Connecting Care and Code

Healthcare Expertise. Modern Data Engineering.

One consultant who understands both.

Sandra Dunford

Sandra Dunford

BSc • MSc • PGDip • PGCert

Founder Principal Consultant

I help transform complex healthcare data into trusted, actionable insight by combining frontline clinical experience with modern analytics engineering.

From understanding patient pathways and service delivery to designing robust data solutions, I bridge the gap between healthcare expertise and technical implementation.

Book a Free Consultation

Connecting healthcare expertise with modern data engineering.

SQL Python Snowflake dbt Power BI GitHub
Clinical Expertise

Clinical
Expertise

Clinical Leadership

Clinical
Leadership

Academic Research

Academic
Research

Quality Improvement

Quality
Improvement

Quality Assurance

Quality
Assurance

Analytics Engineering

Analytics
Engineering

Why This Matters

Healthcare data isn't just data.

Healthcare organisations generate vast amounts of data every day. Every patient interaction, referral, assessment, treatment and outcome creates another piece of information. The challenge isn't having data—it's understanding what to do with it.

The real value lies in understanding the entire data journey. How data is collected by clinicians, stored, transformed and connected by data engineers, determines whether it becomes a trusted source of insight or simply another disconnected dataset. When those connections are made effectively, patterns emerge, trends become visible and meaningful analysis becomes possible.

My background in frontline healthcare, clinical leadership, research and modern data engineering allows me to bridge that gap. I understand the clinical context behind the data as well as the technical processes required to prepare it for analysis. This means I can help organisations reduce complexity, make sense of their information and build data solutions that support confident, evidence-based decision making.

The Binary Findings Data Journey

1

Healthcare Data

2

Understand the Data Journey

3

Connect the Data

4

Reveal the Insight

5

Support Better Decisions

6

Improve Outcomes

Career Journey

Every stage of my career has contributed to the way I approach healthcare data today.

Community Nursing

Community Nursing

Understanding healthcare begins with patient care.

Developed a deep understanding of patients, clinical care and pathways, multidisciplinary working and the realities of delivering frontline healthcare.

Clinical Leadership

Clinical Leadership

Leading teams and improving services.

Led a division of clinical teams and supported service performance and improvement through leadership, governance and operational management.

Academic Research

Academic Research

Turning evidence into knowledge.

Developed advanced research, evaluation and academic writing skills to support evidence-based decision making, and understanding impact and outcomes.

Quality Improvement

Quality Improvement

Measuring meaningful change.

Used data and evaluation to identify opportunities for improvement in healthcare delivery, processes, systems, and monitoring healthcare outcomes.

Quality Assurance

Quality Assurance

Building confidence through quality.

Supported governance, assurance and compliance through robust evaluation and quality monitoring.

Analytics Engineering

Analytics Engineering

Modern healthcare data engineering.

Designing modern data platforms using SQL, Python, Snowflake and dbt to create trusted analytical datasets.

Binary Findings

Binary Findings

Bringing everything together.

Combining clinical, healthcare, and academic experience with modern data engineering to help organisations understand complex health data and turn it into meaningful insight.

Let's Start a Conversation

If you're looking to speak with someone who understands both healthcare and modern data engineering—and can bridge the gap between them—I'd love to hear from you.