DATA ENGINEER · AI & MACHINE LEARNING
I build data pipelines & AI that scale.
3+ years building ETL/ELT pipelines and data platforms on the cloud — and the machine learning and AI layer that runs on top of them.
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About Me
I'm a Data Engineer with 3+ years building ETL/ELT pipelines and data platforms, focused on AI and machine learning in production. Most of my work lives on Google Cloud — ingesting from APIs and the open web, landing it in BigQuery, modeling it with dbt, orchestrating it with Airflow, streaming it through Kafka, and packaging everything in Docker so it runs the same everywhere.
On top of that foundation I ship the ML and AI layer: training and serving models, sentiment analysis pipelines, and LangChain agents and RAG systems wired into real databases and APIs.
I've delivered for remote teams across the United States, Australia, Spain, Mexico, Chile and Argentina — building data infrastructure and leading analytics projects end to end.
Languages
Certifications
Certified Data Analyst
Tableau
Data Cloud Consultant
Salesforce
Education
Software Engineering
Jala University, USA
In progressBachelor of Science in Economics
San Simon University, Bolivia
2022SECTION 2
What I Do
ETL / ELT Pipelines
End-to-end ingestion, transformation and modeling. Raw sources to analytics-ready layers, incremental loads, data quality tests and dimensional models.
AI & Machine Learning
LangChain agents and RAG over company data, sentiment analysis and predictive models with KNIME and scikit-learn, served through APIs and scheduled workflows.
Orchestration & Cloud
Airflow and Kestra pipelines on GCP, event streaming with Kafka, provisioned with Terraform and deployed through CI/CD.
Scraping & Automation
Resilient extraction against dynamic sites and APIs. Headless browsers, async collection, retry and rate-limit handling, plus event-driven workflows with n8n.
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Tech Stack
Python
SQL
Go
Bash
Docker
Terraform
Linux
Git
GitHub Actions
pandas
NumPy
Polars
PySpark
SQLAlchemy
Pydantic
FastAPI
pytest
Google Cloud
BigQuery
Snowflake
Airflow
Kestra
dbt
Kafka
PostgreSQL
MongoDB
DuckDB
MotherDuck
Data Cloud
LangChain
scikit-learn
KNIME
AI Agents
RAG
n8n
Playwright
Sentiment
Tableau
Power BI
Looker
evidence.dev
Plotly
GA4
Tag Manager
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Experience
Data Analyst
Holley — Bowling Green, Kentucky, USA
- Data pipelines and analytics on Snowflake with Python & SQL
- Automation of recurring reporting and data workflows
- Analytics for the automotive & performance parts business
Data Specialist
Remote, Mexico
- Data pipelines to Salesforce Data Cloud with GCP, S3 & Snowflake
- Unified data sources with identity resolution capabilities
- Tableau dashboards connected to Data Cloud
- Sentiment analysis implementation with KNIME
Data Analytics Team Leader
Remote, Argentina
- Led analytics team with agile methodologies
- Dashboards & reports using Tableau, Power BI, SQL & Python
- Predictive models for forecasting & planning
- End-to-end project management
Analytics Engineer
Remote, Chile
- Interactive Tableau dashboards for stakeholders
- ETL with SQL & Python
- Performance metrics aligned to business goals
Tableau Instructor
Remote, Spain
- Tableau training from basic to advanced level
- Data storytelling & UX best practices
Data Analyst
Remote, Australia / USA
- Power BI dashboards & KPI tracking
- Web analytics with GA4 & Google Tag Manager
- Data-driven recommendations for business strategy
BI as Code: The Revolution You Need to Know
ValdezData
From API & Low Code to Insights
ComuniDatos User Group
First Steps with DuckDB
Data Wizards Club
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Contact
Let's work on your
next project
I'm open to remote data engineering roles, consulting projects and collaborations in data and AI. If you have an interesting challenge, let's talk.
Bowling Green, Kentucky · Open to Remote
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