Modular Capabilities for Every Stage
Ingestion, transformation, storage, and governance—delivered with reliability and observability.
Data Platforms
Lakes, warehouses, and lakehouses on AWS/GCP/Azure.
Pipelines
Batch ETL/ELT and real-time streaming with Kafka.
Orchestration
Airflow/Dagster workflows and event-driven processing.
Quality & Governance
Contracts, validation, lineage, and catalogs.
MLOps Foundations
Feature stores, model registries, and monitoring hooks.
Cost & Security
Right-sized infra, access control, and encryption by default.
Why Teams Build With Us
We design for correctness and operability—so downstream analytics can trust upstream data.
- Reliable pipelines with SLAs
- Faster time-to-insight
- Scalable, governed data
- Lower infra cost with right-sizing
- Production-grade monitoring
Operational Practices
Data Contracts
Schema versioning and expectations.
Observability
Lineage, metrics, and alerts.
Cost Controls
Budgets and workload tuning.
Security First
Access boundaries and encryption.
Delivery You Can Trust
A predictable path from discovery to launch with clear milestones and ownership.
01
Discovery & Alignment
Domains, sources, consumers, and SLAs.
02
Architecture & Plan
Storage, compute, tooling, and governance.
03
Build & Validate
Pipelines, observability, and backfills.
04
Launch & Iterate
SLOs, costs, and roadmap execution.