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Architects and maintains real-time data pipelines for a cross-border payments platform, sets data quality standards, and drives AI-first workflows while mentoring engineers.
Builds and optimizes data pipelines and models in Snowflake using dbt and SQL to power Zendesk’s customer-support analytics tools.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Design and build a next-gen, real-time data pipeline for GitGuardian’s secrets detection platform, migrating from batch to streaming and adding agentic AI layers.
Build and deploy modern data architectures (Snowflake + dbt) and ETL/ELT pipelines in Python/SQL, while mentoring peers and optimizing cloud costs for clients across France.
Build and scale a cloud-native data platform on AWS, driving real-time analytics, personalization, and AI-powered data products for millions of users.
Staff Backend Engineer to lead Depop’s data platform, building scalable pipelines, data lake, governance, and real-time analytics using Python/Scala, Spark, Kafka, and cloud platforms.
Lead the design of data-quality, observability, and governance frameworks for Depop’s marketplace data, ensuring reliability, GDPR compliance, and fast incident resolution.
Lead the design and maintenance of Spark-based data pipelines and data lakes at a product-focused company, transforming varied datasets for infrastructure needs.
Build and own a scalable data platform for regulatory reporting in a fast-growing fintech, integrating batch/streaming pipelines and microservices to submit accurate outputs to regulators.
Designs and maintains scalable data pipelines for a London-based insurance company using SQL, ETL tools, and cloud infrastructure.
Staff Data Engineer designs and reviews low-level data platform architectures in Azure/Databricks, ensuring scalable, secure, and maintainable solutions for Severn Trent’s data pipelines and governance.
Build and maintain scalable data pipelines and warehouses for a fast-growing InsurTech, using cloud platforms and ETL tools to deliver clean, reliable data for analytics and business decisions.
Staff Data Engineer at King designs and builds scalable data pipelines and databases using Java and Python, with a focus on MySQL and PostgreSQL.
Build and optimize distributed data pipelines and data lakes to normalize varied partner datasets using Apache Spark and modern data architectures.
Lead the data team to build and scale infrastructure for a robotics AI platform, designing pipelines, managing datasets, and enabling ML model evaluation and reliability for pilots and production.
Build and own large-scale distributed data pipelines using Airflow/Dagster, Spark, dbt, Kafka, and AWS to power global retail analytics and decision-making.
Build and scale robust data pipelines in Python and GCP to process healthcare claims, ensuring fraud detection and operational efficiency for a healthtech startup.
Build and own OKX’s Finance Data Platform, designing scalable pipelines for trading data, P&L, and regulatory reporting while ensuring audit-ready accuracy and AI-native automation.
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