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Design and build distributed data architectures (Hadoop) and ETL/ELT pipelines (Spark/Python/Scala) to ingest and process large datasets for analytics.
Build and maintain the data pipelines that power Vibe.co’s streaming-TV ad reporting, ensuring accurate, real-time campaign metrics for advertisers.
Build and maintain robust data pipelines, ensuring quality and integrity, while collaborating with clients to optimize their data infrastructure using tools like Spark, Kafka, and cloud services.
Build and maintain data pipelines for a major banking client: design ETL workflows, feed analytical datamarts, troubleshoot issues, and support business users with SQL and documentation.
Design and build cloud-based data platforms using Snowflake, migrate legacy systems to the cloud, and create scalable ELT pipelines for analytics and data products.
Builds and maintains AI-powered data pipelines and BI dashboards in Python and Dagster, ensuring GDPR compliance for healthcare decision-making.
Designs and builds cloud data pipelines using Microsoft Fabric and Azure, optimizing for DevOps and FinOps in finance, insurance, and retail sectors.
Build and maintain the global data platform that powers Octopus Energy’s energy trading, forecasting, and risk operations using Python, SQL, Kubernetes, and AWS.
Build and maintain Pennylane’s data analytics platform, designing scalable ETL pipelines and data models to power company-wide decision-making for 900k+ SMEs and accountants.
Build and maintain data pipelines in Microsoft Fabric, centralize student, marketing, and LMS data into a secure lakehouse, and deliver Power BI dashboards for admissions, marketing, and academic performance.
Build and maintain scalable data pipelines using Talend and Google Cloud Platform (BigQuery, Dataflow, etc.) to deliver reliable data solutions for client projects.
Design and build scalable Azure-based data pipelines and analytics platforms using Fabric, Databricks, and Synapse, with CI/CD automation and DevOps best practices.
Build and maintain robust data pipelines and a health-data warehouse for a large public hospital, ensuring data quality, security, and compliance with health-sector regulations.
Build and maintain ETL/ELT pipelines and data models to integrate and transform customer data, then load it into warehouses/lakes for analytics and BI tools like Power BI.
Senior Data Engineer building scalable data pipelines and Lakehouse architectures on Databricks and AWS, using Spark, Python, and ML tools to deliver end-to-end data solutions for enterprise clients.
Designs and maintains data pipelines and dashboards for Safran Aircraft Engines, ensuring reliable ingestion and visualization of aerospace manufacturing and performance data.
Build and maintain robust data pipelines and cloud infrastructure for enterprise clients, using Python/Java/Scala, SQL/NoSQL, Spark, Kafka, and AWS/Azure/GCP.
Build and maintain data pipelines, model data in BigQuery with dbt, and migrate to GCP and Looker while ensuring data quality and collaborating with BI and business teams.
Build and refactor a robust data warehouse and ETL pipelines for a French training institution, integrating legacy ERP/CRM systems (Cegid XRP, Microsoft Dynamics, AMMON) to stabilize and industrialize data flows.
Build and optimize Scala/Spark data pipelines for a major railway client, including design, performance tuning, CI/CD, and documentation.
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