Data Engineering Services

Transform Raw Data
into Business Intelligence

NSS builds end-to-end data pipelines, modern lakehouses, and real-time analytics platforms, powered by Databricks, Snowflake, Azure, and AWS.

๐Ÿ“Š Live Data Pipeline, NSS Architecture
๐Ÿ—„๏ธ
Data Ingestion Layer
Kafka ยท REST APIs ยท CDC Streams
LIVE
โ†“
โšก
Databricks Processing
Delta Lake ยท Spark ยท AutoML
DATABRICKS
โ†“
๐Ÿ”ท
Data Warehouse
Snowflake ยท Synapse ยท BigQuery
READY
โ†“
๐Ÿ“ˆ
BI & Analytics
Power BI ยท Tableau ยท Looker
INSIGHTS
1000+
Projects Delivered
100%
Satisfied Clients
21+
Years of Experience
75+
IT Consultants
What We Build

End-to-End Data Engineering Solutions

From raw source systems to polished dashboards, NSS architects and delivers complete data ecosystems tailored to your industry and scale.

๐ŸŒ€
Data Engineering & Pipeline Development

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

Apache AirflowdbtAzure Data FactoryAWS Glue
๐Ÿ—๏ธ
Modern Data Lakehouse

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

DatabricksDelta LakeApache Iceberg
โšก
Real-Time Streaming Analytics

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

Apache KafkaSpark StreamingFlink
๐Ÿข
Cloud Data Warehousing

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

SnowflakeBigQuerySynapseRedshift
๐Ÿค–
Data for AI & ML Platforms

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

MLflowFeature StoreVector DBs
๐Ÿ”
Data Quality & Observability

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

Great ExpectationsMonte Carlodbt Tests
Platform Expertise

Powered by Best-in-Class Platforms

NSS combines deep expertise in Databricks and Snowflake, so you always get the right tool for the right job.

DatabricksLAKEHOUSE

Databricks' unified Lakehouse platform collapses data warehouse and data lake silos into one open platform built on Delta Lake, delivering dramatic speed, cost, and reliability improvements at petabyte scale.

10ร—
Query Performance
70%
Infra Cost Reduction
3ร—
Faster Time-to-Insight
99.9%
ACID Reliability
Delta LakeApache SparkUnity CatalogMLflowAutoML
SnowflakeDATA CLOUD

Snowflake's cloud-native architecture separates storage from compute for independent scaling. NSS clients consolidate silos, enable live cross-org data sharing, and run AI workloads directly inside the warehouse.

โˆž
Unlimited Concurrency
80%
Storage Cost Reduction
5ร—
Query Performance
Zero
Maintenance Overhead
Data SharingCortex AIMarketplaceTime TravelMulti-Cloud
Our Methodology

A Proven Process for Every Engagement

We follow a structured, agile-first delivery model that minimises risk and maximises value from initial discovery through to production operations.

01
Discovery & Data Audit

We map your existing data landscape, including source systems, data quality, volumes, and business KPIs. This audit shapes the architecture and prioritization of everything that follows.

02
Architecture Design & Tech Selection

Our architects design a reference architecture tailored to your cloud environment, budget, and team skills, recommending the right combination of Databricks, Snowflake, dbt, and cloud services.

03
Pipeline Development & Testing

Sprint-based development with unit tests, data quality checks, and integration tests at every layer. We use dbt for transformation logic with full documentation and lineage built in from day one.

04
Deployment, Monitoring & Observability

We deploy to production with CI/CD pipelines, set up alerting on data freshness and quality SLAs, and deliver dashboards for operations teams to monitor pipeline health.

05
Handover, Training & Ongoing Support

Full knowledge transfer to your internal teams, comprehensive documentation, and optional managed operations or staff augmentation to keep your platform evolving as your business grows.

Data Engineering Process
Technology Stack

Tools We Master

We work with the best-in-class modern data stack, so you benefit from the latest innovations without lock-in.

Orchestration & Transformation
Apache Airflow
dbt
Prefect
Azure Data Factory
AWS Glue
Processing & Storage
Databricks
Snowflake
Google BigQuery
Azure Synapse
Amazon Redshift
Apache Spark
Delta Lake
Streaming & Messaging
Apache Kafka
Azure Event Hubs
AWS Kinesis
Apache Flink
BI & Visualization
Power BI
Tableau
Looker
Metabase
Grafana