Freelance Data Engineers in Charlotte
Freelance Data Engineers in Charlotte
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Wayne Richard
Co-built Insulintel through From Truck To Tech, LLC, an AI-powered application designed to turn complex health data into understandable, actionable insights. My work focused on the data and intelligence layer, including Snowflake data architecture, curated data models, business logic, verified queries, and Cortex-powered natural-language analytics. The project demonstrates taking a data and AI concept beyond a prototype into a working, user-facing product.
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76
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Andres Perez
Data Pipelines & Automation Example
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Roham Pourmehr
End-to-End Microsoft Fabric Development
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Michael Jeffreys
Sonar Data Processing & Underwater Target Mapping
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Wayne Richard
Designed, built, and supported production ETL pipelines that integrated data from multiple operational systems into Snowflake. I used SQL, Matillion, APIs, and automated workflows to transform and validate data, implement quality checks and exception handling, monitor scheduled jobs, troubleshoot failures, and deliver reliable data for reporting and analytics.
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Michael Jeffreys
A FastAPI and React application for processing sonar data and mapping underwater targets. Includes GIS-based spatial analysis, target detection algorithms, and an interactive frontend for reviewing mapped results. Delivered with a PowerShell setup script for one-command environment provisioning and built to production-ready standards with a clean handoff-ready codebase. Stack: FastAPI · React · Python · GIS
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Wayne Richard
Built an AI-powered analytics solution in Snowflake using Cortex to give business users natural-language access to trusted operational data. I created semantic models, verified queries, business rules, and curated views, then organized multiple Analysts under a single Agent so users could ask questions across different subject areas and receive governed, consistent answers.
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Wayne Richard
Built data-quality and reconciliation processes to identify discrepancies across operational and reporting systems. Used SQL and Snowflake to trace records through source-to-target logic, isolate data issues, validate business rules, and create repeatable checks that improved confidence in downstream reporting.
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Wayne Richard
Built a revenue forecasting solution in Snowflake to turn historical operational data into a repeatable forward-looking forecast. I prepared and transformed the data in SQL, engineered time-based and business features, tested multiple forecasting approaches, and used walk-forward backtesting plus forecast-vs-actual analysis to evaluate accuracy, bias, and performance over time.
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