Data without structure is noise. Cloud without scale is cost.
At Entrans, we help you build intelligent, cloud-native ecosystems that turn fragmented data into actionable insights—and infrastructure into a business advantage.
What We Deliver
We design and build cloud and data platforms that are flexible, scalable, and AI-ready—so your enterprise can move from hindsight to foresight, and from complexity to clarity.
Our approach integrates data engineering, analytics, and cloud modernization to drive smarter decisions, faster development, and reduced total cost of ownership.
Data Engineering & Advanced Analytics
Unlock insight from every byte
We architect and implement high-performance data pipelines, warehousing, and analytics environments that power real-time and batch intelligence across your enterprise.
Our work includes
Modern data lakes and warehouses (Snowflake, Redshift, BigQuery)
60%
reduction in processing time for re-engineered lending platform
70% automation of manual workflows via modern APIs
How We Work
We embed with your teams, using agile pods to build iteratively, validate quickly, and deliver continuously.
Whether you're modernizing your stack, building for real-time analytics, or enabling AI at scale - we ensure it’s done with speed and resilience.
Cloud-agnostic frameworks
with deep AWS, Azure, and GCP expertise
Modular architecture
for scalable, extensible data products
Domain-aligned pods
who understand industry-specific needs
Security-first mindset
with compliance baked into every layer
Tech Stack & Tooling
Hire developers who are well-versed in a vast set of best-in-class tools, state-of-the-art technologies, and modern approaches to scale your business application development
Cloud Platforms
AWS | Azure | GCP
Data & Analytics
Snowflake | Redshift | BigQuery | Azure Synapse | Power BI | Tableau | Looker
