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Designs, builds, and maintains scalable, high-performance data pipelines using Python, PySpark, and PostgreSQL for a product-focused team in Torino.
Build and integrate secure, scalable data pipelines using Python, Cloudera CDP/CDSW, and Spark for financial analytics and risk modeling.
Build and optimize Python-based analytics pipelines for a sovereign wealth fund, using libraries like pandas, PySpark, and scikit-learn to process large financial datasets.
Build and maintain secure, scalable data pipelines using Python, Cloudera CDP/CDSW, and Spark for financial analytics and risk modeling.
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python, designs star-schema models, and implements data quality and CI/CD frameworks to power analytics.
Build ML models for B2C banking: propensity scoring, NLP on client feedback, credit-limit management, and churn prediction, then ship production-ready code via MLOps pipelines.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Builds scalable data pipelines and AI/ML models for anti-financial-crime systems, using Python, LLM frameworks, and GCP tools to enable intelligent automation and agent-based solutions.
Build and run a European sales-reporting data product in Azure, owning pipelines, transformations, and Power BI outputs that help Sales and Finance make decisions.
Builds and optimizes Azure Databricks Lakehouse pipelines using PySpark and SQL Server to transform and deliver data for BI teams.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Build and maintain ML models and data pipelines in Python and PySpark on AWS SageMaker, focusing on product recommendations and customer churn prediction.
Build and deploy generative AI agents, RAG systems, and ML models end-to-end using Python, LangChain, and Azure OpenAI to drive healthcare analytics and business impact.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Lead a team to design and build scalable cloud data platforms and AI infrastructure using Python, PySpark, SQL, and Azure services.
Lead a team to build and govern scalable data platforms for JLL’s Capital Markets unit, integrating real-estate data for analytics, AI/ML readiness, and automated insights.
Designs reporting solutions with Microsoft Dynamics, builds Power BI dashboards, and creates scalable data products using SQL and PySpark.
Build and maintain Azure-based data and ML pipelines for Burger King, Popeyes, and Tim Hortons, focusing on Databricks, Azure ML, AKS, and MLOps workflows.
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