Freelancer profile translated to English.
Back to original languageAbout Saïba
Data Scientist/ Data Engineer with a solid hybrid profile, I work on the entire data lifecycle, from ingestion to valorization and industrialization of Data solutions. I work on data platform modernization projects in Azure / Databricks, GCP environments. Experience in designing and industrializing data pipelines, processing large volumes with Spark (PySpark / SQL) and structuring data in Lakehouse architectures. Skills in data modeling, SQL Server source integration, and preparing analytical datasets for Power BI reporting. Involved in data governance initiatives through Data Galaxy. Accustomed to working in Agile Scrum teams, interacting with Data, BI, and business teams.
Key Skills:
📊 Data Science & Data Engineering
- Development, deployment, and monitoring of data pipelines (API, Scraping, ETL, ELT)
- Data analysis and visualization (DataBricks, Power BI)
- Predictive modeling and Machine Learning (supervised, unsupervised)
⚙️ Automation & Optimization
- APIs (REST)
- ETL, ELT (DataBricks, Azure Datafactory, Airflow)
- Low-code tools (n8n)
- Cloud (GCP: GCS, BigQuery, Cloud Composer (Airflow), Vertex AI, kubeflow)
- CI/CD pipelines: Azure DevOps, Cloud Build/Cloud Run
🛠 Tools & Technologies
- Cloud & Industrialization: Azure, GCP, Docker, Flask API, Kubernetes, Git (CI/CD pipelines)
- Production deployment and monitoring of models: Azure DevOps, Docker, Kubernetes, MLFlow
- Programming: Databricks, Python, R, SAS
- Databases: SQL, PostgreSQL, SQL Server
- Cloud: Azure, GCP
- DevOps: Docker, Kubernetes, CI/CD, GitHub Actions, GitLab CI
- Workflow orchestration: Azure Data Factory, Databricks workflows, Airflow
- Data visualization: Power BI, Streamlit, R Shiny
📩 Contact me to discuss your project!
French
Native or bilingual
English
Fluent
Can work on-site
Nantes (up to 50km), Paris (up to 50km), Rennes (up to 50km), Strasbourg (up to 50km), Lyon (up to 50km)
Experience
- SNCFData Scientist / Data EngineerTRANSPORTATIONOctober 2025 - Today (8 months)Nantes, FranceContext: Implementation and monitoring of a scalable Data platform within an agile team for various projects.Achievements:✅ Development, deployment, and monitoring of data pipelines via Azure Databricks, Azure Data Factory (ADF), Azure DevOps✅ Production of business insights (KPIs) on Power BI for activity monitoring and steering✅ Data governance via Unity Catalog, Data Galaxy✅ Environments: Databricks, Spark, Azure, Power BI, DataGalaxy, Confluence, Jira, Agile Scrum environment
- ORS - PACAData Scientist / Data EngineerHEALTH AND WELLNESSFebruary 2024 - August 2025 (1 year and 6 months)Marseille, FranceContext: Management and structuring of data for various projectsTasks:✅ Implementation of processing to structure and standardize data✅ Implementation of clustering techniques for business use cases✅ Creation of key indicators to simplify results.✅ Environments: Python, SQL, Oracle, Machine Learning, Big Data
- Inserm INSERM / APHPData Scientist / Data EngineerHEALTH AND WELLNESSJune 2023 - December 2023 (6 months)Paris, FranceContext: Retrospective multicenter study to evaluate the impact of COVID-19 on emergency digestive surgeryTasks:✅ Analysis of big data from 39 hospitals (EDS-APHP)✅ Implementation of statistical and Machine Learning methods for mortality prediction in patients undergoing digestive surgery.✅ Simplification of results through co-authoring a scientific article✅ Environments: Python, R, Spark, PostgreSQL, EDS, Machine Learning, Big Data
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Education
- Data EngineerENSAI2023ENSAI Ingénieur Data
- Statistician EngineerENSAE-Dakar2021Ingénieur Statisticien
Certifications
- Azure Databricks & Spark For Data EngineersUdemy2026