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Designs and builds cloud-native data lake and warehouse solutions using Python, Java, and Google Cloud Platform in a hybrid work environment.
Customer Success Manager role to onboard clients and guide them to full platform autonomy, collaborating with Account teams for complex clients.
Build and maintain Java-based web applications using Spring, React, and Oracle databases for a Milan-based IT services firm.
Senior Data Engineer builds AI-powered data products in Parma, designing pipelines and collaborating with ML teams to deliver scalable solutions.
Builds full-stack features in React, Next.js, and TypeScript with Supabase for Pillar’s AI-driven financial platform serving construction SMEs.
Build and optimize data pipelines in PySpark on Databricks, design cloud-based data models, and integrate relational databases to power Generative AI systems for an ecommerce retailer.
Build and optimize Python-based data solutions using Pandas, NumPy, and SQL to support financial industry workflows.
Designs and builds Azure-based analytics pipelines and Databricks solutions for enterprise cloud transformations.
Lead a team of engineers building and scaling data systems for a fintech company, aligning technical strategy with business goals.
Builds and maintains data pipelines, warehouses, and lakes using SQL, Python, and Spark for an international product team based in Rome.
Full-Stack Technical Lead coordinates external teams and internal stakeholders to build and maintain customer-facing digital platforms using modern architectures like microservices and event-driven systems.
Builds and maintains data pipelines using Python, Spark, and SQL on Google Cloud or AWS for a financial-services project.
Freelance Data Engineer role building ETL pipelines and Python scripts for clients, with remote or hybrid work options in Italy.
Designs and builds enterprise-scale cloud data architectures on AWS and GCP, develops ETL pipelines, and manages data workflows using SQL, Spark, and Databricks.
Build and maintain an insurance-focused data platform and ETL pipelines in Python to ensure reliable, high-quality data for business processes.
Builds enterprise Java microservices and full-stack apps using Spring and Angular, collaborating with technical and business stakeholders.
Builds and maintains distributed systems for GNSS interference monitoring and deploys RAG/LLM pipelines for space and government missions using .NET Core or TypeScript/Node.js and Angular/React.
Designs and builds modern data pipelines on Google Cloud Platform using PySpark, SQL, and GCP tools for global clients.
Builds energy-simulation models and Digital Twins for buildings, applies ML and rule-based logic, and creates dashboards to track energy performance.
Designs and builds batch and near-real-time data pipelines on-prem and in the cloud for a large bank, focusing on data quality and governance within a DataOps framework.
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