I'm a data and analytics engineer who loves turning messy data into clear, actionable insights that drive business outcomes. I partner with finance, product, and growth teams to design scalable data platforms, automate analytics, and build GenAI-powered decision support. Currently at Find.co in Malta, I lead end-to-end analytics—from data ingestion and modeling to executive dashboards—while enabling self-serve analytics for 40+ users and reducing reporting latency from days to hours. I enjoy solving fraud detection, forecasting, and KPI alignment to guide strategic decisions across functions.…

mahmudo

I'm a data and analytics engineer who loves turning messy data into clear, actionable insights that drive business outcomes. I partner with finance, product, and growth teams to design scalable data platforms, automate analytics, and build GenAI-powered decision support. Currently at Find.co in Malta, I lead end-to-end analytics—from data ingestion and modeling to executive dashboards—while enabling self-serve analytics for 40+ users and reducing reporting latency from days to hours. I enjoy solving fraud detection, forecasting, and KPI alignment to guide strategic decisions across functions.…

Available to hire

I’m a data and analytics engineer who loves turning messy data into clear, actionable insights that drive business outcomes. I partner with finance, product, and growth teams to design scalable data platforms, automate analytics, and build GenAI-powered decision support.

Currently at Find.co in Malta, I lead end-to-end analytics—from data ingestion and modeling to executive dashboards—while enabling self-serve analytics for 40+ users and reducing reporting latency from days to hours. I enjoy solving fraud detection, forecasting, and KPI alignment to guide strategic decisions across functions.

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Skills

Experience Level

SQL
Expert
Python
Expert
AWS
Expert
Azure
Expert
Docker
Expert
Power BI
Expert
Spark
Expert
Kubernetes
Expert
Snowflake
Expert
GitHub
Expert
Tableau
Expert
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Language

English
Fluent

Work Experience

Analytics Engineer at Find.co
August 1, 2024 - November 4, 2025
Partnered with Product, Growth, and Finance stakeholders to design an end-to-end analytics ecosystem integrating 20+ data sources (GA4, CRM, campaigns, and revenue systems) into BigQuery via dbt and Python, enabling self-service analytics for 40+ business users and reducing reporting latency from 3 days to under 2 hours. Co-created a GenAI-powered Analytics Assistant using Zapier and OpenAI that auto-generates SQL from natural language questions, provides summaries and dashboard insights, and cut ad-hoc query requests by 35%. Collaborated with Marketing and Product to map customer journey analytics funnel and retention cohorts, improving segmentation accuracy by 40% and supporting multi-million-dollar ROI improvements. Established metrics governance with 25+ standardized KPIs in dbt, enabling cross-functional alignment. Automated data validation and anomaly detection in Python + SQL, cutting QA time by 60% and boosting stakeholder trust through proactive quality monitoring.
Senior Data Engineer at Ecobank Transnational Incorporated
August 1, 2024 - August 1, 2024
Architected the Vault Balance Utility Analytics System for fraud detection, processing ₦1.19T+ in transactions across 200+ branches, achieving 95% fraud detection accuracy and identifying ₦2.1M in misdisc re pancies informing operational controls. Collaborated with Risk, Compliance, and Finance leadership to implement an Azure Synapse data vault analytics pipeline, transforming multi-week reporting into timely, data-driven insights and delivering 18+ KPI dashboards for executive review.
Associate Analytics Engineer at Prunedge Development Technologies
July 1, 2023 - July 1, 2023
Designed a fraud-detection BI pipeline addressing $12M in annual losses; achieved 94% recall, reduced false positives by 40%, and enabled proactive risk management. Built self-serve analytics for 80+ business users by establishing an enterprise lakehouse (Databricks + Azure SQL) and Power BI dashboards, cutting manual reporting time and enabling near real-time insights. Translated 30+ strategic business requirements into optimized data models and governance across Finance, Risk, and Compliance.

Education

Bachelor of Science with Honours in Computer Science at University of Hull, United Kingdom
September 1, 2015 - July 1, 2019
MSc Big Data & Artificial Intelligence at Queen Mary University of London, United Kingdom
September 1, 2019 - January 1, 2021

Qualifications

Microsoft Certified: Power BI Data Analyst Associate (PL-300)
January 11, 2030 - November 4, 2025
Microsoft Certified: Azure Data Engineer Associate (DP-203)
January 11, 2030 - November 4, 2025
Databricks Certified Developer for Apache Spark
January 11, 2030 - November 4, 2025

Industry Experience

Financial Services, Professional Services, Software & Internet, Education
    paper Branch Score Card

    The Branch Score Card project was initiated with the primary objective of crafting a dynamic Power BI dashboard. This dashboard serves as a pivotal tool for comparing budgetary projections, provided by the finance team, with actual performance metrics extracted from the OLAP database deployed https://www.twine.net/signin via the analysis service https://www.twine.net/signin

    The comprehensive dashboard encapsulates a myriad of Key Performance Indicators (KPIs) meticulously segmented by branch codes, offering invaluable insights into the performance of various bank branches.

    Central to this endeavour is developing and managing a series of SQL views designed to monitor and analyze the performance of individual bank branches. These views serve as a conduit for tracking an array of critical metrics, including but not limited to, the influx of new customers, the reactivation of dormant accounts, and the attainment of loan and CASA balances. Such granular analysis enables stakeholders to make informed decisions and enact strategic measures to optimize branch performance effectively.

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