Strategy and advisory
Business-aligned data and AI strategy with clear priorities and measurable outcomes.
- Executive advisory and roadmap design
- Platform modernization planning
- Risk, cost, and value alignment
Daniel Fernández
Data & AI Strategy to Execution
20+ years designing and delivering enterprise data and AI platforms. I help organizations build scalable, governed architectures that create measurable business outcomes - from strategy to operational delivery.
Scope
Vision to operations
Operating model
Solid execution model
Outcome
Measurable impact
20+
years in data & AI
40+
credentials
Microsoft
Data & AI Architect
Jump directly to:
About
Architecture that becomes results
My work combines enterprise-scale data architecture and AI platforms with direct execution. Currently a Data & AI Cloud Solution Architect at Microsoft, working with global organizations on data systems design and operation. The common thread is closing the gap between strategic intent and systems that actually work.
I am an active Microsoft Certified Trainer (MCT) and continue delivering technical training regularly.
Outside that, I run independent projects built on their own terms.
Capabilities
Core areas I cover end to end
From strategy and architecture to adoption, operations, and governance, these are the domains where I usually lead delivery, with measurable business impact.
Architecture and platform engineering
Scalable architectures for data platforms, analytics, and AI workloads in regulated environments.
- Cloud & hybrid data & AI platform architecture
- Reliability, performance, and security baselines
- Operational delivery standards
AI, analytics, and automation
Practical adoption of analytics and AI with production constraints and maintainable operating models.
- Applied AI and GenAI integration
- BI, decision intelligence, and observability
- Automation of repetitive operational flows
Governance and delivery leadership
Hands-on leadership for multi-team execution, governance, and capability growth.
- Cross functional technical leadership
- Data governance and compliance by design
- Team mentoring and delivery quality control
Key technical skills
Data Integration & ETL
Data Engineering
GenAI Integration
Business Intelligence & Analytics
Data Platforms & Cloud Architecture
Selected projects
Selected personal projects
DataManiacs.ai
Data and AIDataManiacs.ai is an independent site focused on practical data, BI, and applied AI execution. Built for decision quality, technical clarity, and real operational value.
ProtoConsent
Open sourceProtoConsent is an open consent management framework for the modern web. Independent project in early development, focused on privacy-first consent flows and practical compliance.
WikiLink
Archived projectAn earlier knowledge-graph exploration project built around Neo4j, Wikipedia datasets, and interactive graph navigation.
Certifications
Credentials and accreditations
40+ credentials across data, AI, cloud, and analytics.
Active Microsoft Certified Trainer (MCT) in {{year}}, currently delivering technical courses.
Recent and notable
Microsoft CSA GD POD Lead
Microsoft AI Navigator [Azure]
Microsoft AI Navigator [Fabric]
Azure SQL Technical Insider
Microsoft Certified Trainer 2024 - {{year}}
Microsoft Certified: Azure AI Fundamentals
MCSE: Data Management and Analytics
OpenHack: AI-Powered Knowledge Mining
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Administrator Associate
Microsoft Certified: Azure Database Administrator Associate
Microsoft Certified: Power BI Data Analyst Associate
Microsoft Certified Trainer 2024 - {{year}}
All credentials
Focus areas
Core execution domains
Contact
Let's Talk
If there is a real fit to collaborate on data, analytics, or applied AI, send me a note. I will reply with a clear assessment and concrete next steps.