Chicago, Illinois, United States
I am a Data Engineer & Architect and Chicagoan - an advocate for advancing technologies, lifelong learning, and deep dish pizza. As someone that enjoys problem solving and collaborating with driven colleagues and clients, I'm always excited about the next big challenge. I've been in the tech industry for 10 years, and have worked with global organizations to build exciting solutions for their business needs. Through Compass, I am also a pro-bono strategy consultant currently working on a talented team with an Illinois non-profit.
Primarily working on funding strategy projects for various local, non-profit organizations.
Data Engineer, Pharmacy Network: • Developed a scalable geospatial scoring system to rank pharmacy proximity and competitiveness, reducing computational complexity to near-linear performance. • Led Azure DevOps and Terraform-based Databricks infrastructure implementation, enabling secure, multi-environment deployments. • Built a Python analytics library with geospatial logic and fuzzy matching to support pharmacy optimization. • Developed PySpark pipelines in Databricks and Azure. • Led initial deployment and testing to Production environment Data Engineering lead, manufacturing: • Using Databricks Notebooks, Workflows (orchestration), Python, SQL, and PySpark, developed robust, monitored, reliable ELT & ETL data pipelines to feed data to front-end dashboards viewed by executives daily. • Lead engineer, overseeing work of other data and QA engineers. Helped ramp up junior data engineering resources. • Developed enterprise-level data models to be leveraged throughout the organization. • Developed a new object creation framework. Reduced DDL script development, review, deployment, and execution time by ~90%. • Leveraging the Databricks API, developed a framework to deploy Databricks Jobs/Workflows to higher environments, reducing orchestration development time by over 50%. AI Engineer: • Developed a generative AI-driven Proof of Concept application using the OpenAI API, their GPT models, Streamlit, and Pandas. The purpose was to enhance policy management and decision-making for a major insurance provider. • The POC application was showcased to executive stakeholders, advancing client engagement and conveying the standards for technological adoption in the industry. Internal: • Q2 2024 Employee Recognition winner for my development efforts that was recognized by client and internal leadership. • Co-leading efforts to build the partnership between Databricks and Inspire11.
Built neat solutions for amazing clients.
Intelligent Process Automation and Cloud Data Consultant.
Systems Integration Associate Consultant Experience working in: GCP, Azure Tools: GBQ, SSMS, Alteryx, DevOps
• Provided technical support for eDiscovery software in Azure SaaS/Cloud environment as well as on-premise server deployments • Collaborated with infrastructure and software engineers, and database administrators to research, investigate, and troubleshoot software and server issues • Daily responsibilities included troubleshooting multi-server infrastructure/network and front-end software issues, querying SQL databases, and scripting solutions, • Interacted with software development release cycle including JIRA defect tracking, Salesforce ticket tracking, change request tracking • Utilized network troubleshooting tools such as Fiddler, PortQueryUI, and Developer Tools to troubleshoot server-to-server, client-to-server, web server (IIS), point-to-site VPN, authentication, and general connectivity issues