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Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Designs and maintains scalable data architectures, ETL pipelines, and ML data workflows to support NLP training data transformation for a global language-services provider.
Lead the design and architecture of Kueski’s data platform, ensuring scalable, high-quality data systems using Python, SQL, Spark, and AWS.
Lead the architecture and evolution of Kueski’s data platform, designing scalable batch/streaming pipelines and AI-centric solutions while setting engineering standards and mentoring teams.
Designs and builds scalable backend connectors for ERP, banking, payments, and tax systems, and contributes to a cloud-based data platform with event bus, APIs, and job scheduling.
Build and govern Agoda’s semantic layer for conversational analytics: model metrics, dimensions, and APIs that power consistent answers for applications and agents.
Build and scale Checkr’s end-to-end data platform, own core pipelines, and mentor engineers to power the AI-driven background-check product.
Build and scale Checkr’s centralized data platform to power identity products like Workforce and Mortgage, owning pipelines, architecture, and data-driven features.
Build and scale Cloudera’s cloud-native streaming data platform, owning features from design to production while collaborating with backend, frontend, and UX teams.
Build and scale Checkr’s core data platform that powers identity and background checks for Uber, Airbnb, DoorDash and others, using PySpark, Kafka, AWS and modern data stacks.
Leads the architecture and scaling of Yuno’s data platform, building high-volume payment pipelines and AI-driven observability solutions while mentoring engineers.
Architect and build core data platform services for enterprise Master Data Management, creating APIs and integration frameworks to establish trusted identities and golden records at WEX.
Architect and evolve WEX’s data platform, focusing on Master Data Management and AI-driven data quality to ensure trusted enterprise records and scalable pipelines.
Designs and owns Checkbox’s data infrastructure and AI platform architecture to support agentic-first SaaS for legal teams.
Build scalable data pipelines and infrastructure using Python, Scala, and cloud services (AWS) to support analytics and decision-making.
Designs and builds scalable data pipelines and warehouses using Snowflake, dbt, Python, and AWS services to power analytics and automation.
Build and lead a modern data platform in Amsterdam, enabling self-service and AI initiatives while engineering scalable data solutions and productionising data products.
Build and evolve a global-scale data platform used by hundreds of engineers for analytics, ML, and real-time systems, focusing on distributed compute, storage, and streaming architectures.
Build and scale a low-latency data platform for cross-border payments using StarRocks, Flink, dbt, and Airflow while leading architecture and mentoring engineers.
Build and scale a cloud-native data platform using Databricks, Spark, and AWS to power analytics and ML at a data-driven tech company.
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