Alberto Jesus

Architected AWS-to-Snowflake data pipelines for healthcare SaaS and EHR workloads, reducing end-to-end analytical data latency by an estimated 30%. Provided staff-level technical direction and mentored engineers on production data-engineering practices.

Built and operated AWS-to-Snowflake batch pipelines, reducing batch data-delivery latency by an estimated 28%. Implemented incremental processing patterns and automated pipeline dependencies, validation, retries, and failure handling.

Engineered and maintained production relational database environments on Windows, supporting EHR workloads across on-premises and AWS infrastructure. Led performance investigations for Microsoft SQL Server, improving response time for targeted high-cost workloads by an estimated 25%.

Developed and maintained Microsoft SQL Server databases using T-SQL, including DDL, DML, functions, stored procedures, and ad hoc queries for SaaS EHR application and operational data workflows. Refactored stored procedures and application queries, reducing runtime for selected slow-running workloads by an estimated 23%.

Performed end-to-end SaaS EHR validation using functional, regression, system, UAT, performance, architecture, and security testing. Built and maintained a data-driven test automation framework with Ruby on Rails, Watir, and Microsoft SQL Server, reducing repetitive manual validation effort by an estimated 25%.

Troubleshot Coremetrics web analytics technology across application, operating system, database, network, and client website layers, reducing repeat escalations through structured root-cause analysis. Resolved support cases through phone, email, and ticket channels while maintaining consistent SLA performance.

Bachelor of Science in Business Administration with a focus on Management Information Systems.