What the Client Was Facing
A national retailer had 40 data sources feeding a legacy Informatica ETL platform requiring 3 full-time engineers to maintain. Pipeline failures were a daily occurrence, the data warehouse was 12 hours stale by morning and analysts spent 40% of their time validating data before using it.
What ZippyOPS Was Engaged To Do
ZippyOPS was brought in to design and implement a solution addressing the root causes of the client's challenges — delivering measurable outcomes within a fixed engagement timeline. Our team worked embedded with the client's engineers throughout the entire project.
How We Solved It
ZippyOPS replaced the legacy ETL with a modern data stack — Airbyte for ingestion, dbt for transformation, Airflow for orchestration and Snowflake as the warehouse. Data quality tests were implemented in dbt for every model and Slack alerts fired when pipelines failed or data quality dropped.
Technologies Used
Measurable Outcomes Delivered
Pipeline failures reduced from daily to near-zero — 99.4% reliability in first 6 months
Data freshness improved from 12 hours stale to 45 minutes
Business analyst data validation time eliminated through automated testing
ETL engineering team redeployed from maintenance to new data product development
Want Similar Results for Your Team?
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