Data

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Data Engineering

Data Engineering

Design and operationalize data engineering capabilities that unify data sources, ensure reliability, and support enterprise analytics and AI workloads.

Data Services

Trusted by Leading Brands

Trusted by 100+ global companies across Retail, Manufacturing, Healthcare, Finance, and Technology

Our Data Engineering approach

Enterprise data ingestion

  • Batch and streaming ingestion 
  • Multiple source system integration 
  • Reliable data movement 

Scalable data processing

  • Data transformation and enrichment 
  • Performance-optimized pipelines 
  • Fault-tolerant execution 

Reliable analytics delivery

  • Timely data availability 
  • Monitoring and error handling 
  • Operational stability 

Built for production data workloads

  • Batch and streaming frameworks 
  • Pipeline monitoring and observability 
  • Data quality checks 
  • Metadata and lineage support 

What our data engineering services deliver

Reliable analytics data

Consistent, trusted data for reporting and decision-making. 

Scalable data pipelines

Architected for volume, velocity, and growth.

Reduced data failures

Built-in monitoring and fault tolerance. 

Faster time to insight

Analytics-ready data delivered on time.

Enterprise-ready operations

Pipelines designed for production workloads. 

Proven outcomes at enterprise scale

40-60%

faster hiring cycles

50%

reduction in onboarding effort

30%

improvement in recruiter productivity

25%

lower voluntary attrition

35%

faster HR request resolution

100%

audit-ready compliance

Integrations

outlook
sap
Teams
netsuite
Zoom

Integrations

outlook
sap
Teams
netsuite
Zoom

Proven Success with Enterprise Clients

Background

Improved Workforce Utilization Visibility with Timesheet Analytics for a Manufacturing Enterprise

A centralized analytics platform consolidates timesheet data and surfaces utilization trends and compliance gaps through dashboards and reports. 

Background

Reduced Stockouts with AI-Driven Demand Forecasting for a Global Manufacturing Enterprise

Advanced analytics models forecast SKU-level demand using historical data, seasonality, and promotions, enabling proactive inventory and production planning. 

Background

Reliable Enterprise Analytics with a Centralized Master Data Foundation

A governed master data platform eliminates inconsistencies across systems, ensuring accurate reporting and dependable analytics at scale. 

Background

Faster and More Accurate Sales Insights with SAP-Centric Master Data Analytics

Sales, customer, and product master data is centralized and governed within SAP, improving analytics accuracy and decision-making speed. 

Frequently Asked Questions (FAQs)

Saxon addresses unreliable pipelines, data latency issues, scalability challenges, and inconsistent data availability for analytics. 

Yes. Saxon designs and builds batch and streaming pipelines based on data volume, velocity, and latency requirements.

Through performance optimization, fault tolerance, monitoring, and operational controls built into pipeline design.

Yes. Pipelines are designed to integrate with existing source systems, data platforms, and analytics environments. 

Yes. Saxon supports monitoring, optimization, and operational stability after pipelines go live.

Get started with our data engineering services