About Me
BI and Analytics Engineer specialising in semantic modelling, data architecture, and AI-enabled data systems.
Updated: April 2026
Focus areas
Skills stack
Data platforms
- MotherDuck
- DuckDB
- SQL
- Warehouse analytics workflows
Transformation and ingestion
- dbt
- dlt
- Data transformation
- API integration
- ETL pipelines
Semantic modelling
- Star schema
- Galaxy schema
- Dimensional modelling
- Governed metrics
- Semantic layer design
BI and analytics
- Power BI
- DAX
- Semantic model design
- Reporting layer design
Engineering and delivery
- Python
- GitHub
- Azure DevOps
- Astro
- GitHub Pages
Professional profile
BI and Analytics Engineer specialising in semantic modelling, data architecture, and AI-enabled data systems. Designs structured data layers and scalable reporting frameworks, transforming raw data into governed, reusable models for human and programmatic access. Applies software engineering principles to analytics environments to ensure consistency, scalability, and maintainability.
Contact and location
- Email:
timothy.amison+axiomatic-bi@gmail.com - LinkedIn: linkedin.com/in/timothy-amison
- Location: Macclesfield, UK
Projects
Axiomatic BI Showcase (2026)
- Designed and implemented a public technical showcase to demonstrate evidence-backed data engineering delivery patterns.
- Built case study structure around reproducibility, model decisions, data quality controls, and trade-off transparency.
- Implemented static Astro delivery for GitHub Pages with reusable page layouts and low-JavaScript design.
Fake Store reference build
- Demonstrated a repeatable ingestion-to-reporting path with clear separation between runtime pipeline logic and BI outputs.
- Implemented structured modelling and governed reporting patterns documented with architecture, evidence links, and reproducibility commands.
- Published implementation artefacts across engine code, dbt model contracts, and BI outputs to support verifiable claims.
Work experience
Tugger Ltd - BI Product Developer (Aug 2025 - Present)
- Architected centralised semantic layers (“Golden Models”), improving consistency, maintainability, and report performance across datasets.
- Designed and prototyped an AI-enabled semantic query layer, exposing governed metrics via API-driven SQL generation for consistent, accurate querying.
- Engineered structured transformation layers (DuckDB + SQL), standardising raw data into scalable fact/dimension models (star/galaxy schema).
- Owned end-to-end BI and data solution delivery in a 12-person company, supporting multiple client projects end-to-end.
- Delivered technical webinars on advanced data modelling and Power BI architecture, improving client capability and adoption.
- Designed and prototyped a Python Dash-based reporting layer, enabling dynamic, programmatic access to structured data beyond traditional BI tools.
Adelphi Real World - Data Processing Analyst (Sep 2023 - Aug 2025)
- Standardised data processing and validation workflows, improving consistency and data quality.
- Built end-to-end data pipelines, integrating APIs, SQL databases, and reporting layers to deliver actionable insights.
- Development Lead for an 8-person team, coordinating technical delivery, improving processes, and implementing Agile workflows.
- Led sprint reviews, Python training, and internal knowledge transfer to improve team capability.
- Automated data ingestion and processing from SFTP using Python/VBS, including validation, anomaly detection, and quality control.
Education
University of Birmingham
BSc Liberal Arts and Sciences (Physics) - First-class Honours (Sep 2018 - Jul 2023)
- Independent research project combining data collection, stakeholder interaction, and interdisciplinary analysis across social sciences and STEM.
- Physics major with core physics and mathematics modules.
Hebrew University of Jerusalem (Israel)
Year Abroad (Statistics, Hebrew, Philosophy) (Aug 2021 - Aug 2022)
Department for Education
Future Teaching Scholars (Physics/Maths Teacher Training) (Sep 2019 - Jul 2023)
Additional notes
- Full role timeline and formatting are available in the downloadable PDF CV.