EMMANUEL IBIAM
Glasgow
Summary
Accomplished data engineer with expertise in data engineering and architecture, specialising in data pipeline design, distributed data processing, and data governance. Proficient in programming languages such as Python, PySpark, SQL, and libraries like Pandas and NumPy. Experienced with cloud platforms including Microsoft Azure and AWS, as well as big data tools like Apache Spark and Databricks. Skilled in DevOps practices including CI/CD pipelines, agile delivery, and version control. Adept at leveraging machine learning for predictive analytics and NLP to drive business insights. Career goal: to innovate scalable data solutions that enhance organisational decision-making processes.
Overview
5
5
years of professional experience
Work history
Senior Data Engineer
Ofgem
2024.06 - 2026.03
- Contribute to the development and operationalisation of Ofgem’s enterprise cloud-based data platform on Microsoft Azure, delivering scalable and production-ready data pipelines supporting multiple business functions.
- Design, develop, and maintain scalable data pipelines using Python, PySpark, and SQL, supporting ingestion, transformation, and integration of enterprise data.
- Contribute to the architecture and development of Ofgem’s modern data platform on Azure, supporting data analytics and reporting across multiple departments.
- Lead the migration of legacy data systems from QlikView to modern cloud-based data platforms, improving data accessibility, reliability, and performance.
- Collaborate with cross-functional teams including data science, analytics, IT, and product teams to translate business requirements into scalable data engineering solutions.
- Implement engineering best practices including code reviews, testing, and CI/CD pipelines using Azure DevOps, ensuring reliability and maintainability of data solutions.
- Support data governance and regulatory compliance, ensuring adherence to GDPR and internal data standards.
- Mentor and support data engineers and colleagues across the organisation, providing guidance on data engineering techniques, pipeline development, and best practices.
- Contribute to Agile delivery by managing engineering tasks through Azure DevOps boards and sprint planning, ensuring timely delivery of data solutions.
Data Science & Engineering Consultant
Stakeout
2023.01 - 2024.05
- Designed and delivered data engineering and machine learning solutions for enterprise data analytics use cases.
- Developed distributed data pipelines using Python and Apache Spark to process large datasets efficiently.
- Built analytical tools and machine learning models to support business decision making.
- Designed scalable data transformation workflows and reusable data processing components.
Senior Data Scientist
Caterpillar Inc
2022.05 - 2022.12
- Developed predictive analytics and machine learning solutions to optimise industrial equipment performance.
- Designed and deployed a predictive machine learning model to forecast engine failures, improving operational efficiency.
- Developed physics-informed machine learning algorithms to analyse engine cycle behaviour.
- Collaborated with engineering teams to apply high-performance computing and advanced data analytics techniques.
Data Scientist (Contract)
Barclays
2021.11 - 2022.05
- Worked within financial crime analytics teams to develop data-driven risk detection models.
- Built a production NLP model to classify Suspicious Activity Reports (SARs).
- Conducted large-scale customer segmentation analysis on ~26 million customers using SQL and clustering techniques.
Postdoctoral Research Associate – Data Scientist
ConocoPhillips / Heriot-Watt University – Edinburgh
Edinburgh
2021.02 - 2021.09
- Applied machine learning and clustering techniques to identify reservoir formations influencing oil production.
- Developed predictive models to detect under-performing wells and improve operational efficiency.
- Presented technical findings and data visualisations to engineering stakeholders.
Education
PhD - Petroleum Engineering
Heriot-Watt University
EdinburghMaster of Science - Petroleum Engineering
Heriot-Watt University
EdinburghBachelor of Science - Petroleum Engineering
Federal University of Technology
OwerriSkills
- Data Engineering & Architecture
- Data Pipeline Design Data Platform Architecture Distributed Data Processing Data Modelling Data Governance Data Quality Data Integration Data Transformation
- Programming
- Python PySpark SQL Pandas NumPy Scikit-learn
- Cloud & Big Data Platforms
- Microsoft Azure Azure Data Factory Azure Synapse Azure Data Lake Apache Spark Databricks (conceptual familiarity) Power BI AWS Airflow
- DevOps & Engineering Practices
- CI/CD Pipelines Azure DevOps Agile Delivery Code Reviews Testing & Quality Assurance Version Control
- Data & Analytics
- Machine Learning Predictive Analytics NLP Data Visualisation Model Monitoring MLOps
AWARDS & RECOGNITION
Royal Academy of Engineering – UK Global Talent Nomination, Petroleum Technology Development Fund (PTDF) – PhD and MSc Scholarship Awards
Timeline
Senior Data Engineer
Ofgem
2024.06 - 2026.03
Data Science & Engineering Consultant
Stakeout
2023.01 - 2024.05
Senior Data Scientist
Caterpillar Inc
2022.05 - 2022.12
Data Scientist (Contract)
Barclays
2021.11 - 2022.05
Postdoctoral Research Associate – Data Scientist
ConocoPhillips / Heriot-Watt University – Edinburgh
2021.02 - 2021.09
PhD - Petroleum Engineering
Heriot-Watt University
Master of Science - Petroleum Engineering
Heriot-Watt University
Bachelor of Science - Petroleum Engineering
Federal University of Technology