Peter Kredel

As a specialist in Big Data & AI, I help organizations design and implement scalable data platforms as well as reporting and analytics solutions. Among other industries I particularly focus on the automotive, financial, and energy sectors, where I have delivered data-driven solutions ranging from large-scale analytics platforms to AI-powered decision support systems. I develop clear, robust, and scalable data architectures that ensure high data quality, reliability, and long-term maintainability.

Consulting in the automotive industry, leading role in a big data project. Responsibilities included gathering requirements, strategizing with stakeholders, and operational execution. Improved backend architecture, introduced testing strategies, and optimized PowerBI dataset loading times by 80%. Stack: GCP, BigQuery, Azure DevOps, Databricks, Spark, SQL, Python, Docker, PowerBI.

Full Stack Development Webapp Microservices Java, React, Relational DB Masters thesis: Persistence strategy for timescale data (Grade: 1.0)

Databases Digitization Project management

Big Data, Data Analysis, Machine Learining, Programming (C, C++, Python) in energy-related usecases (energy -market, -systems, -supply)

Einjähriger Auslandsaufenthalt als Erasmusstudent an der Facultad de Ciencias Económicas y Empresariales