Data & Analytics
End-to-end data pipelines, stream processing & interactive BI dashboards. From raw telemetry to executive insight in seconds.
We architect lakehouse-style data platforms on Apache Kafka, Spark, and ClickHouse — processing 100M+ events per day with sub-second query latency for operational and analytical workloads.
Key Features
01
Data Pipelines
Event-driven ingestion with schema registry, exactly-once delivery, and automatic dead-letter handling.
02
Real-Time Processing
Stream processing on Kafka Streams and Flink for windowed aggregations, joins, and anomaly scoring.
03
BI Dashboards
Interactive dashboards with drill-down, alerting thresholds, and role-based access on Grafana and custom UIs.
04
Advanced Analytics
Time-series forecasting, cohort analysis, and causal inference models integrated into the reporting layer.
Business intelligence, operational monitoring, customer analytics, financial analysis, and strategic decision support.