27 years keeping enterprise data fast, reliable, and online.
I’m Paul Perez — a senior data engineer who spent nearly three decades building and running the pipelines, platforms, and reporting that large organizations depend on every day. Now I bring that same discipline to independent consulting, paired with hands-on AI-assisted analytics.
Paul Perez
Tampa, FL · Senior Data Engineer, ETL & SQL Development
A career built on making data platforms people can trust — and, more recently, on making them smarter with AI.
I’m a senior data engineer with 27+ years of experience designing, optimizing, and automating enterprise-scale data platforms across on-premises and Azure cloud environments — including systems supporting 4,000+ databases. My background spans SQL Server, ETL development, Python automation, and data warehousing, with a track record of improving performance, reliability, and delivery speed through scalable pipelines, DevOps practices, and BI solutions.
Most recently, that’s meant architecting data lakes and enterprise data warehouses, building Azure DevOps CI/CD pipelines that raised platform reliability and release consistency, and delivering BI reporting used at the executive, operational, and client-facing level. I’ve led teams, mentored DBAs, and tuned performance across large, heterogeneous database environments — and I bring the same care to consulting engagements today, now with a strong focus on AI-assisted analytics and business-driven data solutions.
Where this expertise was built
- Designed and implemented scalable ETL pipelines and data architectures using SQL Server, Python, PowerShell, SSIS, and REST APIs, improving data retrieval efficiency by up to 80%.
- Built and maintained Azure DevOps CI/CD pipelines, automating deployments and increasing platform reliability and release consistency.
- Architected data lakes, data marts, and enterprise data warehouses to support evolving analytics and reporting needs.
- Developed BI solutions using Power BI, SSRS, Sisense, and Excel for executive, operational, and client-facing reporting.
- Tuned performance across large, heterogeneous database environments, improving query execution, stability, and scalability.
- Optimized application lifecycle management across Azure and VM-based environments, reducing deployment times by approximately 70%.
- Designed and supported Azure IaaS and PaaS infrastructures for development, QA, and production workloads.
- Collaborated closely with development teams and mentored DBAs on automation, performance tuning, and cloud best practices.
- Led a DBA team managing 50+ SQL Servers and 2,000+ databases across multiple environments.
- Designed ETL solutions integrating CRM, billing, and operational systems.
- Built internal tooling and data warehousing processes to support performance monitoring and analytics.
- Designed and maintained mission-critical SQL Server platforms, automation frameworks, and enterprise reporting solutions.
- Implemented high-availability, disaster recovery, and security architectures supporting 24/7 operations.
The stack I work in
Languages
Databases
ETL & Integration
Cloud & DevOps
BI & Analytics
Platforms & Tools
Credentials
- Master’s Degree, Theology — Spring Hill College
- Bachelor of Science, Computer Science (Minor: Business Management)
- Microsoft SQL Server Certification
- Certified Professional Scrum Master (PSM)
- Advanced Coursework: Python, Data Science, AI, Financial & Hotel Analytics
- Microsoft Azure Conference — Atlanta, GA
- Certified Novell Network Engineer
Connect on LinkedIn
The fastest way to see my full work history, recommendations, and current activity — or to reach out directly about an engagement.
linkedin.com/in/paul-perez-5b119283 ↗Request more information
Tell me a bit about what you’re working on — a data platform that needs attention, a reporting process that’s still manual, or an AI-assisted analytics project you’re considering. I’ll follow up directly.