PROFESSIONAL SUMMARY

Data Engineer and Analytics Professional with 5+ years of experience designing and implementing data warehouses, integration platforms, reporting solutions, and business intelligence systems. Experienced in building scalable ETL/ELT pipelines, dimensional data models, and cloud-based analytics solutions using Azure Databricks, SQL, Python, and Power BI. Proven ability to translate business requirements into robust technical solutions that improve operational efficiency, enhance decision-making, and deliver measurable business value. Strong background in data architecture, data governance, stakeholder engagement, and Agile development practices.

PROFESSIONAL EXPERIENCE

Moog Space and Defense Group (Blacksburg, VA)

Data Engineer (Remote)
June 2025 – Present

  • Design, develop, and maintain enterprise data warehouses and integration systems to support business intelligence, analytics, and reporting initiatives.
  • Develop scalable ETL/ELT pipelines using Azure Databricks, SQL, and Azure data services to ingest, transform, and deliver trusted business data.
  • Collaborate with business stakeholders to gather requirements, translate functional needs into technical solutions, and ensure successful adoption of data products.
  • Design and optimize dimensional data models and warehouse structures to improve reporting performance and data accessibility.
  • Perform solution testing, validation, and documentation to ensure data accuracy, reliability, and maintainability.
  • Provide post-implementation support, troubleshooting, and continuous improvement for production data platforms and integrations.
  • Partner with cross-functional teams to standardize data engineering practices, governance, and development processes.
  • Build and maintain data solutions supporting analysis, operational reporting, and strategic decision-making across the Space and Defense business.

Cargill Food and Bio – Americas Data & Analytics (Wayzata, MN)

Senior Consultant, Data Analytics & Reporting (Remote)
January 2025 – June 2025

  • Utilized the OpenAI API to implement an Agentic-RAG architecture. Training the AI on our code base to facilitate data analysis.
  • Migrated exiting reporting databases to Snowflake. Preforming App analysis to determine priority, and effort required.
  • Built a Power BI model and report to monitor order health, providing insights never before available to customer service reps, reducing 95,000 emails, and saving 6,630 hours annually.

Senior Analytics & Data Process Analyst (Remote)
October 2023 – January 2025

  • Gathered Business Requirements into technical solutions, ensuring user adoption and data-driven decisions.
  • Created process playbooks for the product development lifecycle and guided Junior developers on best practices.
  • Analyzed operational data from SAP to generate insights through Power BI dashboards and scalable warehousing solutions.
  • Using MFT, Shell Scripts, Orchestration tools, and SQL, led end-to-end data pipeline development, including data ingestion, UAT validation, and dashboard creation, improving forecasting accuracy visibility and reducing manual effort.
  • Managed Power BI deployment pipelines to support self-service analytics and parallel report development workflows.
  • Automated Americas Inventory Financial reporting, saving ~500 hours annually through data pipeline integration and Power BI.
  • Enhanced demand planning by developing an SAP IBP data pipeline, improving demand forecast accuracy and visibility.

Cargill Protein – North America Corporate FSQR Data Systems (Wichita, KS)

Product Owner, Data Analyst (Remote)
October 2021 – October 2023

  • Created custom SQL queries and Power BI reports to extract real-time insights from PostgreSQL databases for food safety monitoring.
  • Implemented SPC charts using R within Power BI to meet customer compliance requirements.
  • Led a digital transformation initiative by developing a React-based app to digitize audits, saving $1.5 million annually.
  • Collaborated with developers on business requirements gathering and feature testing to enhance data collection processes.
  • Built a DataDog monitoring dashboard, increasing error detection success rate to 99%.

Cargill Protein – Ready to Eat Division (Timberville, VA)

Food Safety and Quality Supervisor
August 2020 – October 2021

  • Conducted time series analysis on freezer operations, establishing quality control limits that enhanced product safety and operational efficiency.
  • Developed a water sampling program that reduced annual expenses by $30,000.
  • Streamlined shop floor audits by eliminating redundant processes, enhancing regulatory compliance and operational efficiency.

Select Breeders Services (Chesapeake City, MD)

Horse Care and Facility Supervisor
January 2019 – July 2020

  • Managed daily operations of equine facilities, ensuring smooth logistics and high standards of care.

SKILLS

  • Data Engineering: Azure Databricks, ETL/ELT Development, Data Integration, Data Warehousing, Data Modeling
  • Programming & Query Languages: SQL, Python, R, Power Query (M)
  • Cloud & Data Platforms: Azure, Snowflake, Hadoop, PostgreSQL, SAP IBP
  • Business Intelligence: Power BI, SSRS, Semantic Models, DAX
  • DevOps & Development Tools: Azure DevOps, GitHub, Docker
  • Databases: PostgreSQL, MongoDB, Data Lake Architectures
  • Project Delivery: Agile Development, Requirements Gathering, UAT Testing, Technical Documentation
  • Leadership & Collaboration: Stakeholder Management, Change Management, Strategic Planning

EDUCATION

Bachelor of Science in Animal Science
Penn State University, State College, PA (2014 – 2018)