Description

I am an experienced Data Engineer specialising in building scalable and reliable data pipelines. I am capable of transforming raw data into structured, usable assets for analytics and business use. With a strong foundation in Python, SQL and ETL workflows, I help organisations streamline their data architecture and unlock value from their data.

My core expertise includes:

Developing and maintaining ETL/ELT data pipelines
Designing data ingestion and transformation solutions
Working with relational and NoSQL databases
Automating data workflows with Python and orchestration tools
Collaborating with analytics teams to support reporting and insights

I have successfully delivered projects in data integration, and performance optimisation, whilst working effectively with distributed teams and cross-functional stakeholders. I focus on high-quality, efficient, and maintainable solutions that support both immediate business needs and long-term growth.

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Basic

Workplace preferences

Can work on-site

Wigan (up to 40km)

Alfred H. Knight
Python Developer
RAW MATERIALS INDUSTRY
April 2024 - February 2026 (1 year and 10 months)
Liverpool, UK
• Led the development of a tool to automate daily tasks, using LLMs and Python. Reduced work within my team by 75%
• Designed and deployed scalable Python pipelines using Google's APIs to ingest 100,000s of records from operations across 10 countries, reducing manual processing across two teams by 90%.
• Created an OCR-based ML pipeline for image recognition, significantly improving data accuracy across reporting.
• Provided technical consultation for an EU-funded project on using ML for material traceability
Python Data integration (ETL, ELT and data warehousing) Scripting Automation External API integration Data Cleaning and Preprocessing
Leonardo
Systems Engineer
DEFENSE AND MILITARY
August 2021 - November 2021 (3 months)
Edinburgh, UK
• Applied Computer vision ML models in MATLAB to classify 1000s of radar images per second.
• Designed and implemented a pipeline to clean and format Gigabytes of data.
• Researched the current state of the defence industry to create novel-prototypes for data processing, within 3-months.
• Worked as part of a team of 7 to explore new ways to automate the processing of radar data.
Matlab Computer Vision / Image Processing Data Cleaning and Preprocessing Model Optimization Machine learning
Lancaster University
Science Communicator
EDUCATION AND E-LEARNING
October 2019 - March 2024 (4 years and 5 months)
United Kingdom
• Created and carried out activities to teach advanced science topics to diverse audiences. Events included primary and high school visits, science festivals and planetarium events.
• Led a team of undergraduates, at over 30 events per year, across the Northwest of England. I have personally taught approximately 25,000 people to date.
Communication event manager Team management