Lead the design and implementation of a modern medallion data lakehouse architecture on Azure Databricks, establishing a comprehensive data platform foundation.

Achieved 87% reduction in cloud infrastructure costs and performance runtime through rearchitecting the legacy data platform.

Developed a call center AI-Agent to guide representatives through standardized procedures and policies for student inquiries, while implementing an automated sentiment analysis of call recordings to support quality assurance and performance improvement initiatives.

Championed university-wide architectural transformation initiative by developing a strategic roadmap to migrate existing on- premise infrastructure and workflows to the new modern data platform architecture.

Designed and implemented a scalable data lakehouse architecture on Google Cloud Platform using Spark and Apache Airflow, following a medallion architecture.

Collaborated with cross-functional teams and worked with pastor and church staff to create an event-driven dashboard tracking church metrics and KPIs, significantly improving data-driven decision-making efficiency.

Architected scalable cloud data solutions for customer migrations across Databricks and Azure platforms, designing enterprise-grade infrastructure that supports varying data volumes and enables seamless scaling as customer requirements evolve.

Engineered metadata-driven pipeline frameworks that automated data ingestion processes and simplified deployment procedures, facilitating rapid scaling and consistent implementation of data workflows.

Established comprehensive CI/CD pipelines using Azure DevOps and/or GitHub Actions to automate testing, deployment, and monitoring of data platform, ensuring reliable code delivery and streamlined operations for customer cloud migrations.

Designed and architected comprehensive on-premises data solutions leveraging SQL Server, SSIS, and Control-M, creating robust ETL frameworks and database architectures to support enterprise-scale data loading and extraction requirements.

Translated complex business requirements into technical data architecture designs, developing optimized data pipelines and database schemas that ensured reliable information flow across on-premises enterprise systems and applications.

Engineered performance-optimized data processing solutions through strategic database design, query optimization, and ETL enhancements, significantly improving execution times and system efficiency across the on-premises infrastructure.

Designed, built, and maintained scalable data pipelines and robust web applications to drive efficient data management and seamless user experiences.

Leveraged advanced technologies to develop innovative solutions that enhance business intelligence and operational efficiency

Collaborated closely with church leadership to conceptualize, design, and implement software solutions aligned with the church's mission and objectives.

Utilized front-end technologies like HTML, CSS, and JavaScript to develop user-friendly web interfaces, facilitating seamless online experiences for the congregation.

Collaborated with core church staff and pastors to create a new website for the church, primarily utilizing the Planning Center Church Management platform.

Played a key role in rebuilding the administrative foundation for the church.

Collaborated with Lead and Senior Data Warehouse Developers on a processing engine utilizing SQL stored procedures, query scripts, and SSIS packages.

Primarily responsible for conducting unit testing and user acceptance testing to identify areas for improvement in the development lifecycle.

Created and documented functional and technical specifications throughout the development process.

Performed quality assurance activities and assisted Senior and Lead developers to ensure the delivery of high-quality products and services.