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Builds and maintains data pipelines, Data Lake, and analytics infrastructure using Spark, Airflow, Delta Lake, and Parquet to support reporting and business decisions in an energy/utilities company.
Build and maintain data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.
Build and maintain data pipelines and models for BI, ML, and AI systems at a fast-growing Italian telecom, using Python, SQL, and ETL tools.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Build and maintain data pipelines (ETL/ELT) using Python, Spark, and cloud services to feed analytics, AI, and ML initiatives for a leading Italian fintech company.
Designs and builds cloud-native data pipelines on Azure, integrating data for analytics and ML models using Spark, Databricks, and Azure Synapse.
Builds and maintains scalable data pipelines and cloud data platforms on Microsoft Azure, using Python, Azure Databricks, and Microsoft Fabric to support analytics and ML workloads.
Designs and builds Azure-based data pipelines, ETL/ELT workflows, and data lakes to feed analytics and ML models, collaborating with architects and analysts.
Designs, builds, and maintains data warehouses and ETL/ELT pipelines for healthcare analytics using Oracle SQL, Java, and Talend.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Build and maintain cloud data pipelines on GCP/AWS, integrate ML models and GenAI, and manage data warehouses/lakes for analytics and AI-driven solutions.
Designs cloud data pipelines and ETL/ELT workflows to process customer data for analytics in financial services and energy sectors using SQL, Python, and Spark.
Builds cloud data pipelines and ETL/ELT workflows on GCP/Azure using SQL, Python, and Spark to feed CRM and marketing analytics for Consumer Markets and Financial Services clients.
Build and maintain scalable ETL/ELT pipelines and data models in AWS using PySpark, Glue, and Delta Lake to power analytics and reporting for an Italian online grocery platform.
Designs and builds cloud-based data pipelines, Datalake/Lakehouse systems, and ETL/ELT workflows for clients in finance, insurance, and energy.
Designs and builds scalable data pipelines and cloud-native architectures using Python, Spark, SQL, AWS, and Snowflake to deliver enterprise-grade analytics and AI solutions for clients.
Designs, builds, and maintains data pipelines and ETL/ELT workflows for a banking-focused ICT consultancy, ensuring reliable analytics and reporting.
Designs and builds cloud-native data pipelines, ELT workflows, and data models for a data lake/warehouse to support analytics and business needs.
Designs and builds data pipelines for a banking-focused fintech, implementing ETL/ELT workflows and ensuring data quality and reliability.
Build and maintain AI-powered backend services in .NET/C# for a fintech platform that automates credit and business relationship workflows, integrating Azure OpenAI and vector search.
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