06Data

Custom data sources for business use cases

Data engineering · Databricks ETL

Simplified illustration of the flow, not documentation of the system or its interface.

Challenge: Business teams needed reliable, ready‑to‑use data for specific questions, while the underlying data lived in many places and formats.
Approach: Designing and building many custom data sources with Databricks ETL pipelines, each shaped around a concrete business use case: from Redshift databases, through parsing files stored in S3, to decoding Parquet datasets on S3 into clean, consistent tables.
Outcome: Purpose‑built data sources that teams use directly, instead of assembling raw data by hand for every new question.