OMÀ propos de Oceane
Data Quality Specialist helping teams improve the reliability and governance of their data.
I build monitoring tools and dashboards (Python, Power BI) and support data documentation in Collibra or Dataplex.
Experienced in data engineering, governance, and AI-readiness projects on GCP and Azure.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- AXADATA MANAGER & DATA STRATEGISTBANQUE & ASSURANCESseptembre 2024 - Aujourd'hui (1 an et 9 mois)Paris, France
- Oversaw and supported business teams in implementing the Data & AI Governance Strategy at AXA France.
- Built a Python/PySpark monitoring tool to track data quality and reliability across the Azure Data Lake via Power BI.
- Designed ML and GenAI POCs (Regression, Classification, KNN) addressing business-specific challenges.
- Trained and guided Data Stewards (IARD division) on governance best practices and documentation in Collibra.
- Led data literacy initiatives at scale through educational videos and internal publications.
- Mapped and governed Databricks Datalabs (IARD scope): usage management, compliance, ownership definition.
- Documented critical datasets in Collibra in collaboration with over 20 stakeholders.
Stack: Python, PySpark, SQL, Azure, Databricks, ETL, Power BI, Collibra, Data Lineage, Data Quality, AI Governance, MLOps - QERYNFOUNDER & DATA SCIENTISTAGENCE & SSIImars 2025 - Aujourd'hui (1 an et 3 mois)Paris, France
- Developed the QerynCore backend API (Python + FastAPI) to orchestrate AI content generation (text, image, audio, video).
- Designed modular AI routing pipelines and real-time conversational orchestration (RAG-like architecture).
- Integrated Firestore, Stripe (plans & usage quotas), and analytics tracking for generation traceability.
- Set up a serverless GCP environment with CI/CD via GitHub Actions for automated deployment.
- Defined product strategy, user feedback loops, and usage KPIs to guide development priorities.
Stack: Python, FastAPI, GCP (Cloud Run, Firestore), Stripe API, GitHub Actions (CI/CD), Generative AI, API Design, Real-Time Orchestration, Usage Analytics - Société GénéraleDATA ANALYTICS ENGINEERBANQUE & ASSURANCESseptembre 2023 - septembre 2024 (1 an)Paris, France
- Analyzed 10M+ transactions using SQL & PySpark for pre- and post-migration testing to the Data Lake (across France, Germany, Switzerland, Belgium, Spain, UK, US, Hong Kong).
- Conducted causal analyses to identify data discrepancies, leading to critical pipeline redesigns.
- Modeled business tables and views in the Data Lake, enabling cross-functional reporting for Finance & Compliance teams.
- Built Power BI dashboards for 5 strategic business units.
Stack: SQL, PySpark, ETL, Hive, HDFS, Power BI, Data Pipelines, Gap Analysis, Causal Inference, Data Reliability
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Formations
- MBA in Big Data & Artificial IntelligenceMBA ESG2024Focus: Big Data, Machine Learning, Data Management, Governance, Cloud (AWS Project), SQL, RPA
- Engineering Degree in Information SystemsESEO Engineering School2023Focus: Information Systems, IoT & Big Data Platforms, Software Architecture, Database Design, Project Management
Certifications
- Data Governance with Dataplex Universal CatalogGoogle2025
- Information Systems Auditing, Controls and AssuranceThe Hong Kong University of Science and Technology2025