Transform Raw Data
into Business Intelligence

Robust ETL/ELT pipelines that reliably move data from any source system to your target platform — with built-in monitoring, alerting, and retry logic.

Implement the Lakehouse paradigm with Delta Lake on Databricks — combining data lake flexibility with data warehouse reliability at any scale.

Process millions of events per second with Kafka, Spark Structured Streaming, and Kinesis — enabling instant insights from IoT, clickstreams, and transactions.

Architect and optimize cloud-native warehouses that scale elastically. We handle Snowflake, Azure Synapse, BigQuery, and Redshift including data modeling and cost optimization.

Build feature stores, training data pipelines, and MLOps infrastructure so your data science teams always have clean, versioned, reproducible data.

Implement data contracts, Great Expectations tests, and observability to catch anomalies before they reach your dashboards — ensuring stakeholders always trust their numbers.

We tie every architectural decision to a business outcome — no gold-plating, no over-engineering. You get what you need to move fast and scale later.

Our team operates across USA, India, and Europe — delivering around the clock with deep local context and clear communication in every timezone.

GDPR, HIPAA, SOC 2 — our data architectures include encryption, access controls, and audit logging by default, not as afterthoughts.

From kickoff to production and beyond, NSS takes end-to-end responsibility. We don't hand off incomplete work — we own the outcome.