Summary
Majid Aminian is a data engineer and solution architect based in Berlin with eight years of experience building cloud-native data platforms and analytics pipelines. He holds a Master's in Data Science and has repeatedly implemented Medallion Architecture, ETL/ELT workflows, and infrastructure-as-code across Azure and AWS using Terraform, ARM, Databricks, and PySpark. At KPMG and previous firms he automated ingestion and transformation with Azure Functions, ADF, Airflow and CI/CD pipelines, enabling reliable production data flows and observability. Majid combines hands-on SQL and Python engineering with infrastructure automation to bridge analytics and operational systems, having delivered data lakes, warehouses, and microservices on Kubernetes. He brings research-led thinking from European projects into enterprise modernization work, favoring reproducible, testable pipelines that scale. Colleagues rely on him to translate complex data requirements into auditable, production-ready architectures.
9 years of coding experience
5 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Berlin University of Applied Sciences Berlin (BHT)
English, German