
Dickson Eyenegho
@dicksoneyenegho
I build reliable cloud data pipelines that turn complex data into decisions.
What I'm looking for
At MoneyAdvisor, I build and maintain production data pipelines processing up to 80GB daily across eight source systems. I use Azure Databricks, PySpark, Python, and SQL to deliver reliable data for analysts and stakeholders.
I've orchestrated ingestion with Azure Data Factory and Azure Functions into Azure Data Lake and Delta Lake, while reusable ETL/ELT transformations cut development time by up to 30%. My automated quality checks have helped achieve 99% transformation accuracy.
Earlier, I used SQL, Power BI, Excel, and Looker to improve pricing, customer, product, and business reporting at Printed Group, RKY Consulting Services, Monzo, and Flutterwave. My analysis supported a 10% conversion increase, a 15% campaign ROI improvement, and a 20% reduction in customer churn.
I'm focused on data engineering and governance that make data dependable, accessible, and useful for smarter decisions. I bring hands-on cloud pipeline delivery alongside experience in data modelling, validation, dashboard automation, and stakeholder collaboration.
Experience
Work history, roles, and key accomplishments
Data Engineer
MoneyAdvisor
Apr 2024 - Present (2 years 6 months)
Created and maintained over 12 production data pipelines using Azure Databricks, PySpark, Python, and SQL, processing up to 80GB daily from 8 source systems. Orchestrated data ingestion with Azure Data Factory and Azure Functions, ensuring efficient data landing into Azure Data Lake and Delta Lake.
Product Pricing Analyst
Printed Group Ltd
Nov 2023 - Apr 2024 (5 months)
Analyzed pricing and sales datasets using SQL, Power BI and Excel, identifying opportunities to improve commercial performance. Identified two pricing adjustments that contributed to a 10% increase in conversion within three months.
Business Insight Analyst
RKY Consulting Services Ltd
Jan 2023 - Oct 2023 (9 months)
Utilized SQL and Power BI to analyze and visualize datasets, enhancing client reporting and supporting strategic decisions. Defined and tracked 10 critical KPIs, directly contributing to informed performance and strategy decisions.
Executed eight A/B tests, achieving a 20% reduction in customer churn with data-led retention initiatives. Built three Looker dashboards for monitoring customer lifetime value, product performance, and compliance.
Examined customer behavior and product usage data with SQL and statistical analysis to enhance strategic decision-making. Expanded six customer segmentation models, boosting feature adoption by 15%.
Education
Degrees, certifications, and relevant coursework
University of Bradford
Master of Science, Applied AI & Data Analytics
2021 - 2022
Grade: Merit
Completed an MSc in Applied AI & Data Analytics with Merit.
University of Port Harcourt
Bachelor of Science, Computer Science
2012 - 2016
Earned a Bachelor of Science in Computer Science.
Google Data Analytics Certificate, Data Analytics
Earned the Google Data Analytics Certificate.
DataCamp
SQL Associate Data Analyst, Data Analysis
Earned the SQL Associate Data Analyst certification.
Microsoft
Microsoft Certified: Azure Databricks Data Engineer Associate, Data Engineering
Earned the Microsoft Certified: Azure Databricks Data Engineer Associate certification.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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