Key deliverables:
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Built the next gen low latency bond trading platform in the cloud. Intent is to decommission the monolithic platform.
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Platform modernization included Trading desk, Exchange's Matching engine, RFQ State Machine and Kubernetes based infrastructure. Platform integrations with FIX, OMS, UI, Allocations etc.
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This is a multi-year roadmaps for modernization, setting realistic expectations for the milestones.
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Incredible throughput speeds of 200K TPS with a end to end p95 latencies of 20ms.
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Built team from ground up with top talent to transform the vision to reality.
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Developed comprehensive architecture strategy to completely overhaul which is reactive, modular, event driven and cloud native to handle the scale.
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Provided recurring updates to the key stakeholders including CTO, CIO and Head of Trading.
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Earned strong reputation across enterprise, engineering teams, senior leadership and vendors.
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Tech stack includes Flink, Kafka, Core Java, Akka, Rest/gRPC, Protobuf/Avro, Python, AWS EKS, Mongodb, Datadog, Chaos engineering, Terraform, CI/CD, Automated regression test suites and SRE automation.
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Enterprise Patterns includes event driven, dash mesh, domain driven, state management, exact once semantics, CQRS, constant time lookups, functional decomposition, RPO/RTO in secs and Enterprise integration patterns.
Key deliverables:
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Led the prestigious undertaking to establish Kafka - Data in motion as an Enterprise Capability.
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Shepherd Kafka initiative to "success" after several failures by the previous lead engagements.
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Complexities involved in bringing in cloud innovation, company bureaucracy, stalled processes across departments, toll gate processes etc.
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Worked with several key stakeholders such as CIO, CTO, Enterprise architects, Confluent Vendors, Info Sec, Risk, Compliance and other deparments.
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Enterprise standards included Messaging Infrastructure automation, resiliency, cross region replication, establishing Data Mesh patterns across enterprise, tenant governance rules.
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Built a solid reputation from get-go.
Key deliverables:
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Lead data lake strategy.
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Lead teams of 6-10 across onsite and offshore.
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Working with key stake holders including CTO, CIO, Department leads in gathering
requirements.
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Evaluated multiple technologies and came up with solutions for firm's needs.
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Expert on distributed computing stack both at Kubernetes and Big data stack.
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Hands on development experience on languages such as Java and 20+ Scala
Microservices.
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Solid Hands on experience in Kafka, Sql Server, Elastic, Neo4J, Prometheus and
Grafana.
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Built OLTP and OLAP solutions leveraging Hadoop and GPU db's.
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Batch reporting was brought down to mins instead of hours.
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OLAP reporting was brought down to sub-secs instead of secs.
Key deliverables:
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Engineer in implementing Digital reasoning for firm's Surveillance activities that monitors emails, chats, phone calls etc.
Click here for Forbes article
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Built on big data with NLP analytics.
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Led the effort of revamping the firm's compliance processes.
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Alternative data scrubbing for potential PII information in the data feeds.
Key deliverables:
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Capture and track health state of the stack, error logs and give instant alerts.
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Built 20+ microservices/agents that monitors wide range of software stack.
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Realtime monitoring stack which derive key KPIs range from
Microservices, Standalone applications in Java/Scala/NodeJS.
Kubernetes, Redhat.
Software stack: Elastic, Kafka, SQL server, MySql, Hadoop stack, Nifi.
Monitor business data.
Drill down from physical machines to docker containers to individual microservices for
identifying pain points.
Identify lineage of the data flows.
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APM products does not yet include modern monitoring including Dynatrace, NewRelic, AppDynamics,
SysD etc.