SR
SandRock
Tailored Data Engineering

Custom Data Solutions

Bespoke data engineering and processing solutions tailored to your unique business requirements. From ETL pipelines to analytics dashboards, we build what you need.

Comprehensive Data Solutions

End-to-end data solutions designed and built specifically for your business needs

ETL Pipeline Development

Custom Extract, Transform, Load pipelines for seamless data integration across systems

Key Features

Multi-source integration
Real-time processing
Error handling & recovery
Performance optimization
Automated scheduling
Data Warehousing

Scalable data warehouse solutions optimized for analytics and business intelligence

Key Features

Star/snowflake schema design
Columnar storage optimization
Automated data modeling
Historical data management
Query performance tuning
Stream Processing

Real-time data processing and analytics for time-sensitive business decisions

Key Features

Event streaming
Complex event processing
Real-time aggregations
Windowing functions
Fault-tolerant processing
Analytics Dashboards

Interactive business intelligence dashboards with advanced visualization capabilities

Key Features

Custom visualizations
Real-time updates
Mobile responsive
Role-based access
Automated reporting

Proven Business Impact

Our custom solutions deliver measurable improvements in performance, efficiency, and business outcomes

10x

Performance Improvement

Faster query performance with optimized data architecture

90%

Time to Insights

Reduction in time from data to actionable insights

99.9%

Data Quality

Data accuracy with automated validation and monitoring

95%

User Adoption

Business user adoption rate for self-service analytics

Industry-Specific Solutions

Deep expertise across industries with solutions tailored to specific challenges and compliance requirements

Financial Services

Common Challenges

  • Risk analytics
  • Regulatory reporting
  • Fraud detection

Our Solutions

  • Real-time risk dashboards
  • Automated compliance reports
  • ML-powered fraud detection
Healthcare

Common Challenges

  • Patient data integration
  • Clinical analytics
  • Compliance (HIPAA)

Our Solutions

  • EHR data consolidation
  • Clinical decision support
  • Privacy-preserving analytics
Retail & E-commerce

Common Challenges

  • Customer 360 view
  • Inventory optimization
  • Personalization

Our Solutions

  • Unified customer profiles
  • Demand forecasting
  • Recommendation engines
Manufacturing

Common Challenges

  • IoT data processing
  • Predictive maintenance
  • Quality control

Our Solutions

  • Sensor data pipelines
  • Maintenance predictions
  • Quality analytics

Best-in-Class Technology Stack

We use the most reliable and performant technologies to ensure your solutions are future-proof and scalable

Data Processing
Apache SparkApache KafkaApache FlinkDatabricks
Data Storage
SnowflakeBigQueryRedshiftDelta Lake
Orchestration
Apache AirflowPrefectDagsterKubernetes
Visualization
TableauPower BILookerCustom React/D3
Cloud Platforms
AWSAzureGCPMulti-cloud
Monitoring
PrometheusGrafanaDataDogNew Relic

Our Development Process

Structured approach ensuring successful delivery of complex data solutions

1
Discovery
1-2 weeks

Activities

  • Requirements gathering
  • Current state assessment
  • Data audit
  • Stakeholder interviews

Deliverables

  • Technical requirements
  • Gap analysis
  • Architecture recommendations
2
Design
2-3 weeks

Activities

  • Solution architecture
  • Data modeling
  • Technology selection
  • Security design

Deliverables

  • Technical architecture
  • Data models
  • Security framework
  • Implementation plan
3
Development
4-8 weeks

Activities

  • Pipeline development
  • Dashboard creation
  • Testing
  • Performance optimization

Deliverables

  • Working solution
  • Test results
  • Performance benchmarks
  • Documentation
4
Deployment
1-2 weeks

Activities

  • Production deployment
  • User training
  • Monitoring setup
  • Knowledge transfer

Deliverables

  • Production system
  • User guides
  • Monitoring dashboards
  • Support handover
Case Study

Global Retailer Data Transformation

A Fortune 500 retailer needed to unify customer data from 15+ systems across 50 countries to enable personalized marketing and improve customer experience.

Challenge

Siloed customer data across multiple systems, inconsistent data quality, and no unified view

Solution

Real-time ETL pipelines, customer data platform, and ML-powered data quality monitoring

Results

40% increase in marketing ROI, 25% improvement in customer satisfaction, 90% reduction in data processing time

40%
Marketing ROI Increase
25%
Customer Satisfaction
90%
Faster Processing
15+
Systems Unified

Ready to Transform Your Data Operations?

Let's discuss your unique data challenges and design a custom solution that delivers real business value.

Explore Other Services

✓ Free consultation • ✓ Custom solution design • ✓ Transparent pricing