Data-Intensive Enterprises
Data warehouse and reporting platform for a financial institution
Context
A financial institution's operational data was spread across systems that could each answer questions about themselves but not about the business as a whole.
Challenge
There was no single, reliable place to consolidate transactional and operational data for reporting, and no real-time visibility into how the underlying systems were performing.
Contribution
We built an end-to-end data warehouse and reporting pipeline using Apache NiFi for ingestion and Apache Superset for reporting, and separately stood up an ELK-based observability stack so operational health could be monitored as it happened. We also delivered an internal ticketing system to route issues surfaced by that monitoring.
Assurance
Data pipelines were built with access boundaries appropriate to financial data; no certification is claimed for the resulting platform.
Outcome
The institution gained a consolidated reporting layer built from previously scattered sources, and an observability stack that made system health visible instead of inferred after the fact.