Case Study: Juntos Global reduces ETL time from hours to minutes with Databricks

Juntos Global - Customer Case Study

Juntos Global is a financial‑technology firm that runs a text‑messaging service connecting banks and account holders. They had to process gigabytes of customer and account log/flat files in varying formats, but a legacy Pentaho → Postgres ETL pipeline imposed heavy DevOps overhead, complex SQL tuning, frequent data-quality issues, and R’s single‑threaded limits forced analysts to sample rather than process full datasets.

Juntos moved their ETL to the Databricks Unified Analytics Platform, adopting a fully managed, unified environment with PySpark support that simplified infrastructure and performance tuning. As a result, ETL jobs that once took hours on sampled data now process entire datasets in minutes, DevOps burden has been reduced, and the team can focus more time on exploration and analytics, improving overall productivity and time‑to‑value.

Juntos Global

Dante Cassanego

Chief Technology Officer and Co-Founder