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Owns end-to-end data pipelines for default management, building scalable warehouses with Oracle and DataStage while integrating AI to speed up development and ensure data protection.
Builds and optimizes cloud data lakes and pipelines using Databricks and CI/CD, ensuring data quality and documentation for analytics.
Build AI-powered data workflows in Snowflake for a bank: integrate LLMs via Cortex, design RAG pipelines, and ship Streamlit features that help engineers and business users query and analyze financial data.
Builds and maintains scalable data pipelines for large language models in healthcare, transforming medical datasets and enabling model training/evaluation on Snowflake and AWS.
Build and maintain big-data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank serving 36M customers.
Design and build scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot, while maintaining big data infrastructure on Cloudera and GCP.
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Build and maintain Azure-based data pipelines and analytics solutions using Azure Data Factory to enable data-driven decisions for a large insurer.
Lead a team to design and maintain scalable data products for Schibsted’s Mobility, Real Estate, Jobs, and Recommerce verticals using a Data Mesh approach.
Designs and builds scalable data pipelines in Snowflake for a global insurer, focusing on performance tuning and cost-efficient architecture while ensuring data quality and security.
Builds and maintains Python-based pipelines to extract, validate, and model financial data from SEC EDGAR XBRL filings for in-house use.
Senior Data Engineer builds and maintains cloud-based data platforms using Snowflake and major cloud providers to enable data-driven decision-making for global clients.
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
Designs event-driven data architectures and data contracts for a media company, ensuring scalable, reliable data flows and schema governance.
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.
Build and maintain scalable data pipelines and ETL/ELT processes using Python, Apache Airflow, Spark, and GCP services like BigQuery and Cloud SQL for HSBC’s data platform.
Design and maintain Azure-based data pipelines for security analytics, using Data Factory, Databricks, and DevOps practices to ingest and process data across multi-cloud environments.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Senior Data Engineer builds and maintains a secure cloud data platform using Azure, Databricks, and Synapse, designing pipelines and models to deliver analytics and reporting for a Geneva-based institution.
Senior Data Engineer designs and builds scalable data platforms using Snowflake, SQL, Python, and cloud services to enable data-driven decision-making for global clients.
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