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Senior Data Engineer builds and maintains ELT/ETL pipelines, optimizes Google Cloud Platform and BigQuery, and ensures reliable data for BI, channels, and finance teams at a retail bank.
Build and maintain a modern data platform on Google Cloud Platform using Lakehouse and Medallion architecture, creating scalable pipelines and analytics-ready datasets for business teams.
Build and maintain scalable GCP data pipelines to transform raw data into reliable assets for analytics and business use.
Designs and maintains GCP-based batch and streaming data pipelines, enabling advanced analytics and BI dashboards with tools like Power BI and Looker.
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.
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