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Femi Babatunde

@femibabatunde

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Data engineer specializing in Microsoft Fabric and cloud data solutions, driving reliable analytics and data quality.

Canada

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What I'm looking for

I seek a data engineering or analytics role where I can build governed, scalable data platforms, mentor teams, and deliver BI and ML solutions that measurably improve decision-making.

I am a data engineer with 8+ years building scalable data pipelines, models, and analytics solutions across government, nonprofit, and corporate environments. I specialize in the Azure ecosystem and Microsoft Fabric tools, and I optimize ETL/ELT processes to improve data quality and enable data-driven decisions.

I have led ML initiatives, implemented CI/CD and governance checks, and delivered dashboards and automation that improved executive decision-making and operational efficiency. I combine technical depth in SQL, Python, and BI platforms with a collaborative approach to training and stakeholder engagement.

Experience

Work history, roles, and key accomplishments

Current

Intermediate Business Intelligence Engineer

Current

Government of Alberta

Feb 2025 - Present (8 months)

Built and maintained Power BI dashboards connected to Microsoft Fabric tools, improving procurement visibility for ministries and standardizing procurement registry data to increase accuracy and enable automation.

Power BI Microsoft Fabric Azure Data Factory Power Automate SQL Data Governance Training

Data Engineer

World Vision Canada

Dec 2021 - Jan 2025 (3 years 1 month)

Developed and optimized ETL pipelines with Azure Data Factory and Snowflake, built dashboards to track donor campaign performance, and led an ML initiative that improved project efficiency by 18%.

Azure Data Factory Snowflake Power BI Sisense CI CD Python ETL Data Governance

Data Analyst

Celero International

Nov 2020 - Dec 2021 (1 year 1 month)

Designed and optimized ETL pipelines using SSIS and Azure Data Factory to reduce processing time and implemented data quality controls across finance, operations, and marketing to reduce reporting discrepancies.

SSIS Azure Data Factory SQL Data Quality Reporting Stakeholder Engagement ETL

Data Science Fellow

Springboard

Apr 2020 - Apr 2021 (1 year)

Built supervised and unsupervised ML models using Python (scikit-learn), developed an NLP model with ROC-AUC 0.78 for App Store review classification, and communicated findings to non-technical stakeholders.

Python scikit learn NLP Classification Clustering Model Evaluation Data Visualization

Business Data Analyst

Foytech Labs

Aug 2020 - Nov 2020 (3 months)

Built and optimized data lakes and warehouses with Azure SQL and Fabric components, applied DevOps pipelines for scalable deployments, and delivered predictive models that improved customer acquisition projections by 30%.

Azure SQL Microsoft Fabric DevOps Python Data Warehousing Agile

Data Analyst

ABS Shoring Inc.

Jan 2018 - Jan 2020 (2 years)

Performed data analysis to support business operations and reporting between 2018 and 2020, contributing to improved data-driven decisions across teams.