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Build and migrate enterprise data platforms to Microsoft Fabric, designing cloud-based analytics, pipelines, and governance for large-scale transformations.
Build and scale Straumann’s AI data infrastructure, focusing on a Data Lakehouse, dataset versioning (DVC), and reliable pipelines that power dental AI products.
Build and maintain Mettler Toledo’s data platform, creating scalable pipelines and ensuring high-quality data flows for analytics and AI/ML using Databricks, Snowflake, and Python.
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI/ML models.
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI-driven investment workflows.
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Build and maintain data pipelines, ETL processes, and data lakes using GCP, Spark, Kafka, and SQL to ensure reliable data flow for analytics and reporting.
Lead a global team to build and optimize data pipelines and platforms using Python, SQL, Databricks, and cloud tools, ensuring scalable, high-quality data management for a large pharmaceutical company.
Design and implement a cloud-native data ecosystem on Azure for a credit union, using Databricks, Spark, Unity Catalog, and Purview to build secure, scalable, and compliant data pipelines and governance frameworks.
Senior Data Engineer builds and maintains cloud data pipelines using Microsoft Fabric and Azure to power analytics and compliance for a Canadian credit-union network.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands like NFL and Lululemon.
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks, designing production pipelines and reusable data products that power analytics, AI, and customer-facing dashboards.
Build and maintain backend systems in Python, RESTful APIs, and cloud services (AWS) to support healthcare data platforms, collaborating with business partners and ensuring system reliability.
Build and maintain Java-based microservices and Airflow pipelines for MSCI’s data catalog and marketplace, integrating Collibra for governance and enabling AI-driven data discovery.
Leads the creation and enforcement of data policies and standards for a national defense procurement agency, ensuring high-quality, trusted data for decision-making and digital transformation.
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