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We help organizations modernize legacy data platforms into scalable, cloud-native architectures that support analytics, machine learning, and AI workloads.
Our work includes:
Design and implementation of data pipelines for batch and real-time ingestion
Data lake and lakehouse architectures using cloud object storage and analytical engines
Data modeling, schema evolution, and downstream consumption patterns for APIs, analytics, and ML
Performance optimization and cost management for large-scale data processing
These foundations enable reliable downstream use cases, from reporting and analytics to advanced AI and RAG systems.
We help organizations modernize legacy data platforms into scalable, cloud-native architectures that support analytics, machine learning, and AI workloads.
Our work includes:
Design and implementation of data pipelines for batch and real-time ingestion
Data lake and lakehouse architectures using cloud object storage and analytical engines
Data modeling, schema evolution, and downstream consumption patterns for APIs, analytics, and ML
Performance optimization and cost management for large-scale data processing
These foundations enable reliable downstream use cases, from reporting and analytics to advanced AI and RAG systems.