Gabriel
Oduor
Fabric Data Engineer specialising in ETL/ELT Pipelines, Data Warehousing and Data Quality
Building reliable, scalable data systems with Python, SQL, Spark, and Microsoft Fabric. 3x Azure-Certified.
Data Engineer
AI & Data Science
Fabric Data Engineer specialising in ETL/ELT Pipelines, Data Warehousing and Data Quality
Building reliable, scalable data systems with Python, SQL, Spark, and Microsoft Fabric. 3x Azure-Certified.
What I build
End-to-end pipelines, Lakehouse architectures, and Medallion patterns using Microsoft Fabric, Spark, and Databricks.
Interactive Power BI dashboards and data models that turn raw data into business decisions.
Validation frameworks, governance standards, and data protection across cloud platforms.
Technologies and tools I work with
Academic background and professional credentials
Vice Chancellor Scholarship Scholar. First Aid Society, Student Ambassador, External Auditor.
Project proposal on patient readmission and bed management. Lectures on AI in healthcare.
My professional journey in data
Engineered a fully automated, end-to-end data analytics platform in Microsoft Fabric to process, model, and visualise global Antimicrobial Resistance (AMR) data from WHO surveillance datasets.
Built an end-to-end data engineering and analytics project on Microsoft Fabric. Ingested real-time earthquake data, processed it using Medallion architecture, and delivered insights through an interactive Power BI dashboard.
Explored mental health trends across 292,364 responses from 35 countries using PySpark and Python. Analysed treatment-seeking behaviour, work interest, and family history impacts.
Built an NLP pipeline to analyse the sentiment of product reviews, extracting actionable insights from unstructured text data.
Database management and predictive analytics project using SQLite and multiple ML models to analyse car-sharing demand patterns.
Utilised Reinforcement Learning from Human Feedback (RLHF) to improve machine learning model efficiency. Applied mathematical expertise to evaluate and refine model outputs.
Recent work and experiments
Open to new opportunities
