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Designs and maintains data pipelines and warehouses for fundraising, integrating CRM and marketing tools to support analytics and reporting.
Build and maintain data pipelines, warehouses, and BI dashboards in Azure and Snowflake to support global strategic decisions.
Designs and builds AWS-based data platforms and pipelines for enterprise clients, using Python, PySpark, and Terraform to enable scalable, governed analytics and cloud-native data architectures.
Designs and builds scalable ETL/ELT pipelines and distributed data architectures for warehouses, lakes, and lakehouses while collaborating with technical and business teams.
Designs, manages, and operates Soldo’s data warehouse and ETL pipelines using SQL, Python, and related tools while collaborating with BI and data science teams.
Lead technical analyst for client data migrations, designing SQL/Python pipelines to map and load legacy data into new systems while ensuring accuracy and scalability.
Designs and maintains secure data-integration pipelines using Informatica PowerCenter/IICS, applies data-masking to protect sensitive data, and collaborates on ETL/ELT workflows in enterprise environments.
Senior data engineer leading projects on Databricks, Snowflake and dbt, while mentoring junior engineers and training teams across Italy and Spain.
Builds real-time data pipelines and warehousing for a digital shopping marketplace using Spark, Kafka, and AWS.
Designs and builds scalable data pipelines, cloud-native data platforms, and production-grade AI solutions in Python/SQL on AWS, partnering with data scientists to industrialize models.
Builds and maintains data pipelines and warehouses for a global fundraising program, integrating CRM, payments, and marketing data.
Designs and maintains data pipelines and platforms for a tissue/paper industry partner, integrating factory systems and enabling analytics and AI use cases.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Build and maintain data pipelines, ETL workflows, and a modern Data Lake using Spark, Airflow, Delta Lake, and Parquet to power analytics and business intelligence for an energy/utilities company.
Build and optimize Google Cloud data pipelines, including batch/real-time processing, ML model integration, and data quality KPIs for BI, APIs, and databases.
Build and optimize data platforms for clients in automotive, energy, and finance using tools like Informatica PowerCenter and Oracle SQL Server.
Designs and builds modern data platforms and big-data pipelines on Google Cloud Platform using Python, PySpark, and Terraform, following Medallion Architecture and data-governance best practices.
Design and build scalable data pipelines and analytics solutions on Google Cloud Platform, focusing on BigQuery, Dataform, and LookML to enable data-driven decision-making for clients.
Build and maintain data pipelines, a SQL Server data warehouse, and Power BI dashboards to support business decision-making at a trade association.
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