Amazon marketplace seller scaling data infrastructure across 6,000+ SKUs
Eberlein Kunz is a Berlin-based Amazon seller (top 30 in Germany) managing 6,000+ products across food, beauty, and household categories. Their tech stack reveals a data-first operation: AWS + Azure, dbt + Airflow, Power BI—built to handle multi-channel inventory and pricing at scale. Active projects on 'scalable data architecture' and 'modern data pipelines' paired with pain points around 'scaling data pipelines' and 'outdated pipelines' signal they're mid-transition from ad-hoc analytics to automated, cloud-native data ops.
Eberlein Kunz operates as a mid-market e-commerce seller, sourcing and reselling products from 300+ brands across food, beauty, and general merchandise on Amazon and other channels. The company runs a 51–200-person team split across product, data, operations, and sales functions, with hiring accelerating in data and product roles. Their operational scope includes inventory management, PPC campaign optimization, vendor compliance, and category-specific assortment work (notably in books). The data infrastructure investments—dbt, Airflow, Azure Synapse—serve two functions: optimizing product profitability and managing Amazon account compliance.
AWS and Azure (Data Factory, Synapse Analytics, Fabric), dbt, Apache Airflow, Python, SQL, Power BI for analytics, and Amazon Seller Central for marketplace management.
Berlin, Germany. Founded in 2013 as a partnership, currently 51–200 employees.
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