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Designs and builds scalable data pipelines and cloud-native systems using Hadoop, Spark, Java, and IaC tools to enable data-driven architectures.
Design scalable Big Data and Cloud architectures using Hadoop and Spark, integrating systems with governance and optimizing performance and security.
Build and optimize data pipelines using Spark, Scala, Python, and AWS to enable analytics and ML workflows for clients.
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 scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
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.
Build and optimize distributed Big Data pipelines and ETL workflows using Java, Apache Spark, Kafka, and Cloudera for financial-sector clients.
Design and build modern data platforms and scalable AI ecosystems for global clients using Spark, Hadoop, Kafka, and cloud/on-prem environments.
Designs, builds, and maintains scalable, high-performance data pipelines using Python, PySpark, and PostgreSQL for a product-focused team in Torino.
Designs and maintains scalable data pipelines and cloud infrastructure for clients in telecom, media, finance, automotive, and consumer sectors using Python, Spark, Kafka, and cloud platforms.
Designs, builds, and optimizes large-scale data pipelines using Hadoop, Spark, Java, and Python to process massive data volumes efficiently.
Build and maintain backend components for real-time security analytics in distributed systems using Java, Kafka, and NoSQL, onsite in Rome.
Build and maintain backend components in distributed systems using Java, Kafka, Storm, Hadoop, Elasticsearch, and Cassandra; mentor junior developers.
Build and integrate secure, scalable data pipelines using Python, Cloudera CDP/CDSW, and Spark for financial analytics and risk modeling.
Develop and maintain Python-based software, fix bugs, and improve system performance while collaborating with teams on project updates.
Build and maintain secure, scalable data pipelines using Python, Cloudera CDP/CDSW, and Spark for financial analytics and risk modeling.
Build and maintain Python-based asset-management tools, integrate data pipelines, and support legacy systems while ensuring financial compliance and scalability.
Responsible for leading and overseeing the Data Analytics, AI Engineering, and Data Engineering teams within PT SID. This role exists to drive data-driven decision-making by providing actionable insights, implementing…
Design and build scalable data pipelines and warehouses, clean and transform raw data, and collaborate with teams to deliver analytics-driven solutions for public-sector products.
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