Aidan Harvey-Nelson Consulting

Transforming your data into actionable insights through expert data engineering, analytics, and AI solutions.

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About Me

Hi, I'm Aidan Harvey-Nelson, a data and analytics specialist with extensive experience in transforming raw data into strategic business value. I help organizations build robust data infrastructure, implement advanced analytics solutions, and leverage AI to drive decision-making and operational efficiency. With a proven track record of delivering enterprise-scale data migrations, real-time integration architectures, and predictive analytics models, I bring both technical depth and business acumen to every project.

My expertise spans the full data lifecycle - from architecting scalable data warehouses and implementing CI/CD pipelines to developing machine learning models that deliver measurable business impact. I've successfully led complex migrations to cloud platforms like Snowflake, built microservice architectures connecting diverse enterprise systems, and modernized development practices that have reduced deployment times and improved system reliability. Whether you're looking to unlock insights from your data, modernize your infrastructure, or implement AI-driven solutions, I'm passionate about helping organizations harness the power of their data to achieve transformational results.

What I Offer

Projects & Impact

Data Warehouse Migration Program

Completed 4 on-premises data warehouse migrations to Snowflake, leveraging real-time ingestion tools such as Kafka to minimize lag from source systems to warehouse platform. Reduced data latency by 85% and achieved 99.9% uptime.

Enterprise Integration Architecture

Completed 15+ integrations from core systems to bespoke platforms including SAP, ClassPass, OpenPath, Workday, Salesforce, and HubSpot databases using a microserver architecture. Improved data flow efficiency by 70% and reduced integration maintenance overhead by 60% through standardized API patterns.

DevOps Transformation Initiative

Modernized company's development process by implementing comprehensive CI/CD pipelines using GitLab CI, Terraform for Infrastructure as Code, and automated testing frameworks. Reduced production bugs by 78%, decreased deployment time from 4 hours to 12 minutes, and achieved 95% deployment success rate across production environments.

Predictive Healthcare Analytics

Implemented a machine learning model that accurately predicted which residents were most likely to fall, enabling proactive intervention before incidents occurred. Achieved 89% prediction accuracy and reduced fall incidents by 42% across 3 healthcare facilities, potentially preventing serious injuries for over 1,200 residents.

Certifications

Professional certifications demonstrating expertise across cloud platforms, data engineering, and modern development practices.

AWS Certified

Azure Certified

Snowflake Certified

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