Ronald Jose Suez Ascanio

Staff Software Engineer @ Walmart Chile | Data Engineering & Distributed Systems

Santiago, Chile

Staff Software Engineer leading technical teams in data engineering and distributed systems at Walmart Chile. Specialized in architecting event-driven data pipelines using Kafka, Spark, and Airflow to power marketing integrations and analytics at scale. My expertise in AI and machine learning, strengthened by a Master's in Artificial Intelligence at UNIR, enables me to build intelligent, data-driven solutions for complex business challenges.

Experience

Walmart Chile

Senior Software Engineer L4•March 2024 - Present

Lead technical team providing data pipelines and infrastructure for third-party marketing tools integration
Architect and maintain event-driven data flows using Kafka, Dataproc clusters, and orchestrated DAGs
Design scalable data architectures across distributed storage systems and cloud infrastructure
Drive technical decisions for SEO data integration during major e-commerce platform migration

Tech Stack: Scala • Kafka • Python • TypeScript • Apache Spark • Airflow

Cloud Stack: GCP Dataproc • Kafka Clusters • DAGs • Cloud Storage • BigQuery • Kubernetes

Walmart Chile

Expert Full Stack Developer•March 2022 - March 2024

Developed a tracking wrapper using GA and Google Tag Manager to analyze user behavior data for the Data e-commerce team at Walmart Chile
Led a team migrating a web chatbot app, enhancing scalability and extensibility for new chatbots

Tech Stack: Scala • TypeScript • Node.js • Next.js • React.js

Cloud Stack: GCP Dataproc • DAGs • Kubernetes • GCP • Azure

Fraccional

Founding Software Engineer•February 2023 - March 2024

Collaborated with the CTO to develop the app platform and integrate third-party services for mailing, payment flow, and legal document generation
Constructed the main analytics dashboard and administered the site for property management and customer support

Tech Stack: TypeScript • Node.js • Next.js • React.js • PostgreSQL

Cloud Stack: Vercel • Supabase • AWS

Mercado Libre

Semi Senior Software Engineer•August 2021 - February 2022

Streamlined implementation times for newcomer banks by refactoring Bank API architecture, reducing times by 60%
Mentored development teams from Colombia and Brazil, cutting implementation times by 30% for API integration with local banks

Tech Stack: Java • Spring Boot • Apache Spark

Cloud Stack: Jenkins • Fury • New Relic • Datadog

Mercado Libre

Software Engineer•December 2019 - August 2021

Designed and implemented Java, SpringBoot architecture to integrate Banks APIs to Mercado Libre's sites
Added abstract models to API Core, reducing implementation times for new bank APIs from other regions
Contributed to building the initiative from ground zero to production in seven months

Tech Stack: Java • Spring Boot • Apache Spark

Cloud Stack: Jenkins • Fury • New Relic • Datadog

Cencosud S.A.

Full Stack Developer•February 2019 - November 2019

Developed and maintained a library of components for a Next.js site, integrating with a GraphQL API
Contributed to building a back-office system for the Jumbo fulfillment process for online stores

Tech Stack: JavaScript • Next.js • React • Node.js • GraphQL

Cloud Stack: AWS • Jenkins • Kong • Lambda • API Gateway

Mediastream SpA

Full Stack Developer•May 2017 - January 2019

Contributed to the construction of OTT sites for major media companies in LATAM
Reduced development times by 40% for OTT applications using React.js and React Native
Collaborated with core team to create an agnostic builder for web and mobile apps

Tech Stack: JavaScript • React.js • React Native • Node.js • GraphQL • MongoDB

Cloud Stack: AWS • Redis • CloudFront

Personal Projects

Nimbu

Active

Comprehensive property management SaaS platform designed for real estate professionals, landlords, and property administrators in Chile. Centralizes property, lease contract, and payment management with automated workflows and intelligent notifications.

Key Features:

▸Automated rent collection and late fee tracking
▸Multi-property contract management with UF/IPC adjustment tracking
▸Real-time dashboard with KPIs and analytics
▸Intelligent notifications for contract expirations and payment reminders
▸Document management and flexible commercial contract configurations
▸Three-tier pricing model supporting up to 100 properties

Tech Stack: TypeScript • Next.js • React • Node.js • PostgreSQL • Stripe

PALS - Personalized Adaptive Learning System

Active

AI-powered adaptive learning platform that democratizes access to quality education for Chilean university admission tests (PAES). Addresses the 150-point gap between private and public school students through personalized, adaptive learning experiences.

Key Features:

▸BERTIN-based NLP model with 91.3% accuracy for automatic question classification
▸Neural IRT psychometric engine for real-time ability estimation (AUC 0.813)
▸Dynamic difficulty adjustment across 4 mathematical competencies
▸24/7 web-based platform accessible to all students
▸Supports 1000+ concurrent sessions with scalable architecture
▸Open-source models published on Hugging Face

Tech Stack: Python • FastAPI • React • TypeScript • BERTIN NLP • PyTorch • PostgreSQL

Education

Master's degree, Artificial Intelligence

UNIR - Universidad Internacional de la Rioja

Spain

October 2023 - September 2025

Bachelor's degree, Computer and Information Sciences and Support Services

Universidad Católica Andres Bello

Venezuela

2009 - 2017

Cisco Certified Network Associate (CCNA)

Cisco Networking Academy

OSI Model, TCP/IP, Routing Protocols, WAN, Wireless, Networks & Telecommunications

2012 - 2013