Seamless migration to AWS, GCP, or Azure with cost optimization and performance tuning.
Build robust data pipelines, data lakes, and real-time streaming architectures.
Transform raw data into actionable insights with advanced analytics and dashboards.
Stream processing solutions for real-time analytics and event-driven architectures.
Implement data governance, encryption, and compliance frameworks (GDPR, HIPAA).
Design and implement multi-cloud architectures for resilience and vendor independence.
A retail company needed to migrate 50TB of customer data from on-premises to cloud while maintaining 99.9% uptime.
Implemented AWS DataSync with S3 data lake, Glue ETL pipelines, and Redshift for analytics. Used Lambda for real-time inventory updates.
60% cost reduction, 10x faster query performance, real-time inventory tracking across 500+ stores.
Investment firm required real-time fraud detection and risk analysis for high-frequency trading operations.
Built streaming architecture with Kafka, Spark Streaming, and ClickHouse. Implemented ML models for anomaly detection.
Sub-second fraud detection, 99.99% uptime, processing 1M+ transactions per second.
Hospital network needed HIPAA-compliant data warehouse for patient analytics across multiple facilities.
Designed GCP-based solution with BigQuery, Cloud Healthcare API, and Dataflow for secure data processing.
HIPAA compliance achieved, 40% improvement in patient outcomes through predictive analytics.
Manufacturing company needed to process sensor data from 10,000+ devices for predictive maintenance.
Implemented Azure IoT Hub with Stream Analytics, Time Series Insights, and Power BI for real-time monitoring.
30% reduction in equipment downtime, $2M annual savings through predictive maintenance.
SaaS company required 99.99% availability with disaster recovery across multiple cloud providers.
Architected multi-cloud setup with AWS primary, GCP secondary, automated failover using Terraform and Ansible.
Zero downtime in 18 months, RTO reduced from 4 hours to 15 minutes.