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Builds and maintains web applications using Python and Flask for a client of this Italian tech-consulting firm.
Build and maintain data pipelines, BI models, and automated reports for a global fintech company using Python, SQL, and Power BI.
Build and own data pipelines and BI models for a global FinTech firm, automating reporting and analysis using Python, SQL, and Power BI.
Designs, builds, and deploys cloud data pipelines and analytics solutions using Java/Scala/Python and SQL/NoSQL for a major Italian broadcaster.
Build and maintain big-data pipelines using Cloudera, Scala/Python/Java, and AWS/Azure; set up CI/CD for data workflows in an on-premise environment.
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.
Build and maintain web apps using TypeScript, React.js, Node.js, and Scala while collaborating with designers and clients to deliver secure, high-quality products.
Senior Data Engineer builds and optimizes scalable data pipelines and systems using Hadoop, Spark, Java, and Scala, while mentoring peers and leading technical designs for data-intensive applications.
Designs and builds scalable, secure GCP data pipelines and ETL/ELT workflows using BigQuery, Dataflow, and Spark to support analytics and AI-driven solutions.
Data Engineer at an IT consulting firm in Turbigo, Italy, building pipelines and models with Spark, Scala, Python, and NoSQL to turn raw data into business insights for clients.
Leads Big Data projects for a finance client, designing scalable pipelines and architectures using Cloudera/Databricks, Spark, Kafka, and Python/Java/Scala.
Build and maintain ETL/ELT pipelines on Databricks using Python, Scala, and SQL for a consulting client.
Designs and builds scalable data pipelines on Databricks and Azure, bridging data engineering with data science needs for enterprise clients.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Designs and scales backend services and data pipelines for a smart sleep technology company, integrating hardware, ML, and mobile platforms using Java/Scala/Kotlin, Python, or NodeJS/TypeScript.
Build and optimize Google Cloud data pipelines, including batch/real-time processing, ML model integration, and data quality KPIs for BI, APIs, and databases.
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 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.
Designs and manages end-to-end data pipelines in cloud and on-prem environments to build UniSalute’s new data platform, using ETL tools, Databricks, AWS services, and BI dashboards.
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