👤 Profile
Experienced Data Engineer Consultant with a proven track record of designing and optimising scalable data platforms. I specialise in end-to-end solutions, from data ingestion and transformation to presentation, with a focus on efficiency and future readiness.
I’ve worked on key projects, including rescuing stalled cloud migrations and leading greenfield data platform development, ensuring robust, scalable, and cost-effective solutions.
🛠️ Skills
- Cloud Platforms: GCP, AWS, Azure, Snowflake, Databricks
- Programming: Python, SQL, JavaScript
- Orchestration: Airflow
- Transformation: dbt
- Data Lake: S3, Glue Data Catalog, Apache Iceberg
- Databases: PostgreSQL, MySQL, MongoDB, SQL Server
- Data Warehouses: BigQuery, Redshift, Snowflake
- Infrastructure as Code: Terraform, Pulumi
- Data Visualisation: Tableau, QuickSight, GoodData, Power BI
🎓 Education
BSc (Hons) Civil Engineering
Anglia Ruskin University, 2006 - 2009
📜 Certifications
- Building Batch Data Pipelines on GCP, Coursera (Sept 2021)
- Modernizing Data Lakes and Warehouses with GCP, Coursera (Aug 2021)
- Advanced React, Bostype Inc. (Jul 2021)
- React for Beginners, Bostype Inc. (Jan 2021)
- Master Gatsby, Bostype Inc. (Nov 2020)
- Google Cloud Big Data and ML Fundamentals, Coursera (Nov 2018)
- Relational Database Support for Data Warehouses, Coursera (Jul 2017)
- Data Warehouse Concepts and Integration, Coursera (Jan 2017)
- Database Management Essentials, Coursera (Nov 2016)
- Web Development Bootcamp, Lighthouse Labs Vancouver (Sept 2015)
💼 Experience
Data Engineering Consultant - Patchwork Health
Dec 2022 - Present
- Documented the existing infrastructure and identified improvement opportunities.
- Collaborated with stakeholders to gather technical and business requirements.
- Conducted vendor and tool evaluation to support data science goals.
- Redesigned and implemented a robust data model and platform architecture.
Technical Skills: AWS, dbt, Redshift, Airflow, Docker
Data Engineering Consultant - Dr. Martens
Jan 2024 - Jun 2024
- Performed in-depth discovery to understand the existing setup and challenges.
- Optimised the technology stack for scalability and efficiency.
- Streamlined and consolidated data pipelines to simplify operations.
- Ensured client alignment and clear communication throughout the project.
Technical Skills: Azure, Airflow, Terraform, Python, SQL
Senior Data Engineer - HealthHero
Jan 2022 - Oct 2022
- Implemented IaC and automated deployment pipelines for scalable infrastructure.
- Designed and deployed containerised pipelines to integrate datasets.
- Developed a data lake and warehouse for efficient large-scale data management.
- Optimised resource usage and costs with orchestration and autoscaling.
Technical Skills: AWS, Airflow, dbt, Docker, SQL
Senior Data Engineer - MADE.COM
Jan 2021 - Jan 2022
- Oversaw engineering code for quality and maintainability.
- Designed and implemented scalable engineering solutions.
- Collaborated with stakeholders to align engineering efforts with business goals.
Technical Skills: GCP, Docker, Kubernetes, BigQuery, Python, SQL
Data Engineer - MADE.COM
Jun 2018 - Jan 2021
- Built and maintained robust ETL pipelines for data ingestion and transformation.
- Optimised data models to enhance query performance and reduce processing times.
- Managed workflows and task automation using orchestration tools to improve efficiency.
- Implemented automated testing and deployment processes to ensure reliability and consistency.
- Developed custom tools and scripts to address unique business requirements.
Technical Skills: GCP, Docker, Kubernetes, BigQuery, Python, SQL
Data Developer - King's Health Partners
Apr 2016 - Jun 2018
- Developed interactive data visualisations for research and publications.
- Extracted and transformed data for clinical research and service design.
- Created SQL triggers, functions, and stored procedures for data processing.
Technical Skills: SQL, Tableau, R