Amelia Brooks

Data Systems Engineer

Expertise

SQL / NoSQL

ETL Pipelines

Data Analytics

Python

Data Warehousing

Expertise

SQL / NoSQL

ETL Pipelines

Data Analytics

Python

Data Warehousing

Connect with

Amelia Brooks

About

Amelia Brooks is a Data Systems Engineer at Source, where she designs and maintains the data infrastructure that powers the company’s intelligent automation solutions. Her work ensures that every system Source builds — from AI-driven workflows to analytics platforms — operates on a foundation of precise, reliable, and well-orchestrated data.

Before joining Source, Amelia worked at a fast-growing fintech company in London, where she architected real-time data pipelines supporting millions of daily transactions. Her efforts to improve data scalability and consistency enabled the team to shift from manual reporting to a fully automated data ecosystem, cutting processing time by over 70%.

At Source, Amelia bridges the gap between engineering and analytics — developing ETL processes, modeling data for automation insights, and optimizing performance across cloud environments. She works closely with AI engineers and architects to ensure that automation isn’t just efficient, but also data-intelligent.

Amelia holds a Bachelor’s degree in Computer Science from Imperial College London and is certified in AWS Data Analytics and Google Cloud Data Engineering.

Outside of work, she’s a passionate runner, an enthusiast of creative data visualization, and a mentor for women pursuing technical careers in the UK tech industry.

Get in touch.

Whether you have questions or just want to explore what’s possible, we’re here to help.

Get in touch.

Whether you have questions or just want to explore what’s possible, we’re here to help.

Get in touch.

Whether you have questions or just want to explore what’s possible, we’re here to help.

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