I'm Rob Blue, a Data Advocate.

I help companies build the data foundations that make AI trustworthy. Through hands-on engineering, fractional data leadership, and advisory, I fix the data problems that hold back automation.

DATA ADVOCACY DATA FUNDAMENTALS DATA QUALITY
Approach

Every engagement starts with four questions.

Before a dollar is spent or a line of code is written, the Core Four Gate determines whether the work should exist. It kills low-value initiatives early and identifies the foundational work that actually needs doing.

Gate 01

Is there a real problem with a real owner?

The forcing function against building for imagined needs.

Gate 02

Can a human do this with the data as-is?

The forcing function against premature automation.

Gate 03

Does the solution create more value than it displaces?

The forcing function against accidental scope explosion.

Gate 04

Can we define success AND failure?

The forcing function against unfalsifiable work.

Services

Data quality, data architecture, and agentic AI.

Juniper works with energy and industrial companies at every stage of data maturity, from initial assessment through production-grade intelligent systems.

Discovery & Assessment
Structured evaluation of data infrastructure, quality, governance, and AI-readiness. Delivers a prioritized roadmap grounded in the Core Four.
Data Foundation Engineering
Pipeline architecture, data quality frameworks, validation systems, governance implementation, and monitoring.
Agentic AI & Automation
Automated QC systems, confidence-tiered routing, LangGraph orchestration, and LLM-monitored workflows built on solid data foundations.
Fractional Data Leadership
Part-time embedded leadership as interim Head of Data or VP of Data Quality. Strategy, team-building, and governance from the inside.
Speaking & Education
Conference keynotes, workshops, and corporate training on data quality, agentic AI, and building data systems that work.
Background

10+ years at the intersection of data engineering and energy.

MS in Data Science from SMU. Experience spanning the full upstream data stack: EDR, directional drilling, anti-collision, data quality normalization, and automated QC systems. Currently building a proprietary data intelligence platform from scratch and researching data quality foundations for trustworthy AI.

Experience

  • BP
  • Halliburton
  • Baker Hughes
  • Corva
  • AI Driller

Technical Depth

  • Python, SQL, Databricks
  • LangGraph, Agentic Systems
  • React, REST APIs
  • ML Ensembles, LLM Integration
  • Data Quality Frameworks
Get in Touch

Let's start with the four questions.

If your data is the bottleneck holding back your AI ambitions, I'd like to help you figure out what actually needs building.

rob@data-advocate.com
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