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Build and maintain scalable data pipelines and ETL processes in Python and SQL, using Snowflake, Airflow, and Kafka to deliver high-quality commodity-market data for analytics and AI-driven insights.
Build and maintain scalable data pipelines on Databricks Lakehouse for JPMorgan’s Payments Technology team, enabling trusted datasets and governed data products.
Build and maintain scalable cloud data pipelines for an automotive intelligence platform using Azure, Databricks, PySpark, and Delta Lake, integrating AI features to support dealerships worldwide.
Lead the design and delivery of cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance operations.
Lead a team engineering cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance systems.
Build and maintain scalable data pipelines on Databricks for J.P. Morgan, writing Spark jobs and SQL to deliver trusted datasets while ensuring governance and security.
Principal Data Engineer designs scalable cloud-native data platforms and leads technical direction for Very’s data transformation, using AWS, Python, and SQL.
Design and build enterprise-scale data platforms using cloud services, Python, Spark, and modern data tools to enable AI-driven analytics and business transformation.
Leads a team of data engineers to build and scale Microsoft Fabric and Azure-based data platforms, setting technical standards and aligning data strategy with business goals.
Lead a team to modernize Allianz UK’s data platforms, migrating legacy systems to cloud-first environments like Databricks and embedding DataOps practices to drive data-driven decision-making across the organization.
Lead a team of data engineers to build and maintain Zoopla’s scalable data platform using Python, SQL, AWS, Redshift, Databricks, and Airflow.
Build and optimize data pipelines using PySpark, Azure Databricks, and cloud platforms to deliver scalable analytics solutions for enterprise clients.
Senior Consultant designs and delivers modern data platforms using Microsoft Fabric, Azure Databricks, and Power BI, leading client engagements to turn data into business insights.
Designs and builds scalable data pipelines and models in Databricks using SQL, Python and PySpark to modernize an enterprise data platform for analytics and AI.
Senior Data Engineer builds and optimizes Databricks-based pipelines for a global hospitality brand, turning raw data into trusted insights for analytics and decision-making.
Build and maintain Azure-based data pipelines, dashboards, and reports for PING Europe’s cloud ERP/CRM systems, turning business questions into trusted insights.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Build and maintain scalable data pipelines and platforms using Python, SQL, and Databricks to consolidate enterprise data for analytics and reporting.
Build and maintain Python-based APIs and data infrastructure that power energy-market analytics and an LLM-driven AI Analyst, using AWS, Terraform, and streaming systems.
Design and build scalable data platforms, including databases, ETL/ELT pipelines, and data warehouses, to support analytics and BI for large-scale services.
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