From raw data pipelines to production-grade analytics and data strategy — I help teams build data functions that are reliable, scalable, and genuinely useful to the business.
Get in touchWith over a decade working across every discipline in data, I bring a perspective that most specialists can't — I can build it, analyse it, and explain why it matters to the business.
My background is a blend of mathematics and computer engineering, with graduate degrees from a leading technical university. That combination gave me a deep quantitative foundation and a bias for building things that actually run in production.
Over the years I have held roles across the full breadth of data work: data analyst, data scientist, data engineer, software engineer, and tech lead. I have operated as an individual contributor driving hands-on delivery, and as a leader setting strategy, growing teams, and managing stakeholders at the executive level.
My career has spanned large enterprises, a mobility startup, and a digital health scale-up that I joined early and rode through hypergrowth (10× in three months), an IPO, and an eventual acquisition. Each phase taught me a different set of lessons about what it takes to make data valuable — and what kills it.
What makes me different is that I don't have a specialisation silo. Most data professionals are strong on either the engineering or the analytics side. I am fluent in both, which means I can design systems that are architecturally sound and analytically meaningful at the same time — and I can speak the language of every stakeholder in the room.
From source system ingestion and pipeline engineering to data modelling, analytics, experimentation, and executive reporting — I have done all of it hands-on and led teams doing the same.
I have built data functions from zero, scaled them through rapid growth, and matured them into trusted, org-wide platforms. I know where the traps are at each phase — and how to avoid them.
I can talk architecture with your engineers and ROI with your C-suite in the same day. That rare combination prevents the misalignment that kills most data initiatives.
MSc & BSc in Mathematics (finance / insurance track) and a BSc in Computer Engineering. Rigorous by training, pragmatic by experience.
I engage as a hands-on consultant — embedded in your problem, not just advising from a distance. The service offering below is being actively built out.
Assess where your data function stands today, identify the biggest leverage points, and define a realistic roadmap to get to the next stage of maturity — whether you're just starting out or trying to scale.
Design and build reliable data pipelines, warehouse architecture, and data platforms. From ingestion to transformation to delivery — using dbt, Airflow, Snowflake, and modern open-source tooling.
Turn raw data into decision-ready insights. Define the metrics that matter, build centralized reporting cockpits, and establish a single source of truth your stakeholders can trust.
Predictive modelling, A/B testing frameworks, and experimentation infrastructure. More details coming soon.
Data contracts, observability, masking, and quality frameworks that prevent trust from eroding at scale. More details coming soon.
Hiring, structuring, and growing data teams. Coaching individual contributors and helping data leaders level up. More details coming soon.
Whether you have a well-defined project or just a nagging data problem with no clear solution yet — I'm happy to have a no-commitment conversation to see if I can help.
Send me a message