Open to opportunities

Angel Serrano

@angelserrano

Message

Senior backend & data platform engineer specializing in scalable real-time streaming architectures.

Chile

Message

What I'm looking for

I want to build and modernize scalable backend and data platforms—especially real-time streaming with strong observability—while owning end-to-end architecture, guiding technical decisions, and improving reliability and delivery speed.

I’m a Senior Backend & Data Platform Engineer with 5+ years building distributed systems, scalable backend services, and batch/real-time data processing platforms using Java and Python. I lead technical decisions, design end-to-end architectures, and deliver solutions aligned with business objectives.

At Scotiabank, I modernized core banking systems by migrating batch architectures to real-time streaming with Apache Kafka and Spring Boot, cutting latency by 99% and enabling real-time operational decision-making. I’ve also designed and scaled event-driven systems processing 12M events/day, improved reliability by reducing incidents, and increased delivery velocity by 30% through API-first design, Hexagonal Architecture, and strong observability practices.

Experience

Work history, roles, and key accomplishments

Current

Data Platform Engineer

Current

Scotiabank

Aug 2023 - Present (2 years 10 months)

Led modernization of core banking systems, migrating batch processing to Apache Kafka real-time streaming with Spring Boot, reducing latency 99% (24h to seconds) and enabling real-time operational decision-making. Designed and scaled event-driven distributed systems for 12M events/day, improving performance and reducing production incidents 20%, and increased delivery velocity 30%.

Apache Kafka Spring Boot Kafka Streams Event Driven Architecture Distributed Systems Microservices Hexagonal Architecture Observability

Software Backend Engineer

VASS Consulting

Dec 2022 - Aug 2023 (8 months)

Developed 20+ backend microservices using Java (Spring Boot), Python (FastAPI), and TypeScript (NestJS) supporting 15K–30K daily users. Optimized API performance and database queries, cutting response times 75% (2s to 500ms) and improving integration data processing efficiency 30%, while increasing system reliability.