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Designs and builds scalable data pipelines using PySpark, Databricks, and Azure tools to transform raw data into actionable business insights, while mentoring the team and ensuring system reliability.
Build and maintain .NET-based trading systems and data pipelines for energy markets, using C#, SQL Server, Azure, and Power BI to deliver risk and financial reporting solutions.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses using Spark, Kafka, Airflow, and BigQuery to transform raw data into reliable systems for analytics and ML.
Builds and maintains Snowflake-based data pipelines and ELT models for a Swiss transport client, using dbt, SQL, Python, and Git in a hybrid setup.
Builds and maintains scalable data pipelines and warehouses using SQL, Python, dbt, PySpark or cloud tools to feed analytics and ML workloads.
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms to power enterprise analytics and ETL workflows.
Build and optimize cloud-based data pipelines and warehouses to power analytics and future AI initiatives using Python, SQL, and Azure/AWS.
Senior Data Engineer builds and optimizes Azure/Databricks SQL pipelines for a global mining company’s enterprise data platform, focusing on scalable Lakehouse architectures and Spark SQL transformations.
Leads a team to modernize Unum’s hybrid cloud/on-prem data platforms (Azure Synapse, Databricks, ADF) and pipelines, driving AI/analytics adoption while setting engineering standards, reducing technical debt, and collaborating with cross-functional teams.
Designs and delivers large-scale data and ML platforms on Azure Databricks and Azure ML for media workflows, focusing on scalable analytics, audience engagement models, and secure, responsible AI solutions.
Build and migrate scalable data pipelines in Microsoft Fabric and Azure, refactoring pandas logic to PySpark and optimizing Synapse workloads for analytics and reporting.
Design and evolve a scalable Azure-based data and analytics platform for GSK’s German organization, integrating Databricks, SQL, and Power BI to enable self-service analytics and AI-driven insights.
Build and optimize scalable data pipelines and analytics architectures using Microsoft Fabric, Azure Data Factory, and Medallion Architecture to support business intelligence and AI-driven insights.
Build and maintain Python/SQL backend services and data pipelines for a modern data platform, integrating with data lakes and lakehouse architectures.
Senior Analytics Engineer builds and maintains cloud-based data pipelines and warehouses in Azure, enabling scalable reporting and analytics for a growing, data-driven company.
Build and maintain ELT pipelines in Azure using SQL, Data Factory, and Microsoft Fabric to improve data processing and reporting for a growing international company.
Designs and governs enterprise-scale data platforms and models (Databricks, Data Vault 2.0, SQL) to power analytics, AI, and regulatory reporting for an insurance-focused fintech company.
Senior Data Engineer Consultant builds and maintains secure, scalable cloud data platforms and pipelines, focusing on data quality, governance, and AI-ready foundations for clients.
Build and maintain Databricks-based data pipelines for Mizuho’s new Data Exchange and Abstraction Layer, using PySpark and SQL to ingest, transform, and validate financial data for enterprise reporting.
Builds and scales the data platform, integrating Microsoft Fabric with Azure services and APIs to enable reliable, self-service data consumption across teams.
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