Career

• Define the target integration and data-flow architecture for a regional multi-tenant SaaS platform, leveraging MuleSoft, Kafka, Airflow and Azure Synapse.
• Architect the MuleSoft integration layer used to orchestrate application interfaces, enterprise services and data exchanges across the platform ecosystem.
• Design AIoT integration architecture for Parking/PoliceZone initiatives.
• Design Identity Governance and Administration capabilities together with tenant-isolation and access-control patterns supporting GDPR compliance.
• Define architecture governance, target operating models and reusable integration principles, and serve as a permanent member of the Architecture Review Board.
• Drive the migration of the on-premises ELK platform to a managed SaaS solution, incorporating Kafka-based event streaming for scalable data exchange and observability.
• Ensure alignment between integration architecture, cloud landing zones and the organisation's enterprise architecture vision.
• Design cloud landing-zone capabilities and assess risks and mitigation strategies for the data-centre migration programme.
• Lead implementation partners, subcontractors and technology providers throughout architecture and delivery phases.
• Designed and prototyped an Agentic AI Service Hub, using MuleSoft as the enterprise orchestration layer and Model Context Protocol (MCP) connectors to expose internal services and tools to AI agents.
• Developed a knowledge-base-connected enterprise chatbot, integrated with internal information sources through reusable connectors.
• Explored reusable architecture patterns for securely connecting AI agents with existing APIs, business applications and enterprise integration services.

EnvironmentBizzDesign, ArchiMate, Azure Synapse, Azure Entra ID, MuleSoft, Airflow, Kafka, Azure Landing Zones, Hub-and-Spoke, Red Hat OpenShift, AKS, Terraform, ELK, Dynamics 365 F&O, SharePoint, Confluence

• Served as Lead Architect for the GMAO platform based on Dynamics 365, Azure Synapse and business-intelligence capabilities, connecting operational processes with analytical use cases.
• Designed data-integration and transformation patterns across Dynamics 365, Azure Synapse, dbt, Python and the WSO2 enterprise service bus.
• Designed the IoT integration architecture for SmartBuilding initiatives.
• Defined reusable solution blueprints to align cloud, application and data architectures with organisational standards.
• Architected the integration between Genesys and Dynamics 365, connecting customer-interaction channels with CRM processes and data.
• Restructured the BruCity document-management architecture to strengthen data lifecycle management, access control and GDPR compliance.
• Led architecture for digital-signature capabilities aligned with eIDAS requirements and for projects serving public educational institutions.
• Produced High-Level Designs and technical RFP specifications, and assessed supplier proposals for cloud and digital-platform initiatives.
• Advised business and technical stakeholders on architecture choices, risks, platform standards and implementation roadmaps.

EnvironmentOrbus iServer, ArchiMate, Azure, Microsoft 365, Azure Synapse, dbt, Python, Dynamics 365, Azure DevOps, Power Apps, EDM, EDRMS, WSO2 ESB, Microsoft Endpoint Configuration Manager, Intune, VMware, IAM, Azure AD B2C, Azure Virtual Desktop, Genesys

• Served as Lead Data Science and Cloud Advisor for the Joint Research Centre, supporting the architecture and platform selection of advanced analytics initiatives.
• Designed and delivered Machine Learning and Deep Learning proofs of concept on hyperscale Azure and AWS platforms.
• Evaluated HPC-backed architectures for compute-intensive Machine Learning and Deep Learning workloads.
• Architected Big Data and data-science platforms using Azure Synapse, Databricks, Apache Spark, AWS Athena, DynamoDB and Azure SQL Hyperscale.
• Implemented distributed data-processing and analytical solutions using Azure Synapse, Apache Spark, Power BI and Qlik.
• Defined multi-cloud data architectures spanning Azure and AWS services, including data storage, distributed processing and analytics components.
• Advised project teams on workload placement, cloud-service selection and architectural patterns for data-intensive use cases.

EnvironmentAzure, AWS, OVH, Azure Synapse, Azure Databricks, Apache Spark, DynamoDB, AWS Athena, Azure SQL Hyperscale, Power BI, Qlik, HPC, AKS, ELK, Dynatrace, Azure Virtual Desktop

• Defined the target architecture for enterprise analytics, data warehousing and Master Data Management capabilities.
• Designed a governed Data Lake architecture covering data ingestion, integration, consumption, security and GDPR compliance.
• Delivered a proof of concept for a modern cloud data pipeline using Azure Data Factory and Databricks.
• Defined data-access and identity patterns to protect sensitive enterprise data across cloud and on-premises environments.
• Contributed to the One ID programme, consolidating multi-cloud and on-premises Identity and Access Management.
• Produced High-Level Designs for the migration and modernisation of enterprise solutions on Microsoft Azure.
• Established architectural foundations supporting multidimensional analytics, Data Science and Machine Learning workloads.

EnvironmentTOGAF, Azure, Azure Databricks, Azure Data Factory, GCP, Ping Identity, Kubernetes, Docker, Enterprise Architect, Data Science, Machine Learning

• Defined the target Data Warehouse architecture for Post-Trade analytical and Business Intelligence use cases.
• Established Master Data Management and Data Quality principles for enterprise analytical data.
• Designed application and data-integration architectures within the bank's Enterprise Application Integration environment.
• Modernised integration between operational applications and analytical components using APIs, SSIS, SQL Server, Oracle and .NET Core.
• Contributed to the architecture and engineering standards of the Enterprise Analytics Platform.
• Industrialised software delivery through DevOps, continuous integration and BNP Paribas's Quality Assurance Plan.
• Provided technical leadership, coaching and coordination of onshore, offshore and outsourced teams.

EnvironmentSQL Server, Oracle, SSIS, UML, DevOps, Git, TeamCity, .NET Core, Web API, Angular, Redis, CQRS, Sparx Enterprise Architect