Adefemi Ayodele

Adefemi Ayodele

🧠 Senior Data Engineer
🔬 AI Academic Researcher

Building cloud-scale data platforms, publishing peer reviewed AI research, and authoring expert commentary to drive data-informed innovation.

What I Do

Data Engineering & Architecture

I design and build reliable, scalable data systems. From ingestion to orchestration, I work across the stack to ensure data flows efficiently and remains readily available. My experience spans cloud pipelines, distributed processing, and operational data warehousing. I optimize for performance, maintainability, and cost without compromising quality.

Data Science & Machine Learning

I develop machine learning models that go beyond experimentation. My work focuses on end-to-end ML workflows,from feature engineering and training to evaluation and deployment. I prioritize interpretability, scalability, and real-world impact, with a strong grounding in statistical thinking and algorithmic design.

Analytics & Business Intelligence

I translate complex data into clear, actionable insights. Whether it's building interactive dashboards or performing exploratory analysis for on-demand inquiries, I help teams make informed, data-backed decisions. I focus on metrics that matter, and communication and reporting that ensure stakeholder engagement.

Research & Strategic Innovation

I combine a strong academic foundation with practical AI innovation, grounded in peer-reviewed research on optimization, ensemble learning, healthcare AI e.t.c. My research anchors every project in rigorous evidence. I translate complex technical advancements into accessible insights and contribute to ethical, human-centered AI conversations in leading publications.

Technical Skills

Azure
Databricks
SQL
Python
Azure Data Factory
Azure Synapse
Tableau
TensorFlow
Spark
Microsoft Azure
Azure Data Factory
Azure Synapse Analytics
Power BI
Azure Machine Learning

Azure Synapse

Azure ML

Python

Power BI

Excel

Data Factory

Databricks

SQL

Tableau

Machine Learning

Data Strategy & Business Alignment

Natural Language Processing

Team Leadership

Project Mgmt

Problem Solving

Professional Experience

Work History

Senior Data Engineer

2024 - Current
Planning Inspectorate

Spearheaded and maintained data pipelines and warehouse solutions to support infrastructure planning, leveraging Azure Synapse Analytics, Azure Data Factory, SSIS, and Python.

Data Scientist

2022 - 2024
Generate First

Developed and deployed machine learning models to deliver insights and support data-driven decisions across industries.

Product Owner

2022 - 2023
Cloven Technology

Defined product strategy, managed prioritized backlogs and requirements, and drove value through cross-functional stakeholder collaboration.

Data Analyst

2022
B&D Stores, Lapace Services UK Ltd

Delivered actionable insights using interactive Power BI dashboards and optimized key metrics to support strategic decisions.

Data Scientist

2018 - 2020
FTZ Xpress Global Services

Utilised Python to build predictive models and extract actionable insights, optimizing logistics operations.

Data Scientist

2016 - 2018
Interlink Voyagers

Leveraged Python and ML to forecast demand and optimize corporate travel operations.

Data Entry Specialist

2014 - 2016
Convulanté Ltd

Accurately entered and maintained financial data using Excel and accounting software, ensuring data integrity and confidentiality.

Education

Big Data Technologies M.Sc.

2023
University of East London, UK

Trained in advanced Big Data systems including machine learning, data mining, and cloud technologies like Hadoop and Spark.

Computer Science M.Tech

2019
Ladoke Akintola University, Nigeria

Specialized in algorithms, software engineering, artificial intelligence, and data analytics.

Value-Based Strategic Planning

2018
University of Malaya, Malaysia

Professional development in IT strategy alignment and technology-driven transformation.

Advanced Strategic Management

2017
International University of Management, Namibia

Focused on high-level decision-making, risk assessment, and management in complex organizations.

Computer Engineering B.Tech

2012
Ladoke Akintola University, Nigeria

Focused on digital systems design, microprocessor architecture, and embedded systems.

Featured Projects

Data Warehouse & RCA

Designed and optimized a scalable Data Lake and SQL Pools, building high-performance ETL pipelines while troubleshooting and resolving failures through root-cause analysis. Automated data quality validation across multiple layers using pytest, significantly improving reliability and reducing pipeline downtime. Implemented event-driven architectures with Azure Function Apps and Service Bus, integrating Databricks notebooks for fault-tolerant workflows. These optimizations minimized latency, reduced manual intervention, and strengthened end-to-end data resilience.

