Open to opportunities

Mahmud O

@mahmudo

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Data & BI Engineer driving self-service analytics and ML-powered fraud reduction.

Malta

Message

What I'm looking for

I seek senior data engineering/BI roles where I can build scalable pipelines, enable self-service analytics, reduce fraud losses, and drive data-led business impact.

I am a Data & BI Engineer with 7+ years building enterprise analytics solutions across finance, marketing, and iGaming, specialising in Power BI, Azure Synapse, dbt, and ML-powered fraud detection.

I architect scalable data pipelines and lakehouse solutions using BigQuery, dbt, Apache Spark, Airflow, and Azure Data Factory, delivering medallion-layered architectures and productionised ELT that cut data preparation time and storage costs.

I build semantic models, advanced DAX measures, and ThoughtSpot/Power BI reporting that enabled 500+ users, eliminated 60% of manual reporting, and supported $2M+ marketing investment decisions while improving forecasting and KPI visibility.

I design and deploy ML fraud detection systems (XGBoost, LightGBM, scikit-learn) that achieved 94% recall and $8M+ annual fraud loss reduction, and I automate operational reporting with Power Automate and pipeline orchestration to save time and reduce errors.

Experience

Work history, roles, and key accomplishments

Current

Data & BI Engineer

Current

Find.Co

Aug 2024 - Present (1 year 2 months)

Architected a unified marketing analytics pipeline using BigQuery and dbt, reducing manual reporting by 60% and shortening time-to-insight from 3 days to under 2 hours; developed Power BI and ThoughtSpot models that increased marketing ROI by 28% on a $500K monthly ad spend.

BigQuery DBT Power BI ThoughtSpot DAX GA4 SQL Data Modelling Marketing Analytics

Data Engineer Officer

Ecobank Transnational Incorporated

Aug 2023 - Aug 2024 (1 year)

Built Azure Synapse-powered fraud detection and vault reconciliation processing >1.19tn transactions and a Power BI dashboard that detected ₦2.1M discrepancies, cut reconciliation time to real-time and improved audit efficiency by 70%.

Azure Synapse Power BI DAX Azure Data Factory Data Modelling Anomaly Detection Power Automate SQL

Associate Data Engineer

Prunedge Development Technologies

Jan 2022 - Jul 2023 (1 year 6 months)

Developed ML-based fraud detection on 80M+ transactions (XGBoost/LightGBM) achieving 94% recall and $8M+ annual fraud loss reduction; architected a Spark/Airflow lakehouse that reduced data prep time by 55% and enabled self-service for 100+ users.

Apache Spark Airflow Python XGBoost LightGBM Power BI Minio ETL

Education

Degrees, certifications, and relevant coursework

University of Hull

Bachelor of Science (Honours), Computer Science

2015 - 2019

Grade: Second Class Upper Division

Completed a Bachelor of Science (Honours) in Computer Science with Second Class Upper Division, focusing on core computing principles and practical software development.