BABALOLA Itunu Oyinkan

Early engineer in a newly established Frankfurt-based team, contributing to the entry point of Bloomberg’s real-time distributed market data pipeline, ingesting data from 500+ exchanges and 1,000+ contributors.
Develop and maintain low-latency C++ parsers for high-throughput market data feeds across the EMEA region.
Transform and normalize heterogeneous data formats into Bloomberg’s standard model, enabling real-time downstream consumption for analytics and trading systems.
Improve reliability, availability, correctness, and maintainability of feed processing pipelines through testing, validation, and architectural refinements.

Contributed to evolving a distributed trading automation system into a platform-as-a-service for real-time, event-driven applications.
Worked with Java, Spring Boot, and Apache Flink to process high-throughput streams of market data (quotes, RFQs) into rule-based automated trades.
Designed and implemented a standardized template for rapidly generating production-ready streaming applications using the internal framework.
Improved onboarding and system consistency by migrating existing real-time streaming applications to the new framework.

Early engineer on a new team, owning end-to-end development of a regulatory compliance reconciliation platform from initial design through production rollout.
Built a real-time reconciliation system using Python, Apache Kafka, and MySQL, processing high-volume financial data streams under concurrent workloads with strict correctness, latency, and regulatory requirements.
Implemented event-driven reconciliation workflows to continuously reconcile trading data across global venues (EMEA, APAC, Americas) against regulatory requirements.
Designed extensible abstractions to support rapid onboarding of new regulations and reconciliation workflows.
Drove platformization efforts to expose reconciliation capabilities as an internal service, enabling reuse across teams.

One of the founding engineers, leading end-to-end design and delivery of backend systems from initial architecture through production scale.
Led migration from monolith to event-driven microservices using Google Pub/Sub, enabling real-time data streaming, improved scalability, and fault isolation.
Designed and implemented high-throughput, low-latency data ingestion services in Java (JVM) using Spring Boot, integrating external platforms (Kustomer, Shopify, Intercom, Twilio, TaskRouter, TikTok).
Architected and developed a real-time billing and payouts system, ensuring consistency and correctness under concurrent workloads.
Built cross-product search capabilities with Azure Search and implemented dashboards to improve operational visibility.
Established CI/CD pipelines and engineering practices, improving deployment velocity and reliability in a high-availability environment.