Data Engineer and Certified GenAI Associate Engineer with nearly 4 years of experience designing scalable data architectures, optimizing ETL/ELT pipelines, and automating data workflows. Proficient in Python and SQL, with a proven track record of leveraging Azure Databricks to ingest, clean, and transform large-scale unstructured datasets for enterprise analytics. Eager to apply strong problem-solving methodologies and cloud platform expertise to build secure, high-performance data solutions for Mayo Clinic's Advanced Data Lake.
ALEC J. VAUGHN
Summary
Core Skills
- Data Engineering: ETL/ELT Pipelines, Data Modeling, Azure Databricks, Data Cleansing & Validation, Big Data Concepts.
- Languages & AI: Python (pandas, NumPy, Azure SDK), SQL (Advanced), Generative AI, RAG Pipelines.
- Cloud & Infrastructure: Microsoft Azure (AZ-120), Google Cloud Platform (GCP) concepts, Infrastructure-as-Code (Terraform/ARM), Docker.
- Tools & Methodologies: Git Version Control, CI/CD Pipelines (GitLab/Jenkins), Root Cause Analysis, Agile/Scrum.
Professional Experience
HCLTech / SEAL Consulting (Lumen Engagement) | Remote, US
Lead Consultant / SAP Basis Administrator | Sept 2021 – Present
- Data Pipeline Development: Designed and optimized data pipelines using Azure Databricks and SQL to ingest, assemble, and analyze large-scale datasets, uncovering enterprise cost-saving opportunities through complex table joins.
- ETL Automation: Engineered Python automation scripts to extract, transform, and load (ETL) unstructured system health metrics, reducing manual data processing time by 20% and ensuring high data reliability.
- Data Quality & Troubleshooting: Executed root cause analysis and resolved complex data inconsistencies within system performance logs, performing periodic data quality reviews to ensure 100% compliance.
- AI & Data Modeling: Applied Generative AI principles and RAG concepts to build experimental data models parsing unstructured technical logs into structured formats for advanced machine learning analytics.
- Cloud Infrastructure: Supported cloud-based data platforms across Microsoft Azure, ensuring secure and scalable architecture aligned with enterprise digital transformation initiatives.
- CI/CD & Collaboration: Built automated data verification workflows and contributed to CI/CD pipelines utilizing Git branching strategies, collaborating across cross-functional teams to deliver reliable data solutions.
Goodman Telecom Services | Remote, MN
OSP Engineering Associate II | Sept 2019 – Aug 2021
- Data Integration: Developed Python scripts utilizing Google Maps APIs to automate the extraction and transformation of large-scale, unstructured geospatial data into precise engineering datasets.
- Data Visualization: Built interactive data visualizations and executive dashboards in Dynamics 365, delivering actionable insights and clear data summaries to both technical and non-technical stakeholders.
- Process Improvement: Researched new data sources and evaluated open-source GIS tools to continually improve data management processes and workflow efficiency
Preventice Solutions | Rochester, MN
DevOps Engineer | Dec 2018 – May 2019
- Infrastructure-as-Code: Orchestrated the migration of legacy systems to Azure, evaluating ARM templates and VMSS to manage scalable cloud infrastructure (comparable to Terraform deployments).
- Pipeline Automation: Refactored PowerShell deployment triggers to automate environment builds, aiding in the verification and testing of data across robust Continuous Delivery (CI/CD) pipelines.
- Database Migrations: Acted as the DevOps Subject Matter Expert for database migrations, ensuring security, integrity, and compliance across complex system architectures.
Technical Projects
Cloud-Native Portfolio Platform | Rochester, MN
Role: Full Stack Developer | 2026 – Next.js (React), Docker, Firebase (NoSQL), CI/CD
- Full-Stack Development: Built a responsive Single Page Application (SPA) using Next.js and React, integrating a Firebase NoSQL backend to manage dynamic content and user analytics.
- Containerized Deployment: Containerized the application using Docker and Terraform to ensure environment consistency between development and production, adhering to modern DevOps best practices.
- Automated Delivery: Implemented a CI/CD pipeline via GitHub Actions to automate build and deployment processes, ensuring rapid iteration and zero-downtime updates.
Education
- B.S., Computer Science (Cum Laude) | Winona State University | May 2018
Certifications
- Certified GenAI Associate Engineer | July 2025
- Microsoft Certified: Azure for SAP Workloads Specialty (AZ-120) | Nov 2024
- Lean Six Sigma White Belt | July 2024
- Certified Scrum Master | March 2020