Azure Synapse Spark SQL pytest

ETL Pipeline Engineering & Automation

Designed and deployed reusable, modular SSIS and Azure Data Factory (ADF) pipelines using Python scripting. Automated scheduling, error handling, and logging to improve reliability, reducing manual intervention by 60%. Migrated legacy SSIS workflows to cloud-native ADF, optimizing performance and scalability. Implemented data validation checks, increasing accuracy by 75% and cutting maintenance overhead by 40%.

SSIS ADF Python IaC

Data Integration & SQL Optimization

Designed and implemented a scalable data integration solution by consolidating 25+ disparate data sources through optimized SQL stored procedures and ETL pipelines. Established real-time cross-database synchronization using change data capture (CDC) and message queueing, reducing query latency by 60% and accelerating analytics delivery by 3x.

SQL Azure Data Factory

CI/CD for Azure Data Factory

Designed and implemented CI/CD pipelines for Azure Data Factory (ADF) using Azure DevOps, integrating Git version control for source-controlled development and rollback capabilities. Automated testing and deployment workflows reduced integration failures by 40% and accelerated release cycles by 50%, enabling faster, more reliable data pipeline deployments.

Azure DevOps ADF Git pytest

Sales Analysis

Automated sales reporting by migrating on-premises SQL databases to Azure, transforming and processing data in Databricks, and developing an interactive Power BI dashboard to visualize daily/monthly sales trends and top-performing products. This eliminated manual reporting, providing real-time KPIs to optimize inventory planning and enhance promotional targeting.

Azure Storage Data Factory Databricks Power BI

Airline Customer Insights & Booking Prediction

Conducted sentiment and topic analysis on web-scraped airline customer reviews, then trained a Random Forest model to predict booking success. Generated visualizations including word clouds and feature importance plots to identify key sentiment drivers. Insights derived from the analysis informed targeted marketing strategies, leading to improved booking conversion rates.

Python BeautifulSoup NLTK RandomForest

Intrusion Detection System (IDS)

Loaded and processed security logs in Apache Spark, performing exploratory data analysis (EDA) to identify attack patterns and trends. Developed a Linear Regression model to predict network attack frequency, leveraging Seaborn for visualization to derive actionable insights. Implemented predictive security monitoring, reducing incident response times through proactive threat detection.

PySpark Spark SQL Linear Regression Matplotlib

Network Intrusion Detection

Processed the UNSW-NB15 network dataset using PySpark for scalable data handling, applied Bisecting K-Means clustering to segment traffic patterns, and trained a Random Forest classifier to identify attack signatures. This approach enhanced threat detection accuracy and reduced latency, enabling real-time, proactive security responses.

PySpark Spark MLlib KMeans RandomForest

HR Analytics: Absenteeism Insights

Integrated HR and absenteeism datasets using SQL, employing optimized JOINs and WHERE clauses to filter employees with low absenteeism. Designed an interactive Power BI dashboard featuring demographic trends, absence patterns, and NLP-generated insights from employee feedback. Spearheaded a data-driven bonus initiative, targeting high-performing, low-absence staff, resulting in a 65% reduction in absenteeism and improved wellness program ROI.

SQL Power BI DAX NLP

Publications

Research publication
Media 16 Apr 2025
The Truth About AI

The Punch | Most Widely Read Newspaper

Research publication
Academic 12 Feb 2025
Comparative Analysis of Chameleon Swarm Optimization and Weighted Sum Fusion Techniques

International Journal of Scientist Research and Modern Technology

Machine learning research
Academic 29 Aug 2024
Prediction of Depression Severity Using Machine Learning on Multimodal Data

2024 IEEE 12th International Conference on Intelligent Systems (IS)

Data science research
Academic 22 Dec 2023
The role of deep learning in predicting disease progression in diabetic patients

World Journal of Advanced Engineering Technology and Sciences

Data science research
Academic 30 Aug 2023
A comparative study of ensemble learning techniques for imbalanced classification problems

World Journal of Advanced Research and Reviews

Neural network
Academic 06 Sept 2019
Soft Computing: Optimization of Hybridized Neural Network Variant with Genetic Algorithm for Anomaly Detection

International Journal of Innovative Research and Development

Cyber security
Academic 20 Sept 2019
A Hybrid Counter Propagation Neural Network For Detection Of Anomalies In An Online Transaction

International Journal For Research & Development In Technology

Get In Touch

Contact Information

Location

London, United Kingdom

Email

adefemi@adefemiayodele.com

Phone

+44 744 641 81XX

Connect With Me

Send Me a Message