Senior engineer with 7+ years building data platforms that drive measurable business outcomes, with experience across data engineering, analytics, data science, machine learning, MLOps, and DevOps. Proven track record delivering scalable solutions using Python, dbt, Airflow, and SQL across AWS, GCP, and Snowflake environments.
Experience
Four-month contract to drive AI integration and data infrastructure modernisation for a VC-backed B2B SaaS platform.
- Developed and deployed AI-powered features using Snowflake Cortex, delivering actionable insights and summaries to enterprise customers
- Migrated production Snowflake pipeline to dbt, refactoring 26 procedural SQL scripts into modular, tested data models with incremental materialization
- Architected blue-green testing strategy using Snowflake zero-copy clones, enabling safe testing of pipeline changes in production-like environments without data duplication costs
- Led consolidation of parallel data pipelines, reducing technical debt and streamlining the data platform architecture
End-to-end marketing data infrastructure for a fast-scaling D2C ecommerce brand.
- Designed and deployed a cloud-native data stack using Snowflake on AWS with dbt and Airflow
- Tuned Snowflake warehouse sizing and query patterns to reduce compute costs and ensure low latency
- Built custom pipelines to ingest and unify data from Meta Ads, Google Ads, TikTok Ads, influencer reports, and social media mentions
Led design, implementation, and optimisation of data platforms and software infrastructure powering core business operations.
- Built and maintained high-performance ETL/ELT pipelines using Python, Spark, Airflow, dbt, and SQL on AWS (Lambda, EC2, ECS, Redshift, S3, Glue)
- Boosted email-driven job applications by 197% via a custom job recommendation service
- Improved front-end query speed by 4× through backend system optimisation
- Reduced pipeline failures and cut certain runtimes by 800% through cache layers and preventive architecture
- Led data science initiative to classify jobs into a taxonomy using clustering on skill-based embeddings
- Automated data provisioning and deployment pipelines, introducing modern CI/CD practices
Owned GCP-based pipeline infrastructure and collaborated cross-functionally to deliver insights and automation.
- Partnered with marketing to design A/B tests optimizing outbound email targeting, boosting seller LTV by 86% using machine learning
- Refactored legacy codebase, reducing complexity by 37% following TDD and BDD principles
- Developed cohort-based performance reporting in BigQuery supporting monthly CPL and CAC optimisation
Designed and deployed predictive services and pricing tools on AWS supporting business decision-making.
- Doubled LTV:CAC ratio to 6× through probabilistic attribution models (Markov chain, multi-touch) to optimise marketing investment
- Devised new pricing formula enabling improved underwriting contract terms, including 88% stop-loss cost reduction
- Developed AWS-based ML service to predict user churn and shape retention strategy
- Built analytics foundation connecting data sources to a React-based user-facing reporting platform
- Automated manual processes (management reporting, pricing calculators), saving hundreds of hours across the business
Skills
Python (expert) — API development, scripting (bash, shell), testing (TDD, BDD, pytest, unittest, behave)
AWS (expert) — Lambda, ECS, EC2, CloudFormation, Redshift, S3, SageMaker, Glue
Data Engineering — Airflow, dbt, SQL (Postgres, MySQL), Git, Terraform, ML pipelines, Docker
Other — GCP, JavaScript, React, CI/CD, IaC, automation, monitoring, Grafana
Education
- 2026AWS Certified Data Engineer – Associate (in progress)
- 2023–4Graduate Certificate in Statistics for Data Science, Distinction (86%) — Birkbeck
- 2023AWS Certified Cloud Practitioner
- 2021Graduate Certificate in Mathematics (two modules), Distinction (79%) — Birkbeck
- 2015–17CFA Levels I–III — each passed at first attempt
- 2008–13MA (Oxon) in Classics, 2:1 — Balliol College, Oxford