, and MLOpsArtefact School of Data2024Formation RNCP (Bac +5) en NLP, ML/DL et MLOps
- Engineering Degree in IoTSUPMICROTECH-ENSMM2022Diplôme d'Ingénieur en IoT