DATA INFRASTRUCTURE DESIGN & MODERNIZATION
SCALABLE DATA ARCHITECTURE SOLUTIONS
Transform your data infrastructure with modern, scalable architectures designed for real-time analytics, AI/ML workloads, and enterprise-grade performance.
Our Data Infrastructure Services
Data Lake & Warehouse Design
- • Modern data lake architecture on AWS, Azure, GCP
- • Data warehouse optimization and design
- • Hybrid cloud data storage strategies
- • Data partitioning and optimization
- • Cost-effective storage tier management
Legacy System Modernization
- • Mainframe to cloud data migration
- • ETL to ELT transformation
- • Legacy database modernization
- • Data format standardization
- • Gradual migration strategies
Real-Time Analytics Platforms
- • Stream processing architecture design
- • Real-time dashboard implementation
- • Event-driven data processing
- • IoT data ingestion pipelines
- • Low-latency analytics solutions
Data Governance & Quality
- • Data governance framework design
- • Data quality monitoring systems
- • Compliance and regulatory adherence
- • Data lineage and cataloging
- • Privacy and security controls
Technologies We Specialize In
Data Platforms
Snowflake, Databricks, BigQuery, Redshift
ETL/ELT Tools
Airflow, dbt, Fivetran, Stitch
Stream Processing
Kafka, Kinesis, Spark Streaming
ML Platforms
MLflow, Kubeflow, SageMaker
Our Proven Process
Assessment
Comprehensive evaluation of current data landscape and requirements
Design
Architecture design with scalability and performance optimization
Implementation
Phased deployment with minimal business disruption
Optimization
Continuous monitoring and performance tuning
Expected Outcomes
Optimized data structures and indexing
Efficient storage and compute optimization
High availability and disaster recovery
Ready to Modernize Your Data Infrastructure?
Get a comprehensive assessment of your current data architecture and discover opportunities for optimization and modernization.