Ola
Senior Data Engineer | Lakehouse Architect | Analytics Engineer
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About
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.
Experience
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
Education
Computer Science - Computer Science - North Hennepin Community College (2014 - 2016)
B.Sc. - Geography and Regional Planning - Olabisi Onabanjo University (2009)
