Data architecture, engineering & governance

Data platforms, pipelines, DAMA and FAIR governance, data models and large-scale data estates.

54 contributions across 8 experiences

Where this skill was applied

Often together withAI governance, risk & regulatory compliance Solution & enterprise architecture Semantic engineering & knowledge management Cloud & multi-tenant SaaS platforms Data Strategy for AI Machine learning, deep learning & MLOps

2024–20256 contributions

EPAM Systems

Designed the technical questionnaire responses on model orchestration, multi-LLM integration, RAG, embedding strategies and secure deployment, articulating EPAM’s LLMOps approach, AI Factory and compliance measures, and coordinated contributions from global EPAM teams.
Directed engagements in data engineering and cloud platforms, defining enterprise data-platform strategies on Snowflake, BigQuery and Synapse and advising on data contracts, service tiering and pipeline monitoring.
Leading telecom operator, Africa: co-led the RFP response on enterprise AI/GenAI strategy, developing a target-state federated AI architecture, AI Factory delivery capabilities and a GenAI integration roadmap.
Global chemical manufacturer: lead architect for GenAI in R&D, engineering and production — semantic ingestion pipelines, RAG over structured and unstructured data, and a phased path from PoCs to multi-agent assistants on a modular, scalable architecture.
Established a production MLOps operating model: experiment tracking, feature management, model registry, reproducible pipelines, CI/CD, automated testing, deployment controls, rollback, monitoring and scheduled retraining.
Implemented end-to-end observability across data pipelines, retrieval layers, LLM calls, agent workflows, model outputs, user feedback, infrastructure performance and operational cost.

2012–20136 contributions

United Nations

Led a team of data scientists and architects on a climate-change project, designing a large-scale data architecture managing 1.2 billion records to analyse agrobiodiversity.
Authored technical documentation defining recommended criteria for national and international data platforms and enterprise data architecture for desertification datasets, presented to Prime Ministers of several countries at UNCCD COP 10. Evidence ↗
Directed the integration of research data from 1,260 institutes worldwide through GBIF, spanning 358 taxonomies and ontologies, for analytics, reporting and scientific insight.
Engineered REST/SOA services enabling cross-agency interoperability for scientific and environmental data platforms.
Built semantic data-integration components harmonising agrobiodiversity datasets with global ontologies for multi-agency use.
Designed and documented a UN institutional data-governance framework, including enterprise database analysis and entity-relationship modelling for multi-country, multi-agency data systems. Evidence ↗

2025–20265 contributions

Solara28

Architected and implemented a governed Agentic Factory coordinating eight specialised virtual teams and 32 autonomous AI agents across the end-to-end software delivery lifecycle, generating 6,000,000+ lines of production-ready code, documentation and change artefacts in under one year across a polyglot stack (TypeScript, Supabase/PostgreSQL, FastAPI, Stripe, Vercel).
Developed an ecosystem strategy covering payments, accounting and e-invoicing, logistics, local commerce associations, digital agencies and technology providers to accelerate merchant acquisition and operational integration.
Engineered a secure PostgreSQL architecture with hundreds of tables and compound Row Level Security policies, enforcing deterministic tenant isolation across platform, store, staff and customer contexts, with governance-by-design audit logging, activity feeds and observability of API latency, background jobs, errors and cache performance.
Built a polyglot, high-performance stack on TypeScript, Supabase/PostgreSQL, FastAPI and Apache Spark, supporting real-time operations, analytics and scalable AI workloads.
Designed a fully API-first commerce infrastructure governing the complete retail lifecycle — dynamic catalogue management, logistics and proprietary driver-network routing, native multi-channel CRM and loyalty analytics — enabling modular extensibility and third-party integrations.

20264 contributions

Gavi, the Vaccine Alliance

Designed the Azure architecture extending Gavi’s Programmatic Dashboard from reactive reporting to predictive early warning, forecasting country × vaccine stock-buffer breaches 6–12 months ahead — integrating SAP, UNICEF SD/Thrive360 and VaxNeed into Azure SQL and a row-level-secured Power BI model, with forecasting on Azure Machine Learning and grounded narrative generation on Azure OpenAI behind an API Management LLM gateway.
Skills and technologies: Azure solution and security architecture (App Service, Static Web Apps, Functions, SQL, Blob, Key Vault, API Management, Data Factory, Machine Learning, AI Foundry, AI Search, Monitor) · Snowflake · Azure OpenAI, RAG, multi-agent and agentic AI · MLOps/LLMOps and AI evaluation · AI governance, Responsible AI and EU-aligned AI risk management · Entra ID, RLS, TDE/CMK, PIM, managed identities, TLS · C4 and TOGAF · Power BI, Power Platform, Copilot Studio, Purview, Sentinel · confidential-data governance · innovation portfolio governance, vendor selection and procurement · Design Thinking and rapid prototyping facilitation.
Established the reusable reference architecture for grounding Copilot agents in enterprise knowledge — SharePoint → Azure Blob → Snowflake → Azure AI Search vector index → Power Automate → Azure OpenAI → Copilot in Teams/SharePoint — secured with Entra ID RBAC, Key Vault and Purview DLP, with mandatory citation traceability and token-consumption cost controls.
Designed the secure Azure architecture for Gavi’s confidential Ombuds, Staff Counsellor and Ethics & Compliance case- and visitor-management platform: three segregated functions on Azure App Service over Azure SQL with Transparent Data Encryption and customer-managed keys in Key Vault, row-level security, Entra ID app roles enforced per request, managed identity as sole database principal and Privileged Identity Management with no standing admin access.

