About
Alwyn D'Souza
Data & AI Engineering Leader
I'm a data engineering leader with 20+ years building production-grade data platforms for enterprise teams. I specialize in the modern data stack — dbt, Databricks, DataOps, and increasingly, AI-powered systems.
My work sits at the intersection of data engineering and AI — from building MCP servers that give AI agents governed access to data platforms, to implementing semantic layers that make metrics first-class citizens.
I write extensively on these topics and build open-source reference architectures that teams can actually use in production.
Core Focus Areas
Established expertise
Lakehouse Architecture
Modern cloud-native analytics architectures using Databricks, Delta Lake, and scalable data platforms.
DataOps & Platform Engineering
Automated CI/CD, testing, observability, governance, and reliable data engineering workflows.
AI Agent Systems
Agentic workflows, orchestration frameworks, MCP tooling, and AI-enabled engineering systems.
Enterprise Data Platforms
Scalable enterprise modernization initiatives focused on cloud analytics and platform engineering.
Currently Exploring
Future-facing innovation
Technical Expertise
Data Platforms
Transformation
AI & Automation
Orchestration
Streaming
Languages
DevOps
Recent Writing
All articlesAltimate Code and the Rise of the AI Engineering Harness
Jun 16, 2026 · 1 min read
The Hidden Dependency Behind Reliable AI Agents
Jun 12, 2026 · 1 min read
dbt wizard cli: AI agent built for analytics engineering
Jun 7, 2026 · 1 min read
dbt Wizard CLI: An AI Agent Built for Analytics Engineering
Jun 7, 2026 · 1 min read
AI Cost Observability: Two Open Source Tools Every AI Developer Should Know
Jun 6, 2026 · 1 min read