29.10.2026 aktualisiert
100 % verfügbar
Data Layer Engineer | Untangling data layer bottlenecks to build systems that scale.
Berlin, Deutschland
Nur Remote
Abgeschlossene BerufsausbildungÜber mich
Senior Backend & Database Engineer helping companies build, scale, and optimize mission-critical data infrastructure. I combine deep expertise in distributed database architecture with modern microservices and pipeline orchestration to deliver lean, performant systems.
Skills
RAGJavaScriptC#Data ArchitecturePythonMongoDBNode.jsNoSQLGolang
Operational & Analytical Databases
High-concurrency storage engines, schema design, and query optimization for transactional and analytical workloads.
High-Performance Data APIs
Production-grade API patterns, REST endpoints, and microservices engineered for low-latency data access.
Workflow Automation & Data Pipelines
Production orchestration and pipeline design connecting operational systems to analytical destinations.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
- Designed and engineered a financial-sector lakehouse architecture utilizing Trino and Apache Airflow.
- Developed a scalable, containerized RESTful API leveraging AWS Lambda and Docker.
- Advised enterprise clients on distributed database architecture, sharding strategies, and cluster scaling.
- Led a platform team of 5 Software Engineers, 1 DevOps Engineer, and 1 QA Engineer.
- Established deployment automation best practices reducing deployment time by about 40%.
- Implemented scalable API interfaces and spearheaded migration from monolithic to microservices architecture.
- Led an implementation team of 3 Software Engineers and 1 DevOps Engineer to build a centralized content hub.
- Developed two distinct content APIs and integrated a decoupled frontend, managing end-to-end backend architecture.