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Lead a hybrid team designing and maintaining scalable, high-quality GCP data pipelines using Python and SQL for Thales' cloud infrastructure.
Lead a team building scalable, compliant AI and data platforms, collaborating with data scientists and engineers to industrialize solutions for enterprise transformations.
Designs and optimizes AI/ML algorithms on Google Cloud’s Vertex AI, builds scalable data models, and mentors engineers using Python and SQL.
Lead the operational execution of Allianz Technology’s Data Governance framework, coordinating compliance and data quality across global teams and regulated environments.
Lead a team to build and maintain Phoenix Medical Supplies' data platform using Microsoft Fabric, modernizing their data estate and enabling analytics and insights.
Senior Data Engineer builds and leads a healthcare-focused Azure Databricks data platform using PySpark, Python, SQL, and Delta Lake, mentoring junior engineers and ensuring production-grade pipelines.
Lead a team to design and build cloud-based data pipelines that migrate legacy systems to modern, scalable infrastructures while ensuring reliable data delivery and governance.
Lead a team building scalable cloud data pipelines and ETL workflows to migrate legacy systems to modern platforms like Databricks or Snowflake.
Build and operate Klarna’s AWS-based data platforms, designing scalable pipelines and warehouses for analytics and ML using Spark, Iceberg, Redshift, and Databricks.
Lead Vodafone Ireland’s data governance roadmap, defining standards and ownership to ensure trusted, high-quality data for analytics, AI, and reporting across the telco’s operations.
Leads architecture and delivery of secure, scalable KYC data platforms using Python, PySpark, and cloud services to support risk assessment and compliance in a regulated environment.
Leads global finance data governance at Coca-Cola, defining standards for master data like cost centers and profit centers to ensure consistent, trusted financial reporting and analytics.
Leads the AI-driven data governance platform at a major U.S. bank, defining product vision and delivery for smarter financial decisions.
Lead a team building a cloud-based data platform for Barclays’ Private Bank & Wealth Management using Databricks, PySpark, and AWS to support a multi-year transformation.
Lead the end-to-end data platform for a global DTC brand, building scalable pipelines and AI-driven workflows to power revenue decisions from high-volume consumer data.
Lead a team to design data pipelines and deliver analytics for PwC’s advisory, tax, and assurance services, mentoring staff and owning project delivery end-to-end.
Lead a team to design, build, and optimize data pipelines and infrastructure for a large bank, using Hadoop, Spark, Kafka, and AWS services to process and monetize financial data.
Lead a team of data engineers building and optimizing data pipelines for J.P. Morgan’s Corporate Sector, ensuring reliable data flows for analytics and decision-making.
Lead the build of a cloud-scale data platform from ingestion to warehouse, designing real-time pipelines and AI-powered analytics for a global fintech trading platform.
Lead a team to design, build, and maintain scalable data pipelines and distributed processing systems using Spark, Scala, and Hadoop for clients in an ESN setting.
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