🚀 Aspiring Data Engineer | Data Analyst | Financial Systems Specialist
I am a data professional with a background in financial services, currently evolving my expertise into Data Engineering. I thrive on building systems that don't just "show" data, but move and transform it efficiently.
Financial Securities Automation:
The Challenge: Reporting for Bonds, OMO, and Treasury Bills was trapped in manual Excel sheets, causing high latency and errors.
The Build: Engineered a robust SQL Server ETL pipeline to centralize fragmented security data.
The Result: ⚡ Reduced reporting turnaround from hours to seconds and significantly improved data integrity.
📊 ABZ Limited | Credit Risk & Loan Analytics:
The Challenge: Investigating a surge in loan defaults within a micro-lending portfolio.
The Build: Developed an end-to-end Power BI suite utilizing DAX and Power Query to segment borrower risk.
The Result: 🎯 Identified unexpected default trends in mid-grade borrowers (B, C, D), leading to a refined credit strategy.
Explore the Analytics Case Study
🛠️ The Technical Toolbox
◽ Data Analysis & Visualization 🛠️ SQL Server 📊 Power BI (DAX, Power Query) 📉 Excel
◽ Data Engineering (The Evolution) 🐹 Go (Golang) — Currently building high-performance backend logic and learning concurrency.
🌱 What I'm Currently Building
Right now, I am deep-diving into data engineering and Go (Golang) to understand the performance side of data processing. I'm moving beyond just analyzing data to building the high-speed engines that carry it.
📫 Let's Talk Data