DATA · CLOUD · ENGINEERING LEADERSHIP
Tech Lead · Data Engineer · Cloud Architect
I design cloud-native data platforms, lead engineering teams, and turn complex data into products people can trust.
Based in Chile · Relocating to the EU, with Spain as my first choice
ENGINEER BY CRAFT. LEADER BY PRACTICE.
I’m a hands-on data and cloud engineering leader with a career shaped by curiosity: from IT support and web development to large-scale data platforms. Today, I pair architecture and delivery with the practical work of helping teams do their best work.
Most of my platform work is on Google Cloud: data lakes and lakehouses, batch and streaming pipelines, governance, and cloud-native services. I’m also exploring applied AI and GenAI architectures.
I’m looking for a data leadership or architecture role in the European Union, especially Spain. I can fund my relocation; I’m looking for an employer able to support the required work visa.
A few chapters of my journeyFROM PIPELINES TO PLATFORM LEADERSHIP
A career across retail, technology and distributed teams, with a steady focus on making data useful, governed and production-ready.
Coherent Solutions · Client: Grubhub — California, US · Remote
Designed and delivered scalable pipelines processing millions of records; supported marketing gift card and restaurant data domains, integrated Braze data for segmentation, maintained production SLAs, and mentored engineers on a distributed US/Europe team.
Falabella — Chile
Led and mentored three engineers while designing a lakehouse for near-real-time operations and batch analytics. Owned data modeling and governance, established Dataplex controls and lineage, and built a company-wide Python ingestion microservice on Cloud Run. Optimized Spark workloads to stabilize hundreds of jobs per hour.
Walmart — Chile, supporting Walmart Mexico
Built batch and streaming data pipelines for search and recommendation machine-learning systems, delivering retraining datasets with PySpark on Dataproc and Apache Beam on Dataflow.
Falabella — Chile
Built and operated GCP data lake ingestion for batch and streaming sources, created curated views for self-service analytics, and automated data pipelines for predictive models.
Contributed to a GCP pipeline transition and built clean data pipelines for data science use cases.
Developed PHP and JavaScript applications and integrated web-form data into BigQuery.
Supported Windows Server, IIS, networking and developer environments.
Started my career in systems analysis, freelance IT consulting and technical support.
A PRACTICAL TOOLKIT FOR COMPLEX DATA
Technology is only useful when it solves the right problem. I connect sound design decisions to maintainable systems and empowered teams.
Data lakes, lakehouses, warehouses and analytics-ready modeling.
Robust batch and near-real-time pipelines, orchestration and ingestion frameworks.
Cloud-native systems, microservices, clean architecture and C4 documentation.
Data quality, access controls, lineage, team mentorship and technical direction.
CREDENTIALS
PERSONAL PROJECTS & EXPLORATION
An end-to-end benefits and offers portal, from automated offer ingestion to a deployed web experience.
Exploring 4-bit Qwen2.5-1.5B-Instruct fine-tuning with Unsloth and LoRA using domain-specific content.
Exploring RAG, vector search, embeddings, agent tool-calling and the Model Context Protocol.
THE FULL PICTURE
Tech Lead | Data Engineer & Cloud Architect · Valparaíso Region, Chile · Open to EU relocation (Spain preferred)
Data engineering and cloud architecture leader experienced in designing and building large-scale data lakes, lakehouses, batch and streaming pipelines, and cloud-native microservices. Combines technical architecture with hands-on delivery, data governance and team leadership. Primary platform: Google Cloud Platform.
Designed and delivered scalable pipelines processing millions of records. Managed marketing gift card domain data under US regulations, integrated restaurant data via Braze API for segmentation, maintained production SLAs and mentored engineers on a distributed team.
Led and mentored a team of three. Designed a lakehouse for near-real-time operations and batch analytics; owned conceptual, logical and physical modeling; implemented Dataplex governance (policy tags, access control and lineage); documented C4 architecture; built a company-wide Python ingestion microservice on Cloud Run; optimized Dataproc Spark workloads to stabilize hundreds of jobs per hour.
Led data engineering for search recommendation systems. Built PySpark batch ETL/ELT pipelines on Dataproc and Apache Beam streaming pipelines on Dataflow to supply machine-learning retraining datasets.
Built and managed the GCP data lake, designed batch and streaming ingestion, created business views for self-service analytics and automated pipelines for Data Science predictive models.
Helped transition data pipelines to Google Cloud and deliver clean datasets for data science use cases.
Built PHP and JavaScript web applications and integrated web-form ETL into BigQuery.
Supported Windows Server, IIS, networks and developer environments.
Systems analysis, freelance IT consulting and technical support.
Designed and deployed a Chilean offers portal with automated ingestion from local institutions using FastAPI, Next.js, Docker and Azure Cosmos DB (MongoDB API).
Hands-on learning with Qwen2.5-1.5B-Instruct fine-tuning using Unsloth and LoRA; exploring RAG, vector search, embeddings, agent tool-calling and MCP.