20184 contributions

Fair Trade Handels

Led data governance on the DAMA Body of Knowledge framework, ensuring compliance with GDPR, SOPs, GMP and GCP.
Built the data and reporting estate on Snowflake and implemented dashboards with KPIs for customer engagement, global supply chain, digital marketing, sales operations, change management and programme management.
Architected a new enterprise data architecture and data valuation model, changing how business processes measure and prioritise the value of data.
Implemented end-to-end data-flow and integration standards and GDPR-compliant master data, making data FAIR across functions.

2002–20114 contributions

United Nations CGIAR

Designed a new data governance framework for the UN agency IPGRI (International Plant Genetic Resources Institute), aligned with DAMA and applying ISO/IEC 27001 principles, setting data-management standards for global agricultural research.
Designed the R&D bioinformatics data standard “Darwin Core Germplasm”, extending the Darwin Core international standard for agrobiodiversity analytics, presented at the Biodiversity Information Standards (TDWG) conference 2010 in Woods Hole, USA.
Developed digital tools and methods for genetics and omics research for food production, including federated access, SOA services, RESTful applications and data standards.
Led the design, delivery and launch of the United Nations CGXchange Analytics Platform, enabling advanced analytics, data manipulation and cross-agency access for omics, germplasm, plant and species datasets. Evidence ↗

2019–20243 contributions

DSM-Firmenich

Designed the data governance strategy for R&D and manufacturing on the DAMA Body of Knowledge, with policies, FAIRness guidelines, quality standards and data stewardship aligned to the corporate digital strategy.
Developed the global strategy for adopting clinical-trial data standards, extending CDISC-SEND to animal nutrition research to enable rapid submission of results to the FDA.
Speaker at international pharma and health conferences on digital and data management, building DSM’s thought leadership in AI and data science.

2013–20183 contributions

Nespresso (Nestlé)

Senior Managing Consultant with broad scope across digital and data science in Nespresso’s commercial and e-commerce business, focused on integration, forecasting, communication and coordination across global markets.
Engineered and launched a unified data-layer infrastructure across all online Nespresso markets, applying DevOps principles and a CI/CD pipeline.
Led the data and analytics stream of Nespresso’s e-commerce transformation, supporting its organisational integration within the Nestlé group.

Profile11 contributions

Across the career

Works across clinical-trial data strategy, TMF metadata, CTMS, eTMF, EDC integration, clinical time-series and regulated data ecosystems, partnering with Contract Research Organisations (CROs) to align clinical-trial data with CTMS, eTMF and EDC systems.
Applies ontology engineering, FAIR governance, knowledge graphs and structured metadata practices to improve scientific data interoperability.
Designs enterprise data architectures combining DAMA and FAIR governance, data engineering, data mesh, event-driven design, cloud platforms and secure multi-tenant design.
Works across AWS, Azure, GCP, Snowflake, BigQuery, Synapse, Kafka, Solace and other enterprise data platforms.
Designs secure, observable, governance-by-design data platforms supporting auditability, feature flags, monitoring, subscriptions, billing, analytics and cross-tenant operations.
Combines strategic data governance with hands-on architecture, pipeline design, integration, data modelling and platform implementation.
Specialises in taxonomy governance, ontology development, metadata standards, information architecture and institutional knowledge reuse.
Designs scientific data ecosystems combining semantic search, ontology integration, knowledge management and global biodiversity datasets.
Converts unstructured scientific or commercial information — menus, catalogues, images, PDFs — into structured operational data using computer vision, LLMs, extraction pipelines and governed data models.
Advises C-suite and senior leadership on data governance, AI, agentic AI operating models and workforce transformation, and mentors executive teams moving towards data- and AI-led organisations.
Long-standing advocate of FAIR principles and responsible AI, covering governance, risk and compliance (GRC), ethics, GDPR, the EU AI Act and FINMA requirements.

Skills8 contributions

Skills & applied knowledge

Scientific and laboratory systems, including LIMS SampleManager 2.0, PIMS and CDS Chromeleon 7.2.
Digital commerce, content management, web publishing, digital marketing, funnel analytics, marketing automation, lead generation, programmatic advertising, remarketing, data-management platforms, tag management, data layers, paid search and digital advertising.
Artificial intelligence, data mining, neural networks, reinforcement learning, CNNs, LSTMs, attention mechanisms, Bi-GRUs, data engineering and data federation.
Data management and governance with DAMA-DMBOK, FAIR principles, entity-relationship modelling, data warehouses, ETL, data virtualisation and data federation.
Data-science and engineering technologies: Tableau, SQL, AWS, Visual Studio Code, Eclipse, Python, PyTorch, Keras, Apache Spark, Kafka and Kafka Streams.
Data engineering and governance: Apache Spark, Apache Airflow, MySQL, Microsoft SQL Server, Supabase/PostgreSQL, Kafka, MariaDB, SQL, Power BI, Databricks, Hadoop and NiFi.
Multi-country sensor-data pipelines integrating field-station IoT devices with central HPC and cluster environments.
High-scale logical data modelling for UN and NGO organisations, including institutional entity-relationship modelling frameworks. Evidence ↗

All skills

Artificial intelligence

AI governance, risk & regulatory compliance 81 Machine learning, deep learning & MLOps 53 Data Strategy for AI 44 Generative AI & LLM solutions 43 Agentic AI & AI-native engineering 29

Architecture & data platforms

Solution & enterprise architecture 62 Data architecture, engineering & governance 54 Semantic engineering & knowledge management 50 Cloud & multi-tenant SaaS platforms 41

Leadership & business

Innovation & change management 42 Team leadership & talent development 31 Business value & financial management 29 Programme, project & vendor management 27 Executive advisory & pre-sales 19 Entrepreneurship & venture building 13

Product, marketing & communication

Digital marketing & customer analytics 27 Product & full-stack engineering 23 Communication & thought leadership 10