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Designs and builds ETL pipelines and data integrations using BigQuery, Cloudera/Hive, and SQL Server to move and transform data for analytics and reporting.
Builds automated pipelines to clean, standardize, and generate scientific product content from a custom SQL/VB.NET platform, reducing manual entry and errors for Waters’ regulated life-sciences catalog.
Build and maintain scalable pipelines that turn raw satellite data into reliable, high-quality geospatial products for governments and businesses.
Build a global data platform using Microsoft Fabric to centralize and govern healthcare data for Vitrolife & Igenomix Brasil.
Builds automated pipelines to clean, standardize, and generate scientific product content from a custom SQL/VB.NET platform, using Python, Spark, and cloud tools.
Builds and scales an Excel tool integrated with Databricks, automating reports and dashboards to deliver pricing insights for a global analytics team.
Technical Data Engineer at Airbus Helicopters creating and maintaining IETM data modules for aeronautical documentation, ensuring compliance and accuracy with engineering modifications.
Build and maintain MicroStrategy dashboards and optimize BigQuery data models in Google Cloud to deliver actionable business KPIs and ensure data reliability.
Build and maintain the data platform’s ingestion, transformation and quality services using Kafka, Spark/Flink and DevOps practices to support high-volume gaming platforms.
Build semantic data layers and knowledge graphs that power enterprise-scale AI systems using graph architectures, data ingestion, and semantic modeling.
Build and maintain data pipelines, ETL processes, and analytics solutions using Palantir Foundry, Python, Spark, and data visualization tools.
Migrate stock valuation from Teradata to Google BigQuery and build financial simulations for accurate corporate reporting in an agile, cross-functional team.
Build and maintain Appfire’s Snowflake-based data warehouse and metrics layer using dbt, SQL, and Python to create trusted, self-service analytics that drive company-wide decisions.
Build and maintain scalable data pipelines and Python software to transform climate science into production-ready datasets and APIs, collaborating with climate scientists to deliver risk products.
Designs and builds scalable data pipelines using PySpark and Python to ensure data quality and traceability for a product team.
Builds and maintains a modern data platform using Python, SQL, Airflow/Dagster, and Snowflake to power analytics and reporting for a crypto company.
Senior Data Engineer builds scalable pipelines and models to power real-time analytics for a global AI-driven voice platform serving 22,000+ customers.
Lead data engineering for an AI platform, designing scalable AWS infrastructure and ensuring AI-ready data solutions while setting governance and quality standards.
Build and maintain large-scale data pipelines in Go and ClickHouse to process petabytes of marketing data, enabling SEO and adtech insights for global users.
Build and maintain the data platform that powers high-volume gaming services, using Java/Python, Kafka, Spark/Flink, and DevOps practices to ensure reliable ingestion, transformation, and data quality.
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