Ola

A Senior Data Engineer | Lakehouse Architect | Analytics Engineer. I design and build modern Lakehouse data platforms that turn complex operational systems into clean, governed, high-performance analytics ecosystems. Over the past decade, I've worked across healthcare, banking, and public sector environments helping organizations modernize legacy data stacks into Azure-centric Lakehouse architectures powered by Azure Databricks, Delta Lake, Microsoft Fabric, and dbt.

My work focuses on building robust ELT frameworks, advanced dimensional models, Spark-optimized processing pipelines, and rigorous data quality controls that produce trusted, business-ready data products.

I care about four things: performance, reliability, security, and clarity. If a platform isn't scalable, governed, and easy for the business to use, it isn't finished.

Senior Data Engineer - HHAeXchange

(2025-01)

Led the architecture and implementation of a scalable Azure Databricks Lakehouse platform centralizing EVV, caregiver, billing, and patient datasets into a governed analytics environment supporting Medicaid compliance and operational visibility.

• Designed a Medallion-based Lakehouse architecture using Azure Data Factory and Azure Databricks (Delta Lake)
• Built robust ELT pipelines transforming high-volume transactional healthcare data into curated fact and dimension models
• Developed and maintained SSRS Paginated Reports for clinical and operational teams, transforming complex healthcare data into structured, print-ready reports used for patient outcome tracking, regulatory reporting, and daily hospital operations
• Integrated Power Automate workflows with Dataverse to operationalize data quality and compliance processes—automating alerts for patient, caregiver, and billing data anomalies and enabling real-time issue resolution by business teams, improving Medicaid reporting accuracy and turnaround time
• Implemented advanced Spark optimization techniques (partition tuning, workload distribution, file compaction) improving large dataset processing performance
• Developed modular dbt transformation layers to standardize KPI logic and enforce reusable modeling patterns
• Implemented incremental ingestion and change-tracking frameworks for near real-time systems
• Built Python automation scripts for API ingestion, reconciliation, and data validation
• Established rigorous data quality checks and reconciliation processes for Medicaid reporting accuracy
• Enforced HIPAA-compliant RBAC and PHI protection controls
• Implemented CI/CD workflows for controlled promotion across dev, test, and production environments

Power BI Data Engineer - Coforge - Hybrid

(2024-07 - 2024-12)

Contributed to enterprise reporting modernization initiative replacing legacy BI systems with a Microsoft Fabric Lakehouse architecture.

• Designed Fabric Lakehouse aligned to Bronze/Silver/Gold Medallion architecture
• Built enterprise ELT pipelines using ADF and Databricks for structured and semi-structured banking datasets
• Applied Spark optimization and Delta Lake best practices to improve processing efficiency
• Standardized KPI logic using dbt modular modeling frameworks
• Integrated Databricks outputs into Fabric semantic models for near real-time reporting
• Optimized Power BI datasets and DAX calculations to significantly improve refresh performance
• Implemented Row-Level Security enforcing branch and regional-level data governance
• Automated deployment workflows across Fabric workspaces

Analytics Engineer - HealthPartners - Remote

(2023-06 - 2024-06)

Supported healthcare analytics modernization transitioning from legacy ETL to ELT-driven architecture.

• Partnered closely with clinicians, pharmacy leaders, and business stakeholders to translate real-world healthcare questions into clear analytical use cases
• Designed dimensional models supporting claims, clinical, and operational analytics
• Automated data validation using Python-based quality checks
• Optimized Snowflake queries and large analytical workloads
• Standardized KPI definitions reducing inconsistencies across departments
• Improved reporting performance through model redesign and SQL optimization

Senior Data Analyst - Allianz - Golden Valley, MN

(2023-05 - 2023-11)

Led BI initiatives integrating medical and operational datasets into reusable semantic models.

• Designed enterprise-grade Power BI semantic models supporting executive KPIs
• Developed advanced DAX measures and optimized dataset performance
• Strengthened metadata governance and KPI standardization
• Supported secure access control for sensitive healthcare data

Data Analyst - Hennepin County - Minneapolis, MN

(2019-10 - 2020-05)

Integrated data from case management, finance, and public health systems into centralized reporting models.

• Built dashboards supporting public health program performance
• Automated recurring reporting processes
• Implemented regulatory validation and compliance checks
• Ensured governance and privacy standards across datasets

Computer Science - Computer Science - North Hennepin Community College (2014 - 2016)

B.Sc. - Geography and Regional Planning - Olabisi Onabanjo University (2009)