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Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
Designs enterprise AI solutions on cloud platforms, aligning architecture, security, and data governance with business needs using AI frameworks like TensorFlow/PyTorch.
Build and deploy ML models to improve fintech products, turning data insights into decisions with Python, R, and cloud tools.
Lead the design and implementation of machine learning models and analytics to shape workforce development strategies using Python, TensorFlow, and SQL.
Lead the design and implementation of data science solutions to address complex university challenges, using Python, R, and ML frameworks.
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
Lead SAP Business Objects data engineer building BO Universes, WebI reports, and dashboards for a federal government client, while driving data governance and master data management.
Lead a team to design and deploy AI and data-science solutions that improve healthcare services, using Python, ML frameworks, and cloud platforms.
Design and build data pipelines and warehouses to support policy analytics for Building Commission NSW using Python/Java, SQL, and cloud/big-data tech.
Lead a team modernizing Western Power’s data systems, integrating legacy Oracle/Informatica with Snowflake and dbt to shift toward a federated, domain-driven architecture.
Build and maintain cloud-based data pipelines and warehouses for a property-management SaaS, enabling analytics and reporting across the business.
Build and maintain scalable data pipelines for Roku’s ad-auction platform, ensuring reliable, high-performance data flows for digital advertising.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for enterprises, using Python/Java/Scala, Spark, Airflow, and cloud platforms like AWS/Azure.
Designs and builds data pipelines, warehouses, and dashboards to integrate and report on anti-corruption data for a government agency.
Design and build data pipelines and cloud-based architectures to power analytics and reporting for Australia’s largest independent media company.
Design and build data pipelines and maintain an Enterprise Data Warehouse for an insurance company using Snowflake, DBT, AWS, and SQL.
Design and build scalable data pipelines on Google Cloud Platform using BigQuery and Dataflow to enable analytics and reporting for enterprise clients.
Lead a team of data engineers to design, build, and optimize data pipelines and warehouses using Python, SQL, and cloud platforms like AWS/Azure.
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