Building pipelines
that power decisions
Data Engineer building ingestion, transformation, and analytics-ready datasets on Microsoft Fabric and Azure — currently at Grant Thornton UK LLP.
Terminal transcript: whoami. Abraham Wilson — Data Engineer. Building pipelines that power decisions. Status current: Grant Thornton UK LLP, Microsoft Fabric and Azure. Interests include Fabric, lakehouses, Python, semantic models, and pipelines.
Technical arsenal
Focused on the Microsoft data stack, with a software engineering foundation.
Languages
BI & Analytics
Data Engineering
DevOps & Tooling
Professional journey
Six years across data engineering, product development, and audit operations.
Data Engineer (Data Platforms & Fabric)
Oct 2025 – Present · UK
GRANT THORNTON UK LLP
- Build and operate ingestion and transformation pipelines on Azure-based platforms for analytics-ready datasets.
- Develop SQL and Python transformation logic curating structured datasets and semantic outputs for reporting.
- Data discovery, cataloguing, and documentation improving transparency and reuse across teams.
- Partner with business stakeholders to deliver practical, self-service reporting.
Developer — Products Hub
Oct 2023 – Oct 2025 · UK
GRANT THORNTON UK LLP
- Delivered production features in structured Azure DevOps environments with reliable, Agile releases.
- Translated requirements from non-technical stakeholders into usable technical solutions.
Audit Administrator
Jul 2022 – Oct 2023 · UK
GRANT THORNTON UK LLP
- Delivered under strict SLAs; primary liaison between audit teams and financial responders.
Programmer Analyst
Jun 2019 – Jul 2021 · India
COGNIZANT
- Built a direct-to-consumer web app (J2EE) supporting a 21% Q4 sales increase.
- Improved performance and UX with MVC, JDBC, RESTful services; CI/CD with Git/SVN.
- Proof-of-concept cloud solutions on Azure and GCP.
Education
Qualifications in data analytics and computer science.
MSc Data Analytics
2023
Queen's University Belfast
BTech Computer Science
2019
Rajagiri School of Engineering & Technology
Featured work
Applied data projects across energy, marketing, and audio analytics.
EV Customer Segmentation
ENERGIA GROUP
K-Means & PAM clustering on EV consumption data, producing actionable customer segments for targeted marketing.
- Python
- scikit-learn
- Clustering
Energy Trading Optimisation
ENERGIA GROUP
Market-optimised electricity trading strategy using DAM, demand, wind, and pricing signals — profitability improved under a €50k daily loss cap.
- Python
- Optimisation
- Time Series
Bird Song Recognition
DELOITTE
Data mining and statistical classification of bird song audio in R.
- R
- Classification
- Signal Analysis
Let's connect
The fastest way to reach me is email or LinkedIn.
