Overview
Modern analytics platforms require reliable, scalable data pipelines to support both batch processing and real‑time use cases. Genclays designs and implements cloud‑native batch and streaming pipelines on GCP that support high‑volume data ingestion and analytics workloads.
Our solutions are built for stability, observability, and long‑term maintainability.
What We Deliver
- Batch ingestion pipelines using Dataflow and Dataproc
- Real‑time streaming pipelines using Pub/Sub and Dataflow
- File‑based batch processing from diverse source formats
- Pipeline orchestration using Cloud Composer (Airflow)
- Monitoring, alerting, and operational best practices
Key Capabilities
- GCP‑native design patterns
- Scalable and fault‑tolerant architectures
- Data quality validation and error handling
- Optimized performance for analytics workloads
Who This Is For
- Teams ingesting large volumes of batch or streaming data
- Organizations modernizing ingestion pipelines during migration
- Analytics platforms requiring reliable real‑time insights