David De Lange
About
David De Lange is from Germany. David is currently Senior Data Engineer at TRILUX, located in Arnsberg, North Rhine-Westphalia, Germany. David also works as Senior Data Engineer at Ranger, a job David has held since Jan 2025. Another title David currently holds is Founding Engineer at Climate Accountability API.
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David De Lange's current jobs
路 Design and implement a cross-platform Intelligent Pricing application using historical turnover. 路 Responsible for the pricing algorithm, backend architecture, data pipelines and continuous delivery.
路 Consolidate and serve unified Sales Partner data using Dagster and a FastAPI Python backend. 路 Responsible for backend API design and security, ETL architecture and application uptime.
路 Develop a scalable non-profit ESG data product from scratch including data collection and ESG ranking. 路 Responsible for DataOps, backend architecture and cloud infrastructure.
路 Combine IaC and GitOps for production-ready cloud infrastructure with automated release processes. 路 Responsible for Product Scalability, Observability and Reliability. 路 Improve Developer Productivity, DevEx, DevOps and DataOps.
路 Set up robust and reproducible Data Engineering practices and Machine Learning operations. 路 Design and implementation of a fully auto-scaling backend and data processing architecture that are ISO 27001 compliant and ready for international roll-out. 路 Productization and optimization of Computer Vision models used in a medical product for orthopedic analysis. 路 Leader of pilot projects like the design and development of an API integration including the onboarding of the first customer.
路 Responsible for Product Strategy and Development, Reliability and Scalability. 路 Establish sustainable tech processes and operations: MLOps, GitOps, ITOps, kOps, DevSecOps. 路 Conceptualization & implementation of our data processing infrastructure on a bare-metal autoscaling Kubernetes cluster (mixed CPU/GPU), fully reproducible using Terraform as infrastructure-as-code framework. 路 Design and implementation of a fully auto-scaling data pipeline for processing terabytes of unstructured data. 路 Consolidation of a database with millions of entities and relations (focus on global customs data) and enrichment with additional external data in order to increase transparency of global supply chains for a leading US Supply Chain Intelligence company.
路 End-to-end owner of multiple web-based information retrieval models serving major clients (Audi, Bosch, Siemens, Unilever), from research to product delivery. 路 Creator and owner of a supplier ranking model using recent deep learning techniques, from PoC to Product. 路 Main developer of a company entity resolution framework combining a hybrid sequence- & token-based string similarity measure with a set-theory approach. 路 Leader of the certificates & standards extraction and consolidation project in the Data Governance Guild.