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Data Analyst with experience in Data Analysis & Pipeline Development
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Assessing your cultural and operational fit
Data professional with hands-on experience across analytics engineering, data analysis, and pipeline development - building systems that turn raw data into reliable, decision-ready outputs. Delivered SQL automation and regulatory reporting solutions for Tier-I banks, cutting multi-day processes to under 30 minutes. Comfortable across the full data stack: production-grade SQL, Python pipelines, Power BI dashboards, and cloud data layers with BigQuery and dbt. Certified in Power BI (PL-300) and Microsoft Fabric (DP-600).
Olusegun Agagu University of Science and Technology
B.Eng. · Mechanical Engineering
August 1, 2018 – June 30, 2024
Independent Contractor
Analytics Engineer
November 1, 2025 – March 1, 2026
Lagos Island, Lagos State, Nigeria
Qucoon Limited
Data Analyst
August 1, 2025 – November 1, 2025
Lagos Island, Lagos State, Nigeria
AG-Dangote Construction Company (Dangote Refinery)
Industrial Trainee
July 1, 2023 – November 1, 2023
Lagos Island, Lagos State, Nigeria
Power BI Data Analyst Associate (PL-300)
Microsoft Certified
January 1, 2025 – Present
Fabric Analytics Engineer Associate (DP-600)
Microsoft Certified
January 1, 2025 – Present
Introducing Generative AI with AWS
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience across independent contracting and a full-time role, coupled with certifications in Power BI and Fabric Analytics, shows a proactive and continuous learning mindset. Their work in financial services, particularly with regulatory reporting, suggests an ability to handle high-stakes, detail-oriented environments. The breadth of skills from analytics to engineering indicates adaptability and a holistic view of data solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through automating complex regulatory returns and improving data accuracy. Their experience collaborating with banking stakeholders and engineering/product teams indicates good communication and cross-functional collaboration abilities. The focus on process automation and efficiency aligns well with operational excellence.