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Design and build cloud-native data platforms for enterprise AI, integrating SAP, ERP, and manufacturing systems while implementing DataOps and MLOps practices.
Designs, builds, and maintains ETL/ELT pipelines for banking BI projects using Semarchy xDI, ensuring high-quality, performant data flows.
Builds and maintains GCP-based data pipelines for Renault’s financial-services unit, ensuring data availability, quality, and security for analytics and regulatory projects.
Build and maintain scalable data pipelines to process terabytes of raw sensor and video data into clean, versioned datasets for training AI models powering autonomous defense systems.
Build and maintain scalable data pipelines in Scala on AWS, ensuring high throughput and data quality for a dynamic data platform team.
Design and build data architecture using Snowflake and dbt for a growing automotive team.
Build and own the data platform for an automotive company, setting up Snowflake/DBT pipelines and data warehouse architecture from scratch.
Build and optimize data pipelines to ingest and process retail and consumer-goods data, then expose it via BI dashboards for fast, scalable decision-making.
Senior Data Engineer builds enterprise dashboards and automated reports in Power BI to track IT investment portfolios, integrating data from PPM and financial systems for Michigan’s EPMO.
Build and maintain large-scale data pipelines in Scala and Spark on AWS, ensuring reliability and performance for a distributed data platform.
Build and maintain data pipelines, transform raw data into Snowflake analytics, and secure data flows with CDC, IAM, and encryption for regulated clients.
Builds and maintains data pipelines and BI integrations for banking clients using ETL tools like Semarchy xDI and SQL, ensuring reliable, high-performance data flows.
Build and maintain data pipelines and warehouses on AWS for a large energy company, using Python, Spark, and SQL to enable analytics and reporting.
Builds and maintains cloud data pipelines on Azure Databricks, industrializes ML models with MLflow and Delta Lake, and collaborates with IT and business teams.
Build and maintain reliable, secure ETL pipelines for banking clients, ensuring data quality and scalability in a Data Factory environment.
Designs, builds, and maintains GCP-based data pipelines using BigQuery, Terraform, and Airflow for automated data workflows.
Data Engineer builds and maintains data models and pipelines for a banking client, using SQL, Python/C#, and data mapping tools.
Builds secure, GDPR-compliant data pipelines using OTDH to collect, process, and serve business and data-science teams while ensuring data quality and security.
Build and maintain scalable data pipelines to clean, version, and serve terabytes of training data for autonomous defense ML models.
Senior Data Engineer builds and optimizes AWS-based data pipelines, ETL processes, and cloud data lakes to support large-scale analytics and migration in a remote role.
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