Allan Veloza

Designed and developed scalable Java/Spring Boot microservices for Scotiabank's core Real-Time Fraud Detection Engine, processing high-volume transaction streams via Kafka. Built robust software solutions using Java, Spring Boot, SQL Server, Azure Cloud, GCP, Kafka, and IBM MQ, and performed testing and release validation to ensure stable deployments.

Led a 4-person development team to architect and deploy the Magneto Queue Management / Customer Flow microservices platform using Angular and Spring Boot. Provided technical leadership on software architecture, development standards, and clean coding practices, and managed task allocation and project timelines.

Oversaw and tracked 20+ daily SAS/ETL workflows for the ICS system, achieving 99.9% job completion accuracy and minimizing production downtime. Checked database operations and debtor volume control processes to maintain data accuracy and operational stability.

Resolved software defects, analyzed production issues, and supported ongoing system maintenance initiatives, reducing production incidents by 30% and improving overall platform stability. Gathered and defined software requirements in collaboration with end users and stakeholders.

Enhanced REST API modules and backend image-processing services for credit applications, reducing average response times by 30% and improving reliability in document custody workflows.

Improved SOAP and REST web services for enterprise applications by improving API reliability, integration efficiency, and backend service maintainability.

Master of Science in Data Analysis from Universidad Central, completed in 2022.

DevOps Certification from The University of Chicago, completed in 2021.

Postgraduate Specialization in Business & E-Commerce from Universidad de Cundinamarca, completed in 2018.

Bachelor of Science in Systems Engineering from Universidad de Cundinamarca, completed in 2017.

Cloud Computing Certification from Escuela de Organización Industrial.