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Architect and build real-time data pipelines for programmatic advertising using Python, SQL, and data warehousing, integrating AI technologies to process millions of ad transactions daily.
Senior Data Engineer builds scalable Google Cloud data platforms using BigQuery, SQL, Python, and modern data architectures to enable data-driven decisions for global clients.
Own and optimize Azure-based data platforms, ETL pipelines, and reporting layers to deliver scalable data solutions and insights for HR tech.
Manage Azure-based data pipelines and Power BI reporting to deliver distributor performance insights and ensure data quality across reporting layers.
Builds and maintains data pipelines for internal apps and trading analytics in an energy-focused fintech company using SQL, Python, and Airflow.
Builds automated financial reconciliations and reporting by extracting, transforming, and loading data from ERP and finance systems using SQL and BI tools.
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Build and maintain scalable Azure-based data pipelines and Databricks-powered analytics platforms for a Swedish energy utility, enabling data-driven decisions and AI solutions.
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake and Azure to support anti-financial-crime analytics and reporting for PwC’s global clients.
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Data Engineer migrates and maps GIS data into a proprietary model using Python and ESRI tools.
Build and maintain a modern data platform for a Nordic bank using Snowflake and DBT, delivering trusted data for AI-driven customer-facing solutions.
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Build and maintain cloud-based data pipelines and Lakehouse architectures using Azure, AWS, Databricks, and PySpark to deliver clean, scalable data for analytics and AI teams.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data models, and automated compliance systems for a fintech POS-financing platform using Snowflake, Airflow, dbt, and AWS.
Build and maintain scalable data pipelines on GCP to power analytics and AI features for Box’s content-management platform, using BigQuery, Spark, and Python.
Designs and maintains scalable data pipelines using Apache Spark and Scala for a global consulting firm, focusing on ETL workflows and big-data infrastructure.
Lead a data engineering team to migrate and modernize a media company’s data platform on GCP using PySpark, while removing technical bottlenecks and guiding architectural decisions.
Maintains Linux/Windows servers, databases, and contributes to IoT projects for an HR software company.
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