About Henry
I'm a senior data engineer with a strong track record of designing and optimizing data infrastructure to unlock business value. With deep expertise in Python, SQL, Airflow, and AWS, I’ve led impactful projects—from building ML-powered job classification systems to boosting CRM engagement by 197% and cutting pipeline runtimes by 800%. I thrive in cross-functional environments, bringing analytical rigor, clean engineering practices, and a focus on outcomes. My experience spans startups to established platforms, and I’m passionate about solving complex data challenges that drive real results.
English
Native or bilingual
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- eFinancialCareersSenior Data EngineerAugust 2022 - Today (3 years and 10 months)London, UKHired to lead the data engineering efforts underpinning the transformation of the company into a data-first business, owning pipelines and leveraging proprietary data for ML. In this role, I:¬ Design, build and maintain business-critical data infrastructure including data / ETL / ELTpipelines, primarily using python, airflow, dbt and AWS services¬ Lead data science efforts within specific projects, e.g. current initiative to classify jobs into a taxonomy derived from clustering analysis on skill-based representations designed to support richer analytics, enable more structured reporting, and deepen understanding of the supply-demand dynamics in our marketplace¬ Promote and enable the cross-functional interoperation and integration of data assets andcapabilities within the businessKey achievements:¬ Design and implementation of a service supplying the CRM with job recommendations thatled to a 197% increase in job applications from the email channel¬ Optimisation of key front-page data queries, resulting in a 4x load speed improvement¬ Successful migration of all web analytics from UA to GA4¬ Improved runtime of key outbound marketing process by 800% through cache implementation
- Self-EmployedFreelance Data ScientistAugust 2017 - Today (8 years and 10 months)London, UK
- Bark.comInsight & Analytics ManagerMay 2021 - August 2022 (1 year and 3 months)London, UKAnalytics Engineer at Bark, the UK's largest & fastest growing services marketplace, helping people find the right professional for their project in over 1,000 unique categories. Bark operates in the UK, US, India, Ireland, Canada, South Africa, Australia and Singapore and is already profitable on its mission to build the Amazon of services. Key achievements and responsibilities:- Build and maintain data pipelines & business-critical ETL processes- Reduced line count in primary data pipeline by 37% through refactoring legacy code- Conduct A/B experiments and hypothesis tests in support of product development efforts- Designed and executed A/B test of gradient boosting classifier to predict outbound sales conversion vs. legacy manual selection process which resulted in an 86% increase in seller LTV- Own performance reporting and cross-functional data provision in support of strategic decision-making- Span insight and data science teams to promote interoperation and integration of data science assets- Work closely with marketing team to improve CRM processes, deepen customer understanding and optimise content strategy
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Education
- Master of ArtsOxford University2013MA (Oxon), Literae Humaniores
- Graduate Certificate, MathematicsBirkbeck, University of London2021Graduate Certificate, Mathematics