Ingestion, transformation, and analytics at petabyte scale. What used to take weeks now takes hours. AWS-native, horizontally scaled.
We build production-grade data pipelines on AWS that handle ingestion, transformation, and analytics at any scale. From real-time streaming to batch processing, our pipelines are built to be reliable, cost-efficient, and fully automated.
We leverage the full AWS data stack: Lambda for serverless processing, SQS for message queuing, Glue for ETL, and NiFi for complex data routing.
We've built pipelines that process petabytes of data for Fortune 500 companies. That same expertise is now available to growing businesses.
Architectures designed to scale horizontally from day one. Process 10 records or 10 billion. The pipeline adapts automatically.
All pipeline code in Python, all infrastructure as code in Terraform. Reproducible, version-controlled, and fully auditable deployments.
We audit your current data landscape: sources, volumes, latency requirements, and downstream consumers.
Design the pipeline architecture with AWS-native services, defining ingestion, transformation, and delivery stages.
Implement the pipeline with comprehensive testing, data quality checks, and performance benchmarking at scale.
Production deployment with monitoring, alerting, and cost optimization. Ongoing tuning to maintain peak performance.
