Abiola A. David, MSc, MVP

Data Engineer

London, England, United Kingdom13 yrs 1 mo experience

Highly Stable

Key Highlights

Multiple international awards in data engineering and analytics.
Seven-time Microsoft MVP in Fabric and Excel.
Over 1,500 published articles and tutorials.

Stackforce AI infers this person is a SaaS data engineering expert with extensive experience in BI and cloud technologies.

Contact

Skills

Core Skills

Data EngineeringData ArchitectureMicrosoft FabricExcel

Other Skills

dbtDataOpsVisual Basic for Applications (VBA)SQL Server Analysis Services (SSAS)Continuous Integration and Continuous Delivery (CI/CD)Data ProductsMaximoInformation ModelingData AnalyticsData WarehousingMachine LearningExtract, Transform, Load (ETL)Data VisualizationR (Programming Language)Python (Programming Language)

About

A multiple international award-winning data professional, Abiola is a seasoned Senior Data Engineer and Business Intelligence Developer with over a decade of experience delivering transformative BI and data engineering solutions across diverse industries—including IT, retail, energy, and banking. He specializes in harnessing modern technologies such as Databricks, Microsoft Fabric, Azure, SQL Server, Snowflake, Power BI, and Excel to architect and implement robust, high-performance, and scalable analytics solutions. As an avid YouTuber, blogger and author, Abiola has published more than 1,500 articles, tutorials, and videos across multiple platforms, empowering global audiences with practical insights and technical excellence. His contributions to Microsoft Fabric and Excel have earned him the prestigious Microsoft MVP award for seven consecutive years—recognized in both the M365 (Excel) and Data Platform (Microsoft Fabric) categories. Additionally, his impact within the Databricks Intelligent Platform has been honoured with the prestigious Databricks award, underscoring his role as a globally respected leader in data engineering and analytics field. He also hold CSharp MVP award status for 3 consecutive years. Abiola currently works as a Data Engineer at National Grid, UK and mentors professionals considering careers in the field of modern Data Engineering platforms. He can be contacted for Lead / Senior Data Engineering roles and consulting

Experience

13 yrs 1 mo

Total Experience

9 yrs 5 mos

Average Tenure

6 yrs 4 mos

Current Experience

National grid

2 roles

Data Engineer

Jun 2025 – Present · 11 mos · Hybrid

dbtDataOpsData EngineeringData Architecture

Power BI Developer

Aug 2024 – Jun 2025 · 10 mos · Hybrid

C# corner

C# Corner MVP

Jan 2024 – Present · 2 yrs 4 mos

Honored for outstanding contributions to the C# and .NET community.
Actively engaged in writing technical articles, sharing insights, and providing mentorship to fellow developers.
Collaborated with peers and participated in community initiatives to promote knowledge sharing and innovation.

Microsoft most valuable professional

Microsoft MVP - Fabric and Excel

Jan 2020 – Present · 6 yrs 4 mos

Recognized for exceptional expertise in Microsoft Fabric and Excel, and significant contributions to the community.
Engaged in speaking at industry events, writing articles, and providing guidance to peers.
Actively contributed to the development and enhancement of Microsoft technologies through feedback and participation in MVP programs.

Visual Basic for Applications (VBA)SQL Server Analysis Services (SSAS)Microsoft FabricExcel

Youtube

Content Creator (Data Engineering & Analytics)

Aug 2018 – Present · 7 yrs 9 mos

Hands-on Data Engineering and Analytics videos leveraging Microsoft Fabric, Azure, SQL Server, Excel, Power BI, Databricks, Snowflake, GCP and AWS

Excel jet consult

Senior Data Engineer

Apr 2013 – Sep 2022 · 9 yrs 5 mos · Lagos, Nigeria

Led and mentored a high-performing team of 4 data engineers in delivering enterprise-grade Azure data engineering solutions, ensuring alignment with business objectives, technical best practices, and project timelines.
Developed and optimized Azure Data Pipelines, automating data ingestion, transformation, and loading (ETL) processes. This resulted in a 70% reduction in processing times and supported real-time data analytics capabilities.
Spearheaded the design and implementation of scalable data pipelines using Azure Data Factory, Azure Synapse Analytics enhancing data ingestion, transformation, and integration processes from on-prems and cloud platforms. The initiative resulted in an 80% improvement in data quality and availability for analytics purposes.
Managed and optimized Azure SQL databases, implementing performance tuning practices that decreased load times by 50% and significantly reduced downtime.
Pioneered the implementation of SQL Server Warehouse, optimizing data storage and retrieval processes that increased data query performance by 60%.
Designed and implemented CI/CD pipelines using Azure DevOps, automating the build, test, and deployment of Azure Data Factory, Synapse, and Power BI solutions.
Work closely with cross-functional teams to translate evolving business needs into scalable, data-driven solutions.
Spearheaded the development and implementation of interactive dashboards and reports using Microsoft Power BI, providing actionable insights into key performance indicators (KPIs) and driving data-informed decision-making across departments.
Designed and maintained complex data models in Power BI, integrating data from multiple sources including SQL databases, Excel spreadsheets, and cloud-based applications, resulting in a 40% reduction in report creation time.