À propos de Florent
I work at the intersection of industry, design, and data — a combination that lets me build analytics solutions grounded in how things are actually made, sold, and decided on.
What I bring is lateral thinking and system-level reasoning: connecting physical processes, business constraints, and data architectures into coherent models. This is where I fit best in OT/IT convergence and Digital Thread initiatives.
I help industrial organizations standardize and integrate data flows from design to production, using metamodel-driven schemas and practical IT/OT artifacts for integration, documentation, validation, and reuse across the path from edge systems to time series databases, lakehouse models, semantic layers, graphs and dashboards.
What I work on
- OT/IT data pipelines (streaming, batch) and industrial analytics
- Fabric / Power BI semantic models and dashboards
- Grafana monitoring for industrial processes
- Manufacturing traceability and data quality
- LinkML-based standardization of industrial data models
Focused on
- Digital Thread: from design to production, end-to-end traceability
- OT/IT Convergence: Modbus, OPC UA, SCADA, MQTT, Kafka, ISA-95, UNS, AAS, LinkML
- XaC (everything-as-code): infra, config, semantic, data, policy, cad, ... with GitOps and selective LLM automation
Anglais
Capacité professionnelle complète
Français
Bilingue ou natif
Accepte de travailler sur site
Bruxelles (jusqu’à 50 km), Liège (jusqu’à 50 km), Nivelles (jusqu’à 50 km)
Expériences
- XaC LabsFreelance Analytics EngineerCONSEIL & AUDITnovembre 2025 - Aujourd'hui (7 mois)Bruxelles, BelgiqueIndependent period focused on building a freelance practice around industrial analytics, OT/IT convergence, and modern data engineering.Core work- Designed and documented portfolio projects combining industrial data flows, time-series storage, semantic modeling, and operational dashboards.- Built an industrial process monitoring demonstrator using MQTT, Node-RED, TimescaleDB, Grafana, SVG-based process views, and Git-based documentation.- Developed an urban mobility analytics project covering API ingestion, analytical modeling, Power BI reporting, and reproducible project structure.- Deepened expertise in Microsoft Fabric, analytics engineering, MQTT, industrial data integration, and infrastructure-as-code practices.- Earned Microsoft Fabric and HiveMQ certifications to strengthen delivery credibility across lakehouse, BI, MQTT, and OT/IT integration contexts.Positioning- Industrial analytics and monitoring- OT/IT data pipelines and integration patterns- Power BI / Fabric semantic models and dashboards- Digital Thread, traceability, and data quality
- Orange BusinessBusiness Intelligence ConsultantAGENCE & SSIIseptembre 2023 - octobre 2025 (2 ans et 1 mois)Brussels, BelgiumData Consultancy — progressed from Data Analyst to Analytics Engineer, delivering end-to-end BI for clients across retail, industry, and energy.Core contributions
- Led exploratory data analysis to surface analytical potential and quantify business value across client portfolios.
- Integrated and consolidated heterogeneous data sources at European scale.
- Owned data quality, monitoring, and reliability throughout the delivery pipeline.
- Designed semantic models supporting large-scale analytical use cases.
- Delivered advanced Power BI dashboards and Paginated Reports, including custom and dynamic visualizations built with DAX and SVG.
- Drove documentation, knowledge transfer, and end-user enablement to make solutions sustainable beyond hand-off.
Selected engagements- Retail, Nutrition & Commercial Analytics — End-to-end BI delivery: ingestion, modeling, reporting, and adoption. Analysed recipes, nutritional values, sales volumes, resources, budgets, and project portfolios. Stack: Snowflake, Power BI.
- BI Redesign & Analytical Upgrades — Reviewed and rebuilt existing data models and reports; introduced UX/UI improvements and new analytical perspectives. Stack: Power BI.
- Smart Industry & OT–IT Convergence (internal R&D) — Modelled industrial time-series datasets (sensor data, wide tables) on real manufacturing processes (coextrusion, blown plastic film). Built real-time monitoring dashboards in Grafana with SVG-based process visualizations. Enriched production data to analyse quality, performance, and profitability. Stack: HiveMQ, Node-RED, PostgreSQL/TimescaleDB, Grafana, Power BI.
- Industry & Energy Systems — Member of a working group connecting industrial flexibility assets to energy and ancillary service markets across multiple countries. Designed scoring systems for data availability, completeness, coverage, and quality across IoT and external sources (ENTSO-E, TSOs, data vendors). Stack: GCP, APIs, industrial IoT.
- -Career Pivot — Data & Management UpskillingCONSEIL & AUDITdécembre 2020 - août 2023 (2 ans et 8 mois)Liège, BelgiqueA deliberate, structured period dedicated to building a durable foundation in data analytics, data management, and business decision-making — preparing the pivot from manufacturing toward digital transformation in complex environments.Focus areas
- Data analysis and analytics engineering training (TechnofuturTIC) and IBM Data Analyst specialization.
- Relational data modeling and RDBMS (SQL Server).
- Dimensional modeling, data warehousing, and Kimball methodology.
- Python with a focus on object-oriented programming.
- Business intelligence and data visualization with Microsoft Power BI.
- Management and organizational fundamentals — Master's degree in General Management (HEC Liège).
Earned during this period- Microsoft PL-300 — Power BI Data Analyst Associate.
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Formations
- Selected Modules (Specialised Master's Degree)HEC Liège2025Risk Management – Sustainable & Climate Finance
- Master's degreeHEC Liège2022Business Administration and Management, General