A major not-for-profit private health insurer serving nearly one million members had a data engineering team running critical analytics workflows through manual Snowflake notebook processes. When a key data engineer was reassigned internally, the team was left with a growing backlog and no capacity to address it. Key challenges included:
Embedded a data engineer directly into the client's squad, operating as a fully integrated team member rather than an external consultant running a discrete project
For data engineering teams carrying manual Snowflake notebook workflows with no automation or quality controls, this engagement demonstrates how a focused dbt migration can eliminate recurring manual effort and lay the foundation for a governed, scalable analytics platform. The embedded augmentation model is directly reusable for any organization that needs capable data engineering capacity quickly without the overhead of a long procurement or onboarding cycle.
A single embedded data engineer serving as both delivery lead and primary practitioner, with structured knowledge transfer from a prior engagement lead ensuring a fast start and continuity of institutional knowledge.
A health information exchange serving 4,900+ users modernized its analytics stack for complex semi-structured healthcare data with a three-month Snowflake, Matillion, and Tableau proof of concept.
A global natural-cosmetics brand unified marketing data from Google, social, e-commerce, ERP, and CRM sources into a single Snowflake environment, enabling cross-platform ROI analysis for the first time.
A global engineering software company met a hard Matillion deprecation deadline with a zero-downtime agent upgrade of its Matillion and Snowflake pipelines on Azure, completed in under two weeks.
Interworks GmbH
Ratinger Straße 9
40213 Düsseldorf
Germany
Geschäftsführer: Mel Stephenson
Kontaktaufnahme: markus@interworks.eu
Telefon: +49 (0)211 5408 5301
Amtsgericht Düsseldorf HRB 79752
UstldNr: DE 313 353 072