Consulting Services
Years of hands-on data engineering experience — available to help your team tackle the challenges that matter most in the age of AI.
Data Architecture Review
Independent review of your current data platform — pipelines, storage, access patterns, and how well it positions you for AI and analytics workloads. Practical recommendations you can act on, not a vendor pitch.
Governance & Metadata Strategy
Building or fixing a data catalog? Defining data ownership and stewardship? I help teams establish governance frameworks that actually work — including metadata management, lineage, and data dictionaries.
AI & Gen AI Integration
Practical guidance on integrating gen AI into your data workflows: automated documentation, agentic pipelines, responsible AI practices, and grounding your data for LLM use cases.
Data Quality Assessment
Defining quality standards, implementing checks, and setting up monitoring that keeps your pipelines trustworthy. Includes reference data management and master data alignment.
Team & Career Coaching
1-on-1 sessions for data engineers navigating the AI transition. Resume reviews, portfolio feedback (yes, I'll look at your GitHub), and honest career advice from someone who's been in the trenches.
Security & Compliance Review
Data access controls, classification frameworks, GDPR/CCPA considerations, and IAM alignment for cloud data platforms — especially GCP.
How it works
- Send me a brief description of what you're working on via the contact form.
- I'll reply within 1-2 business days to discuss scope and availability.
- We agree on an engagement format (one-time review, ongoing retainer, or ad-hoc hours).