Senior Data Engineer · London

Experienced in academia, low-level software engineering, and data science environments.

Proficient in DevOps and DataOps.

Passionate about understanding programming language strengths and weaknesses.

Programming languages

C++GoPythonRustSQLTypeScript

Platforms

AirflowSnowflakeAWSAzure

Exploring

OdinSwiftZig

Experience

Advertising Standards Authority

May 2023 - Present

Led a team of data engineers across day-to-day delivery, code review, hiring, and mentoring.
Built high-volume ingestion pipelines for APIs and web scraping workflows across platforms including Meta, Google, and TikTok.
Overhauled a hybrid Azure and AWS data platform with Snowflake and Airflow, reducing cost per data item by 30% while supporting more than 100x data growth.

Queen Mary University of London

Sep 2020 - Apr 2023

Developed the near detector upstream DAQ for the DUNE experiment at Fermilab using C++, Python, ZeroMQ, and custom TCP socket and buffer handling.
Studied the impact of DUNE PRISM on statistical and systematic uncertainties using Tikhonov regularisation with SciPy and NumPy.
Demonstrated Statistical Data Analysis, Elemetnary Particle Physics, and Practical Machine Learning modules.

Rewire Online

May 2021 - Dec 2022

Built Python data collection pipelines around Twitter and Reddit APIs, deployed on AWS EC2.
Handled data analysis, cleaning, storage, and automation testing with pandas, PostgreSQL, S3, Selenium, and custom tooling.
Integrated the Rewire API into a Python Discord bot that was distributed publicly.

Universal interactive system package search for the terminal, written in Rust and published on crates.io.

RustCLITerminal UX

A pybind11 wrapper around whisper.cpp for CPU-parallel transcription workloads in cloud environments.

PythonC++FFMPEG

A short essay on where AI coding tools help, where they disappoint, and how that changes the way engineering work should be judged.