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Builds cloud data pipelines (ETL/ELT) on GCP/Azure with Databricks to feed CRM and marketing analytics for PwC’s Consumer Markets, Financial Services, and Energy/Utilities clients.
Build and maintain Databricks-based data pipelines and AI-ready data products, integrating structured and unstructured data for analytics, reporting, and AI use cases.
Build and optimize ETL/ELT pipelines, data warehouses, and Power BI dashboards to turn operational data into actionable insights and process improvements using Python, Azure, and Microsoft Fabric.
Build and optimize ETL pipelines, data warehouses, and Power BI dashboards in Azure and Microsoft Fabric to turn operational data into insights that improve business processes.
Builds and maintains data pipelines and ETL/ELT workflows to migrate legacy systems to modern architectures using SQL and optional dbt.
Builds and maintains the company’s end-to-end data platform, focusing on Microsoft Fabric, Power BI, and Dynamics 365 to deliver reliable analytics and reporting for Finance and business decisions.
Builds scalable ETL/ELT pipelines and data warehouses in Azure and Fabric, then turns that data into interactive Power BI dashboards to drive business insights.
Builds cloud-native data pipelines and analytics platforms on AWS/GCP/Azure and tools like Databricks and Snowflake, focusing on real-time and batch ETL/ELT workflows.
Designs and maintains GCP-based data pipelines and transformations using BigQuery, Dataform, and Looker for analytics.
Designs and builds cloud data pipelines, warehouses, and lakes, and implements GenAI/Defender AI solutions while ensuring data governance and security.
Build and maintain data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data for analytics and reporting.
Build and maintain data pipelines and analytics infrastructure using Python, SQL, and Databricks to support mobility-focused product 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 and builds Azure-based ETL/ELT pipelines using Databricks, PySpark, and ADF to move and transform data from relational and cloud sources.
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.
Designs and builds scalable, secure GCP data pipelines and ETL/ELT workflows using BigQuery, Dataflow, and Spark to support analytics and AI-driven solutions.
Build and maintain ETL/ELT pipelines on Databricks using Python, Scala, and SQL for a consulting client.
Designs and maintains data pipelines, ETL/ELT workflows, and BI dashboards to turn raw data into actionable insights for AI-driven projects.
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