ORINAYO AKINGBOLAGUN
Coventry,Warwickshire
Summary
Experienced Senior Data Engineer excelling in transforming complex datasets into actionable insights. Successfully led multiple projects to optimise data pipelines, resulting in significant time and cost savings. Known for collaborative approach and problem-solving mindset, driving impactful improvements in data infrastructure.
Overview
5
5
years of professional experience
2021
2021
years of post-secondary education
1
1
Certification
Work history
Senior Data Engineer
Turner & Townsend
Birmingham
2025.11 - Current
- Performed data transformations in Azure Databricks using Python, PySpark and SQL, implementing the Medallion architecture (Bronze, Silver, Gold layers) to ensure clean, structured, and analytics-ready datasets.
- Designed and orchestrated scalable data pipelines using Apache Airflow, developing and scheduling DAGs to manage end-to-end data workflows across multiple sources.
- Developed modular and reusable data models using dbt, applying best practices in transformation logic, testing, and documentation to support reliable downstream reporting and analytics.
- Implemented data validation and quality checks across pipeline stages, ensuring data integrity and consistency for reliable insights.
- Extracted and ingested structured and semi-structured data using Microsoft Fabric, centralising data processing and integration across business systems to enhance accessibility.
- Applied dimensional modelling techniques to structure curated datasets, optimising performance for analytics and reporting use cases.
- Collaborated with stakeholders to translate business requirements into scalable data solutions aligned with enterprise architecture standards.
- Contributed to CI/CD practices and version control workflows to ensure controlled deployment and maintainable pipeline development.
Mid-level Data Engineer
DAYSHAPE
Edinburgh
2023.02 - 2025.10
- Designed, developed, and maintained automated data pipelines using Azure Data Factory and Azure Data Lake, enabling secure and scalable data ingestion across projects.
- Leveraged Azure Databricks for advanced data transformations using PySpark, improving processing speed and reusability across multiple pipelines.
- Utilized Azure Synapse Analytics to build data warehouse structures and optimized external table creation for reporting and downstream analytics.
- Developed and optimized SQL and Python scripts for large-scale data preparation, cleaning, and transformation tasks.
- Followed CI/CD practices using Azure DevOps, including release pipelines and automation of deployment steps.
- Collaborated with clients and cross-functional teams to gather requirements, delivering customised data solutions that addressed specific user and business needs.
- Mentored junior and mid-level engineers while providing technical leadership on Azure data tools and architecture decisions, fostering skill development and effective project execution.
- Created technical documentation and led knowledge transfer sessions for stakeholders of varying technical backgrounds, enhancing understanding and usage of data solutions.
Data Engineer
KAGOOL LTD.
Coventry
2021.08 - 2023.01
- Migrated on-premises enterprise data warehouse infrastructure to Azure SQL and Synapse, applying data warehousing best practices including dimensional modelling.
- Developed and managed complex ETL solutions in Azure Data Factory, orchestrating data ingestion from HubSpot, SAP C4C, and other external platforms into Azure Data Lake to ensure timely data availability.
- Utilized Databricks to transform high-volume data, implementing scalable logic using PySpark and integrating with data lake storage.
- Created and optimized stored procedures, views, and SQL queries in SSMS and Synapse, enhancing reporting capabilities and ensuring data integrity for audits and validation.
- Built reusable SSIS-equivalent logic using Azure-native components to modernize legacy workflows.
- Participated in full lifecycle DevOps workflows using Azure DevOps, from branching and testing to automated deployments in CI/CD pipelines.
- Collaborated with stakeholders to gather data requirements and presented technical concepts through well-documented specifications and user guides, facilitating informed decision-making.
- Worked in agile delivery teams, contributing to sprint planning, peer code reviews, and continuous improvement efforts.
Education
Bachelor of Science - Chemical Engineering
University of Birmingham
2017.09 - 2021.07
A-Levels - Maths, Physics, Chemistry
St. Lawrence College
2015.09 - 2017.06
IGCSEs -
Grange School
Skills
- ETL
- SQL
- Spark
- Python
- Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake
- Airflow
- DBT
- Azure DevOps
- DAX
- Fabric
- C#
Certification
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Microsoft Certified: Azure Data Fundamentals (DP-900)
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Power Platform Fundamentals (PL-900)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
Timeline
Senior Data Engineer
Turner & Townsend
2025.11 - Current
Mid-level Data Engineer
DAYSHAPE
2023.02 - 2025.10
Data Engineer
KAGOOL LTD.
2021.08 - 2023.01
Bachelor of Science - Chemical Engineering
University of Birmingham
2017.09 - 2021.07
A-Levels - Maths, Physics, Chemistry
St. Lawrence College
2015.09 - 2017.06
IGCSEs -
Grange School