Big data platforms for financial intelligence
TRENDING · BIG DATA
Trading platforms generate massive data volumes. We build streaming and batch data platforms that turn tick data, transaction logs, and market feeds into real-time risk intelligence and regulatory reports.
Core capabilities
What we deliver
Apache Kafka Apache Kafka event streaming
For Big data platforms for financial intelligence, apache Kafka event streaming becomes a scoped delivery track rather than a loose task. We define the target architecture, implementation path, and validation checkpoints so the capability can move safely from discovery to production.
- Scope, assumptions, and acceptance criteria
- Production-ready implementation plan
- Quality gates and operational handover
Apache Flink Apache Flink & Spark stream processing
For Big data platforms for financial intelligence, apache Flink & Spark stream processing becomes a scoped delivery track rather than a loose task. We define the target architecture, implementation path, and validation checkpoints so the capability can move safely from discovery to production.
- Scope, assumptions, and acceptance criteria
- Production-ready implementation plan
- Quality gates and operational handover
ClickHouse Snowflake ClickHouse & Snowflake analytics warehouses
For Big data platforms for financial intelligence, clickHouse & Snowflake analytics warehouses becomes a scoped delivery track rather than a loose task. We define the target architecture, implementation path, and validation checkpoints so the capability can move safely from discovery to production.
- Scope, assumptions, and acceptance criteria
- Production-ready implementation plan
- Quality gates and operational handover
dbt transformation dbt transformation pipelines
For Big data platforms for financial intelligence, dbt transformation pipelines becomes a scoped delivery track rather than a loose task. We define the target architecture, implementation path, and validation checkpoints so the capability can move safely from discovery to production.
- Scope, assumptions, and acceptance criteria
- Production-ready implementation plan
- Quality gates and operational handover
Data lakehouse Data lakehouse architecture
For Big data platforms for financial intelligence, data lakehouse architecture becomes a scoped delivery track rather than a loose task. We define the target architecture, implementation path, and validation checkpoints so the capability can move safely from discovery to production.
- Scope, assumptions, and acceptance criteria
- Production-ready implementation plan
- Quality gates and operational handover
Real-time dashboards Real-time dashboards (Superset, Grafana)
For Big data platforms for financial intelligence, real-time dashboards (Superset, Grafana) becomes a scoped delivery track rather than a loose task. We define the target architecture, implementation path, and validation checkpoints so the capability can move safely from discovery to production.
- Scope, assumptions, and acceptance criteria
- Production-ready implementation plan
- Quality gates and operational handover
Use cases
Real-world applications
-
Real-time Risk Aggregation
Kafka + Flink pipeline aggregating position and P&L data across all trading desks with sub-second latency.
-
Trade Surveillance Platform
Big data platform ingesting all order and trade events to detect market abuse patterns for compliance.
-
Regulatory Reporting Warehouse
ClickHouse-based data warehouse serving MiFID II transaction reports to regulators via secure SFTP.
Need big data engineering?
Let's talk
Tell us about your project and we'll scope it together — no commitment required.
