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Build and maintain scalable data pipelines for e-mobility, transforming raw data into clean, reliable datasets for analytics and operations using Python, PySpark, and AWS services.
Designs and builds Azure-based ETL/ELT pipelines using Databricks, PySpark, and ADF to move and transform data from relational and cloud sources.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
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.
Designs, tests, and maintains complex data pipelines in AWS using PySpark/Java, Python, and Databricks for Spark workloads.
Designs and builds scalable data pipelines using Hadoop, Spark, and Python to process large datasets for clients across industries.
Builds and maintains data pipelines on Azure and Databricks to power analytics and AI products for a public-transport company.
Senior Data Engineer designs and builds scalable ETL/ELT pipelines and distributed data architectures (cloud, on-prem, or hybrid) using Python, PySpark, and SQL for modern data platforms.
Builds, tests, and maintains data pipelines using Python/PySpark and AWS, with a focus on Databricks and Apache Spark for HR-tech job-matching.
Build and maintain data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.
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.
Builds and maintains data pipelines using Python, PySpark, SQL, NoSQL, and cloud platforms to ingest, process, store, and visualize data for clients.
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.
Builds and maintains Linux-based data pipelines using Python, Spark, and VMware, automating workflows for mission-critical environments.
Designs, builds, and maintains scalable, high-performance data pipelines using Python, Spark, Hadoop, and Airflow for a product-focused team in Torino.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Owns global underwriting data tables and optimizes AI-ready data pipelines using SQL, PySpark, Python, AWS, Terraform, and Kafka.
Freelance Data Engineer builds and maintains data pipelines using Python, PySpark, SQL, NoSQL, and cloud platforms for clients in Italy.
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.
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