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Senior DevOps Engineer designs and maintains Unity’s global, multi-cloud infrastructure using IaC, Kubernetes (GKE), and CI/CD pipelines to automate deployments and enhance operational efficiency.
Senior DevOps Engineer at Unity Technologies in Copenhagen designing and managing Kubernetes-based infrastructure with CI/CD pipelines and AI-driven automation.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
Build full-stack and cross-platform software (web, mobile, desktop, XR) for research projects, integrating hardware, APIs, and AI tools while collaborating with scientists and students.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
Build 3D robotics simulation scenes in Lucky Engine (C#/Unity-like) to generate training data for AI robots, using assets, scripting, and sensors.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Build and ship production-grade agentic AI systems on Azure AI Foundry and Databricks for an Australian insurer, owning architecture, pipelines, orchestration, and stakeholder communication.
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Designs and builds scalable data pipelines and platforms using Databricks, Python/Scala/SQL, and multi-cloud infrastructure to support analytics and reporting for enterprise clients.
Build and maintain scalable data platforms and AI pipelines using Databricks, Delta Lake, and PySpark on cloud platforms like Azure, AWS, or GCP.
Build and govern a unified semantic data layer for finance, HR, procurement and compliance using Databricks, dbt and PySpark to power self-service analytics and AI agents.
Build and maintain Azure-based ELT pipelines and data architecture for a fintech lending platform, working closely with analysts and data scientists to support credit decisioning and analytics.
Technical Lead designs and builds scalable Java/Spring Boot applications, RESTful APIs, and integrates systems using SQL, DevOps, and Agile practices for enterprise clients in Australia.
Build and maintain enterprise-scale data platforms using Databricks, Spark, and ETL/ELT pipelines for large-scale data ingestion and integration.
Lead a data engineering team to build and operate a secure, scalable Databricks lakehouse on Azure for banking analytics, AI, and regulatory reporting using Kafka, dbt, and Unity Catalog.
Designs and leads enterprise-scale AI and cloud data platforms for an airline industry client, leveraging Azure services like Databricks, OpenAI, and Delta Lake.
Designs and leads enterprise-scale cloud data platforms and AI systems for an airline, focusing on Azure, GenAI, and modern data architecture.
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