We build production-grade data pipelines, batch processing systems, and workflow orchestration deployed entirely on your cloud infrastructure. Cloud-native, scalable, and fully automated.
Custom data processing solutions deployed to your cloud infrastructure. Automated, scalable, and production-ready.
Design and deploy sophisticated data workflows with custom orchestration, error handling, and retry logic—all on your infrastructure.
Automated data collection, aggregation, and transformation pipelines that process your data at scale.
Automated monitoring and alerting systems that detect issues, anomalies, and important events in your data.
Like our CCI project: automated cost data aggregation, anomaly detection, and executive reporting across GCP, AWS, and Azure.
Automated invoice processing, reconciliation, financial reporting, and compliance monitoring.
Real-time system health monitoring, performance metrics aggregation, and automated alerting.
Extract, transform, and load data from multiple sources into your data warehouse for analytics.
For a major enterprise, we built automated data pipelines across GCP, AWS, and Azure that:
Daily batch jobs collect and aggregate cost data from all three cloud providers
Custom algorithms detect cost anomalies and send real-time alerts to Teams
Monthly budget reports generated automatically, replacing manual processes
Unified Power BI dashboard with LLM-generated insights for executives
Let's discuss how we can build custom data processing workflows, batch jobs, and monitoring systems deployed entirely to your infrastructure.