Big Data Engineering Services
Build enterprise-grade data infrastructure that scales. Our data engineers design and implement pipelines that process petabytes of data reliably and cost-effectively.
Our Big Data Track Record
What is Big Data Engineering?
Big data engineering involves designing, building, and maintaining the infrastructure needed to collect, store, process, and analyze large volumes of data. We help organizations build modern data platforms that turn raw data into competitive advantage.
- Data pipeline design and implementation
- Data lake and data warehouse architecture
- Real-time and batch data processing
- Data quality and governance
- Cloud-native data infrastructure
- Cost optimization for data workloads
Why Choose Big Data?
Key advantages that make Big Data the right choice for your project.
Scalable Processing
Process petabytes of data with distributed computing frameworks.
Petabyte scaleReal-Time Insights
Stream processing for real-time analytics and decision making.
Sub-second latencyCost Efficiency
Optimize storage and compute costs with modern architectures.
50%+ cost savingsData Quality
Ensure data accuracy and consistency across the organization.
99%+ data qualityWhat We Build with Big Data
Real-world applications and solutions powered by Big Data.
Customer 360 Data Platform
Unify customer data from all touchpoints for personalization and analytics.
- Unified customer view
- Real-time personalization
- Cross-channel analytics
- Customer segmentation
Risk & Compliance Data Lake
Centralized data platform for risk analytics and regulatory reporting.
- Regulatory compliance
- Risk modeling
- Audit trails
- Data lineage
IoT Data Processing
Process and analyze high-volume sensor data from connected devices.
- Real-time monitoring
- Predictive maintenance
- Anomaly detection
- Time-series analytics
Content Analytics Platform
Analyze viewing patterns and content performance at scale.
- Viewership analytics
- Content recommendations
- Ad optimization
- A/B testing
Our Big Data Expertise
Our team of 25+ data engineers has processed over 50 petabytes of data across industries.
Data Pipeline Development
Build reliable, scalable data pipelines for batch and streaming data.
- ETL/ELT Pipelines
- Stream Processing
- Data Orchestration
- Error Handling
Data Platform Architecture
Design modern data architectures including data lakes and warehouses.
- Data Lake
- Data Warehouse
- Lakehouse
- Data Mesh
Real-Time Analytics
Enable real-time analytics with stream processing and low-latency queries.
- Stream Processing
- Real-time Dashboards
- Event-Driven
- CDC
Data Governance
Implement data quality, cataloging, and governance frameworks.
- Data Quality
- Data Catalog
- Lineage
- Access Control
Technology Stack
Tools, frameworks, and integrations we use with Big Data.
Core Tools
Integrations
Frameworks
Big Data Case Studies
Real projects, real results. See what we've achieved with Big Data.
Enterprise Data Lake
Retail Corporation
Challenge
A major retailer needed to consolidate data from 100+ sources including POS, e-commerce, inventory, and marketing for unified analytics.
Solution
We built a cloud-native data lake on AWS using Spark for processing, Airflow for orchestration, and dbt for transformation. The platform processes 5TB+ daily with full data lineage.
Results
- 100+ data sources integrated
- 5TB+ processed daily
- 80% reduction in time-to-insight
- $2M annual savings in ETL costs
Real-Time Fraud Detection Pipeline
Payment Processor
Challenge
A payment processor needed to detect fraudulent transactions in real-time while processing millions of transactions per hour.
Solution
We implemented a streaming architecture with Kafka and Flink for real-time processing, ML models for fraud scoring, and sub-second response times for transaction decisions.
Results
- 10M+ transactions/hour processed
- Sub-100ms fraud scoring
- 40% improvement in fraud detection
- $15M annual fraud prevented
How We Work Together
Flexible engagement models tailored to your needs.
Data Platform Build
End-to-end data platform design and implementation.
- Architecture design
- Pipeline development
- Data modeling
- Documentation
New data platforms
Data Engineering Team
Dedicated data engineers embedded in your team.
- Senior engineers
- Full-time commitment
- Knowledge transfer
- Agile delivery
Ongoing data initiatives
Data Architecture Consulting
Expert guidance on data strategy and architecture.
- Assessment
- Architecture review
- Technology selection
- Roadmap
Strategic planning
Frequently Asked Questions
Ready to Scale Your Data Infrastructure?
Transform your data capabilities with modern big data engineering. Let's discuss your data challenges.