Our Work
Real Solutions. Real Impact.
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At Nebula Data, we don’t just talk strategy—we help teams build practical, scalable data systems that work. Below are a few examples of how we’ve partnered with organizations across different industries to solve complex data challenges, streamline infrastructure, and unlock real business value.
Each project reflects our hands-on approach and deep understanding of what growing teams truly need: clean data, smart systems, and reliable support.
Explore how we turn data problems into scalable, long-term solutions.
01
Building a Cloud-Native Data Stack for a Biotech Startup
A fast-growing biotech startup needed a reliable way to centralize lab data and automate reporting. We designed and implemented a cloud-native data warehouse using BigQuery, built ETL pipelines with dbt and Airbyte, and delivered dashboards that cut reporting time by 70%.
02
Hybrid Infrastructure for AI Workloads in Manufacturing
TeraTech Manufacturing wanted to train machine learning models on local data without relying fully on the cloud. We designed a hybrid infrastructure combining on-prem GPU servers with a cloud storage backend—optimizing for speed, cost, and scalability.
03
On-Demand Data Engineering for a Nonprofit Analytics Team
A small nonprofit lacked a full-time data engineer but needed support cleaning donation data and building automated dashboards. We provided fractional support to help them implement data quality checks and create a reporting system using Superset.
04
End-to-End Data Center Setup for a Regional Logistics Company
A logistics firm needed to replace legacy infrastructure and modernize its data center. We led the entire process—from planning and vendor selection to hardware procurement and turnkey deployment—while ensuring secure integration with their cloud systems.
