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Designs and maintains enterprise data catalogs, lineage, and access controls to ensure compliance and data security across organizations.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Validates data pipelines, ensuring accuracy and production readiness using SQL and Python; builds reconciliation frameworks and documents data lineage.
Build Databricks pipelines and migrate data from Amazon Redshift to Databricks using AWS S3, Glue, and Athena while implementing data governance practices.
Build and scale Adyen’s on-premise big-data platforms (500+ nodes, 23+ PB storage) using Java, Python, Spark, Kafka, and Druid to power real-time analytics and data pipelines for 10s of products.
Designs and deploys Microsoft Purview data governance solutions on Azure, ensuring compliance and optimizing data lineage.
Design and implement data quality solutions using Collibra, Python, and PL/SQL to ensure trusted enterprise data for analytics and reporting in a large multinational organization.
Designs and maintains Splunk data pipelines for a DoD Zero Trust Edge project, focusing on edge processing, telemetry integration, and secure data transport for threat hunting.
Build and maintain an Azure-based data platform, ensuring data quality and lineage while collaborating with teams to deliver structured reports and solutions.
Builds and maintains an Azure-based data platform, ensuring data quality and lineage while collaborating with teams to deliver reports and solutions.
Engineers Splunk data pipelines and edge processors to ingest, filter, and tag DoD telemetry for Zero Trust analytics and compliance reporting.
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory to process large datasets for analytics and AI initiatives.
Design and build SQL Server-based data pipelines and enterprise data warehouse for a European bank, modernizing legacy systems with Python, Airflow, and Azure while ensuring regulatory compliance.
You design and build data pipelines, model business data, and advise clients on becoming data-driven using Azure, SQL, and Python.
Lead a data engineering team to build and maintain robust pipelines and warehouses for a healthcare search engine used in hospitals, primarily using Python, Prefect, and SQL.
Builds and optimizes data pipelines for AI products and customer solutions, focusing on scalability, data quality, and security while collaborating with cross-functional teams.
Build and maintain ETL/ELT pipelines, data models, and a modern data warehouse to deliver reliable, secure datasets that power business decisions at a cash-infrastructure company.
Build and optimize Azure-based data pipelines and models for a bank’s liquidity and regulatory reporting, ensuring accuracy and compliance in a regulated environment.
Maintain and evolve Collibra’s data-governance platform, build self-service tooling, and integrate it with Databricks and enterprise systems using Python, Java, and Azure.
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