Results-driven Software Engineering leader with 20+ years of experience in the financial (FinTech) domain. Proven track record of delivering large-scale multi-year programs from conception to successful launch. Expertise in architecting and developing highly scalable distributed systems in cloud, on-premises, and HPC environments. Skilled in building high-performing global teams and driving towards simple solutions.
Managed, architected, and developed a highly scalable solution in the Counterparty Credit Risk space, focusing on both compute and storage scalability to efficiently handle Citi's Credit Risk Exposure for risk monitoring and regulatory reporting.
Environment: GCC, C++, Java, Python, Linux RHEL 7, BitBucket, IBM Cloud Compute, AWS, EC2, EKS, S3, AWS FSx Lustre, ECS, Citi Internal ECS, Openshift Kubernetes 3.11, MongoDB, IBM Symphony, Confluent Kafka 5.3, Splunk, Kibana, Docker Container, GPFS, NFS, REST API, EBJenkins, RLM, RHEL, Shell Scripting, ZeroMQ, Google ProtoBuf.
Responsible for managing and engineering E*TRADE Ultra Low-Latency Market Data Platform, connecting to multiple exchanges for real-time feed.
Environment: GCC C++, Linux CentOS 5.5/5.8, Shell Scripting, Oracle Coherence 3.6/3.7.1, Java (JDK SE 8), JWS WS, Tortoise SVN, JIRA
Leadership & Collaboration: