Data Engineering
Data pipelines, warehouses, and analytics infrastructure.
We build scalable data engineering systems — ETL/ELT pipelines, streaming architectures, data warehouses, and analytics platforms that transform raw data into business intelligence at any scale.
Cases
View all cases →Trading Analytics Platform for OKX
Built a comprehensive analytics platform for OKX crypto exchange — real-time trading volume dashboards, user behaviour analytics, revenue attribution by instrument and region, and executive KPI reporting. Processing 100M+ events daily with sub-second query latency.
Raiffeisen Bank International — DWH Migration
Full migration of a 15 TB Oracle data warehouse to Greenplum MPP for Raiffeisen Bank International — ETL redesign, SQL query optimisation, data mart rebuild, and zero-downtime cutover. Query execution time reduced by 70%, infrastructure costs cut by 45%.
Real-Time Fraud Detection System
ML fraud detection processing 500k daily transactions for a payment processor — 99.2% accuracy with sub-50ms inference latency, saving $2M+ annually in fraud losses.
High-Availability Database Infrastructure
PostgreSQL HA cluster with streaming replication, automated failover (Patroni), cross-region backups, and read replica auto-scaling for a 10TB+ trading platform database with zero downtime.
Real-Time Analytics Pipeline (50M events/day)
Kafka-based streaming pipeline ingesting 50M+ daily events from web, mobile, and backend systems — Kafka Streams processing, ClickHouse OLAP storage, and Grafana dashboards for business teams.
Financial Data Warehouse (Snowflake)
Snowflake data warehouse for a trading firm — dbt transformation layer, automated ELT from 12 data sources, and Power BI dashboards for risk management and P&L reporting.
Discuss Your Project With Our Team
We'll assess your requirements and propose the right approach, team structure, and timeline.
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