Turn raw data into decisions at cloud scale.
Nimbus Code builds end-to-end data solutions on AWS — scalable ETL pipelines, automated ingestion, and executive Power BI dashboards that move your business forward.
End-to-end analytics, engineered.
From data extraction to executive dashboards — secure, efficient, scalable.
ETL Pipeline Design
Scalable, fault-tolerant pipelines that ingest, clean, and transform data from any source into trusted analytics-ready models.
AWS Data Architecture
Cloud-native architectures using S3, Glue, Redshift, Lambda, and Athena — tailored to your workload and budget.
Automated Ingestion
Event-driven and scheduled ingestion that keeps your warehouse fresh without manual intervention or brittle scripts.
Power BI Dashboards
Interactive reports and KPI dashboards that surface the metrics leaders need, with drill-downs that answer the next question.
Analytics & Reporting
From operational reports to executive scorecards — semantic models built for trust, performance, and clarity.
Secure & Scalable
IAM, encryption, lineage, and observability baked in — so your data platform grows safely with your business.
A pipeline for clarity.
We work in tight, measurable stages — so every dollar of platform investment is traceable to a business outcome.
We map your data sources, business questions, and the decisions you need to power.
We design an AWS-native blueprint sized to your data volume, latency, and budget.
Pipelines, transformations, and semantic models — tested, documented, version-controlled.
Power BI dashboards your leaders actually open, with the trust to act on what they see.
Meet Ruan.
With over a decade of experience designing data platforms for businesses of every size, Ruan founded Nimbus Code to bring enterprise-grade data engineering to teams that need real answers — fast.
His work spans AWS-native architectures, ETL automation, and Power BI analytics — always shipped with the rigor of an engineer and the clarity of an operator.
Ready to make your data work harder?
Tell us what you're trying to measure. We'll come back with an architecture and a plan.