We build the pipelines, warehouses and lakehouses that turn raw data into analytics-ready assets, and migrate legacy systems to the cloud.

Data engineering is the practice of designing and building systems that collect, store, transform and serve data for analytics, reporting and machine learning. Upen Group specializes in data analytics solutions on modern cloud platforms.
Adopting the latest cloud data technologies drives advanced capabilities in data management, analytics and machine learning, with the performance and cost reductions business leaders seek. Our automated migration tooling moves legacy systems to platforms such as Google Cloud quickly and cost-effectively.
Our team of cloud architects and big data engineers delivers projects for clients across industries, with every pipeline validated before it reaches your dashboards.
Batch and streaming pipelines that ingest, transform and deliver data reliably.
Design and build on Google BigQuery, Azure and Snowflake for fast, scalable analytics.
Move warehouses, Hive and Hadoop workloads and databases to the cloud with automated tooling.
Analytics-ready models that make data easy to query and understand.
Streaming architectures for live dashboards and event-driven applications.
Clean, governed datasets that feed BI tools and machine learning models.
A proven four-stage approach for migrating and modernizing data platforms with confidence.
Understand your data landscape, sources, consumers, quality issues and business goals before anything moves.
Design and build pipelines that bring data together on a modern, governed platform.
Reconcile and test data against source systems so every report can be trusted.
Optimize performance and cost, and add analytics and machine learning on the new foundation.
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Talk to an Expert →Last updated: October 2, 2026