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Build and maintain data pipelines and models for a centralized data platform supporting BI and AI, using Databricks, Azure tools, SQL, Python, and Spark.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to enable analytics and AI workloads for enterprise systems.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Designs and implements cloud-native big data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Build and maintain data pipelines, a SQL Server data warehouse, and Power BI dashboards to support business decision-making at a trade association.
Design and build scalable cloud data platforms on Microsoft Azure, including BI and analytics solutions for enterprise clients in cybersecurity and other sectors.
Build and optimize large-scale data pipelines with Apache Spark and Azure, then apply ML models for forecasting and anomaly detection in enterprise domains.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Senior Data Engineer builds and maintains Azure/Fabric-based data pipelines, ETL workflows, and Power BI dashboards for enterprise clients, ensuring data quality and translating business needs into technical solutions.
Build and maintain Azure-based data pipelines, lakes, and BI integrations using Data Factory, Data Lake, SQL, and Power BI.
Build and maintain data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.
Build and maintain Azure-based data lakes and machine learning pipelines for enterprise clients using Azure Data Factory and Databricks.
Designs and builds Azure-based data pipelines, ETL/ELT workflows, and data lakes to feed analytics and ML models, collaborating with architects and analysts.
Builds and maintains data pipelines, ETL processes, and data models using Microsoft Azure tools (Synapse, Data Factory) and Python/SQL to support analytics and reporting.
Design and build BI and data analytics solutions using SQL Server, PowerBI, Azure Databricks, and related Azure services for enterprise clients in Italy.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Build and maintain scalable data pipelines and lakehouse architectures on Azure/Databricks, enabling analytics and reporting for HR and people operations.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Lead a team to design and build scalable cloud data platforms and AI infrastructure using Python, PySpark, SQL, and Azure services.
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