Skip to main content Skip to projects Skip to contact
Daniel Fernández data & ai strategy to execution

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

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 areas where I usually lead delivery, with measurable business impact.

Strategy and advisory

I turn data and AI strategy into business decisions with clear priorities and measurable outcomes.

  • Executive advisory that turns vision into a roadmap
  • Platform modernization plans with realistic phases
  • Decisions balanced across risk, cost, and value

Architecture and platform engineering

I design scalable architectures for data, analytics, and AI that work in regulated environments.

  • Cloud and hybrid architecture for data and AI platforms
  • Solid reliability, performance, and security baselines
  • Operational standards that keep delivery smooth

AI, analytics, and automation

I bring analytics and AI into production with real constraints and an operating model that stays maintainable.

  • Applied AI and GenAI integration for concrete use cases
  • BI, decision intelligence, and observability working together
  • Automation for repetitive operational flows

Governance and delivery leadership

I lead multi-team delivery hands-on, with technical governance and real capability growth.

  • Cross functional technical leadership
  • Data governance and compliance by design
  • Team mentoring and delivery quality oversight

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 AI

DataManiacs.ai is an independent site focused on practical data, BI, and applied AI execution. Built for decision quality, technical clarity, and real operational value.

Applied AI Data platforms Decision quality
Visit DataManiacs.ai

ProtoConsent

Open source

ProtoConsent is an open consent management framework for the modern web. Independent project in early development, focused on privacy-first consent flows and practical compliance.

Alpha Open source Purpose-based content User-side
Visit ProtoConsent

WikiLink

Archived project

An earlier knowledge-graph exploration project built around Neo4j, Wikipedia datasets, and interactive graph navigation.

Graph navigation Neo4j Wikipedia datasets
View WikiLink on GitHub

Focus areas

Core execution domains

Contact

Let's Talk

If you want to get in touch about data, analytics, or applied AI, send me a note. I will reply personally when I can.

Daniel Fernández. Things I've built and actually work.