Technical Expertise
Deep expertise across data science, engineering, and cloud architecture
Cloud & Data Platforms
Azure Architecture
Expert-level design of secure, scalable cloud solutions (VNet, Compute, Storage, Governance). Azure Solutions Architect Expert certified.
Azure Databricks
Enterprise lakehouse architecture, Delta Lake, Unity Catalog, advanced PySpark.
Azure Synapse Analytics
Dedicated SQL pools, Spark pools, data integration, and warehousing.
Azure Data Factory
Complex pipeline orchestration, data flows, and integration patterns.
Infrastructure as Code
ARM Templates, Bicep, Terraform for automated provisioning.
Data Engineering & MLOps
Apache Spark / PySpark
Large-scale distributed data processing, optimization, and Delta Lake.
ETL/ELT Design
Robust pipeline architecture, dimensional modeling, data warehousing patterns.
MLOps & CI/CD
End-to-end ML lifecycle with Azure DevOps, GitHub Actions, model monitoring (MLflow).
Data Governance
Microsoft Purview, Unity Catalog, metadata management, lineage tracking.
SQL & NoSQL
Advanced SQL Server, Cosmos DB, query optimization.
Data Science & AI
Generative AI / LLMs
Azure OpenAI, prompt engineering, RAG architectures, responsible AI.
Machine Learning
Supervised/unsupervised learning, feature engineering, model evaluation, deep learning.
Azure AI Services
Vision, Speech, Language services, Azure AI Search. Azure AI Engineer certified.
Python for DS/ML
Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, statistical modeling.
Business Intelligence
Power BI
Advanced DAX, data modeling, Power Query, interactive dashboards, enterprise deployment.
Data Visualization
Best practices for storytelling, dashboard design, stakeholder communication.
Requirements Analysis
Translating business needs into technical BI specifications.
Leadership & Business
Technical Leadership
Team building, mentoring, Agile/Scrum, project management.
Stakeholder Management
Executive presentations, business case development, strategic communication.
Architecture & Strategy
Solution design, technical roadmaps, ROI analysis, risk assessment.
Technology Stack
Comprehensive toolkit for modern data engineering
Azure Ecosystem
Data Engineering
ML & AI
BI & Visualization
DevOps & Tools
Programming
Professional Certifications
Microsoft Azure certified across solution architecture, data, and AI
Staying at the Edge
Data and AI move fast. I keep my teams - and myself - current by putting emerging techniques into real production systems, not just proofs of concept.
Generative AI & LLMs
Advanced prompt engineering, RAG architectures, and responsible AI
Cloud Architecture
Multi-cloud strategies and infrastructure optimization
Data Governance
Enterprise security, compliance, and data mesh architectures
Where I'm Investing Now
Production GenAI & RAG
Taking Azure OpenAI and retrieval systems from pilot into governed, monitored production.
MLOps at scale
Standardising the ML lifecycle - CI/CD, monitoring, and responsible deployment - across teams.
Data mesh & federated governance
Scaling ownership and governance across domains without recreating silos.
Depth across the full data & AI stack
From architecture to production AI. If that is the kind of capability you are building, let's talk.