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Build and maintain data pipelines using Microsoft’s stack (Azure Data Factory, Synapse, Fabric) to integrate and transform data for analytics and AI solutions.
Builds and maintains analytical data models with dbt, designs ETL/ELT pipelines, and delivers reporting solutions in MicroStrategy.
Build and optimize GCP-based ETL/ELT pipelines using BigQuery and Dataflow for enterprise clients in Spain.
Build and maintain cloud data infrastructure, orchestrate ETL/ELT pipelines, and support AI initiatives for a creative transformation agency.
Builds and maintains end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark/Databricks to power modern analytics platforms.
Build and maintain data pipelines, warehouses, and AI integrations for Emburse’s travel and expense SaaS platform using Snowflake, Databricks, AWS, and Looker.
Designs and maintains scalable data pipelines using Databricks, Azure Data Factory, and cloud platforms to deliver data-driven solutions in a hybrid Madrid role.
Build and maintain secure, reconciled ETL/ELT pipelines in AWS to migrate large-scale customer and financial data, using SQL, Python, and Snowflake.
Build and optimize cloud data pipelines for analytics using Azure Data Factory, Databricks, and Power BI to enable strategic decision-making for enterprise clients.
Design and build ETL/ELT pipelines with Databricks and PL/SQL on Oracle, automate data workflows, and create MicroStrategy dashboards for business analytics.
Designs and builds scalable data platforms (lakehouse, ETL/ELT pipelines) and ensures data quality to power AI/ML workflows in a hybrid, international environment.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Build and maintain AI-focused data pipelines and cloud architectures, using Python, SQL, and AWS tools to feed and optimize machine-learning systems.
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow, and Spark in a product-focused team.
Build and maintain data pipelines and models in Databricks and BigQuery to integrate CRM, marketing, and finance systems and power revenue analytics for a SaaS business.
Build and maintain data pipelines and models in Databricks and BigQuery to power revenue analytics and forecasting for a SaaS-like product company.
Build and maintain data ingestion/ETL pipelines using Python, PySpark and Spark, load into Redshift, and support BI reporting in a growing product team.
Build and maintain scalable data pipelines for a major bank using Java, Spark, and cloud-based Hadoop tools like Cloudera.
Build and maintain data pipelines in Python and Airflow to ensure BigQuery data remains accurate and traceable for a European scale-up.
Design and build scalable Snowflake-based data pipelines and warehouses, optimizing ELT workflows and collaborating with business teams to deliver reliable, high-performance analytics solutions.
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