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Cloud-Enabled ETL Automation for Global Analytics Team
We partnered with a global bank’s analytics team to simplify their data transformation workflows. Our solution automated ETL processes using cloud-native pipelines, reducing manual effort and boosting data availability.
Cloud-Enabled ETL Automation for Global Analytics Team
Client / Department
A leading global chemical company's Data & Analytics Team initiated a data modernization journey to replace manual, error-prone ETL workflows with an automated, cloud-native architecture. Their legacy stack relied on scattered Python and SQL scripts, each built for unique data inputs, creating inefficiencies in data reliability and report delivery.
Unison partnered with this global client to design a unified, scalable pipeline framework powered by Talend and Snowflake, unlocking faster, error-free insights and cross-platform integration.
Problem
Manual and fragmented data processes hindered scalability and reporting speed:
- Manual pipelines: Data wrangled separately in Python/SQL for each source
- Fragmented integrations: Excel, Azure Blob, Snowflake Stages handled inconsistently
- Low automation: ETL jobs prone to errors and delays
- High maintenance: No reuse of pipeline logic, driving up costs
Solutions
A fully automated, resilient pipeline system built for flexibility and speed:
- Seamless Ingestion: Automated scheduling for Excel, Blob, and Snowflake
- Smart ETL: Legacy Python logic rebuilt in Talend + Snowflake SQL
- Embedded Data Quality: Validations + quarantine for bad records
- Cloud-Native Scale: Optimized pipelines across Azure & Snowflake
- Reusable Templates: Parameterized frameworks for faster, modular builds
Technology Stack
Our deployment combined cloud-native tools and enterprise ETL frameworks to future-proof the data ecosystem.
Talend (ETL + Quality Modules)
Azure Blob Storage
Snowflake
SQL (Snowflake)
Python
Azure Monitor | Talend Logs | Snowflake Views
Achievements
End-to-end automation drastically improved operational efficiency and data accuracy.