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Build and maintain data pipelines and architectures to consolidate customer data for marketing activation, using tools like Airflow, BigQuery, and dbt.
Builds and maintains GCP-based data pipelines, ingesting and transforming data while ensuring regulatory compliance and data quality.
Build and maintain a federated lakehouse platform for a LatAm SaaS group, transforming siloed data into trusted, auditable domains that power real-time financial decisions across Chile, Mexico and Argentina.
Builds and maintains ETL/ELT pipelines on Azure for a Chilean bank, using Databricks, Synapse, and Data Factory to move and transform financial data.
Designs, builds, and optimizes ETL pipelines into a data warehouse, ensuring data quality and pipeline robustness while collaborating with data science and analytics teams.
Build and maintain a federated data lakehouse for a LatAm SaaS group, transforming siloed data into governed, multi-region domains that power analytics, APIs, and AI agents for accounting, payroll, and e-invoicing apps.
Builds cloud data pipelines and analytics tools on GCP, integrating systems with Python, SQL, and ETL workflows.
Build and maintain robust data pipelines and platforms that power analytics and business decisions across fintech, logistics, and edtech domains using SQL, ETL/ELT tools, and data warehouses.
Build cloud data pipelines and analytics tools for retail planning, integrating legacy systems with modern cloud platforms like GCP to power inventory and sales decisions.
Build and maintain data pipelines and AI solutions for a renewable-energy company, using Python, Power BI, and cloud platforms like MS Fabric.
Builds and maintains scalable data pipelines using Python, PySpark, Airflow, and cloud data warehouses on AWS/Azure to process large volumes of data.
Design and build AWS-native data pipelines, optimize Redshift/S3 storage, and automate ETL with Python/SQL for a global client.
Builds and maintains data pipelines, integrates systems, and ensures secure data architecture for an e-commerce platform using SQL/NoSQL, Python, Go, and cloud tools like AWS and Azure.
Designs and maintains AWS-based data pipelines and Redshift warehouses, transforming raw data into insights using Python, SQL, and infrastructure-as-code.
Designs and optimizes scalable data pipelines for LATAM Airlines’ sustainability and corporate data, ensuring quality, traceability, and compliance for analytics and reporting.
Mentor developers and lead software projects using React.js and .NET Framework in a hybrid role based in Santiago, Chile.
Build and maintain robust data pipelines in GCP using Python, SQL, and tools like Airflow and Spark to ingest, transform, and monitor large-scale datasets.
Build and maintain ETL/ELT pipelines and data warehouses on AWS, using Python, SQL, and PySpark to deliver clean datasets for analytics and reporting.
Builds and integrates data platforms on Azure, designing medallion architectures and ETL pipelines for enterprise clients.
Builds and modernizes a healthcare admin app: migrates legacy PHP/Python to Node.js, writes React 18 UIs, and connects SQL Server 2022 with GCP services.
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