Data Engineering & Analytics
We built a cloud-native SaaS application capable of scaling seamlessly to 1M+ active users. The platform featured secure APIs, subscription billing, and real-time analytics.
We built a centralized data lake that integrated POS, supply chain, and customer data. This allowed retailers to track sales and inventory in real time, reducing stock-outs by 30% and cutting excess inventory holding costs by 20%. Actionable dashboards enabled category managers to make faster pricing and replenishment decisions
By consolidating EHR, lab results, and wearable data, hospitals gained a 360° view of patients. This powered predictive alerts for high-risk patients, reducing readmission rates by 15%. Clinicians accessed accurate, unified dashboards that improved decision-making and enhanced patient care outcomes.
We implemented automated ETL pipelines and compliance dashboards for a leading financial institution. This reduced manual reporting efforts by 40% and ensured audit-ready accuracy. Real-time KPI monitoring improved risk visibility and supported faster regulatory submissions.
IoT data from thousands of sensors was ingested into a modern data platform using streaming pipelines (Kafka & Spark). Predictive models detected anomalies and suggested proactive maintenance schedules. The result: 25% reduction in unplanned downtime and multi-million-dollar savings annually.
