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Senior Data Engineer maintains and troubleshoots enterprise data pipelines on Azure, ensuring reliable data delivery for LATAM operations and analytics.
Builds and maintains ETL pipelines and data warehouses using Python (PySpark) and Azure Synapse Analytics for a consulting firm.
Senior Data Engineer maintains and troubleshoots enterprise data pipelines on Azure, ensuring reliable data delivery for LATAM reporting and analytics across business channels.
Build and maintain ETL pipelines using Python and PySpark on Azure Synapse Analytics for a data-focused consultancy.
Designs and builds scalable data platforms using Snowflake, Databricks, and ETL/ELT tools for global clients, while advising stakeholders on architecture and governance.
Lead a team to design, build, and optimize Databricks-based data pipelines and AI architectures for enterprise clients, ensuring scalable data ingestion, processing, and visualization while mentoring engineers.
Design and build modern data pipelines and analytics platforms using Azure services like Data Factory, Synapse, and Datalake to integrate and model enterprise data for real-time insights.
Build and maintain Microsoft Fabric/Azure data pipelines and BI solutions for clients, focusing on ETL/ELT, data governance, and Power BI dashboards.
Build end-to-end data pipelines and cloud-native analytics platforms for finance and consulting clients, using AWS/Azure/GCP, Python, Spark, and MLOps tooling.
Design and build large-scale BI and data analytics solutions using Azure Synapse, Data Factory, Databricks, and Power BI for enterprise clients in Malta.
Build and maintain scalable data pipelines on Azure and Microsoft Fabric, from ingestion to analytics, using Azure Data Factory, Synapse, and Fabric components.
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Build and maintain scalable Azure data pipelines using Azure Data Factory, Synapse, Databricks, and Fabric to transform raw data into actionable insights for BI and analytics teams.
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Designs and runs Azure-based big-data pipelines using Spark, Hadoop, and Azure services to ingest, process, and store data for analytics and AI projects.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Build and maintain end-to-end data pipelines on Azure Data Factory and Microsoft Fabric, integrating large-scale data from APIs and databases to support airline operations.
Builds and maintains a Microsoft Fabric/Synapse data warehouse, ETL pipelines, and Power Platform solutions to consolidate Dynamics 365, Salesforce, and SQL data for BI and AI use-cases.
Design and build Snowflake-based data warehouses and ETL pipelines for enterprise clients, using SQL and cloud tools to deliver clean, scalable data solutions.
Build and maintain modern data pipelines in Azure and Microsoft Fabric to power analytics, reporting, and ML models for an e-commerce agency.
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