01.11.2025 aktualisiert
verifiziert
Premiumkunde
100 % verfügbarData Engineering / Machine Learning / KI Consultant
Hamburg, Deutschland
Weltweit
Dipl. Betriebwirt / Wirtschaftsinformatik (FH)Skills
SQLBig DataPythonApache AirflowGCPBigQueryAmazon AWSGenAIDatabricksRetrieval Augmented Generation (RAG)
data modelling, Google Bigquery, Apache, Apache AVRO, Tensorflowm Tableau, Python, Kubernetes, Docker, Jenkins, Machine Learning, Big Data, data systems, HAWQ, Gemfire, Hive, Talend Big Data Plattform, Nifi, RabbitMQ, Tableau, Java, Spring Boot, Apache Zeppelin, Tensorflow, DWH, agile methods, data entry, presentation layer, Apache Nifi, Perl, AVRO, Apache Spark, visualization, MySQL, Jedox, RapidMiner, Knime, Database, Uniserv, Oracle, Zoot Decision Management, OLAP, MS SQL, MS, SSAS, databases, telecommunication, SAS, CRM, datamart, Sybase IQ, instantOLAP, Programming, SQL, Map / Reduce, SAS Base, Octave, Matlab Basic knowledge, MAXDB, PostgreSQL, Pivotal HAWQ, Pivotal Gemfire, Talend, Rapid Miner, Apache Spark / PySpark, Python Pandas / Scikit, Apache Beam, Hadoop, MS Office, GenAI, AI Agents, RAG Systems, MLOps, ML Lifecycle, Databricks, Azure Databricks, LangChain, LLamaIndex
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisse
Projekthistorie
* Designing a GenAI / ML system for document analysis and retrieval
* Setting up a RAG-Architecture and workflow for cost optimization in GenAI usage
* Used technologies: VertexAI Pipelines, Kubeflow, Pinecone, OpenAI, Python, Llama, PydanticAI
* Setting up a RAG-Architecture and workflow for cost optimization in GenAI usage
* Used technologies: VertexAI Pipelines, Kubeflow, Pinecone, OpenAI, Python, Llama, PydanticAI
Integration of Land Registry Data for the transparency
register according to the legislation
• Providing Land Registry Data to legal institutions by
providing an API
• Automation of all changes to the data
• Used technologies: OpenShift, Python, Postgres,
FastAPI, Airflow, Docker, Kubernetes, dbt
register according to the legislation
• Providing Land Registry Data to legal institutions by
providing an API
• Automation of all changes to the data
• Used technologies: OpenShift, Python, Postgres,
FastAPI, Airflow, Docker, Kubernetes, dbt
• Integrating new recommendation models into the
streaming feed
• Optimizing performance and usability of the
recommendation provision engine
• Aggregation and integration of user seed calculations for
real-time recommendations
• Used technologies: GCP, Python, Kubernetes, Docker,
ArgoCD, SQL, FastAPI, Bigquery, AlloyDB, Airflow
(Cloud Composer), ArgoWorkflows
streaming feed
• Optimizing performance and usability of the
recommendation provision engine
• Aggregation and integration of user seed calculations for
real-time recommendations
• Used technologies: GCP, Python, Kubernetes, Docker,
ArgoCD, SQL, FastAPI, Bigquery, AlloyDB, Airflow
(Cloud Composer), ArgoWorkflows