Jaebin Yoon

Director of Engineering

San Francisco, California, United States24 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led teams to build scalable data platforms at Netflix.
Expert in real-time data processing and analytics.
Architected solutions for high-volume data transport.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Real-time Data Infrastructure and Analytics.

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Skills

Core Skills

Data MovementData PlatformBig Data AnalyticsDistributed SystemsReal Time Data InfrastructureData TransportData PipelineCloud ComputingData ArchitectureBig DataAnalytics PlatformWeb DevelopmentData VisualizationMobile ApplicationsNetwork Protocol TestingFirmware DevelopmentNetwork DevelopmentProtocol Implementation

Other Skills

Data MeshData BridgeData ConnectorsFlinkSparkKafkaCDC data movementCassandraIcebergMessaging as a ServiceStream ProcessingApache BeamDataflowPubSubBigTable

About

As a Software Engineering Manager at Netflix with over ten years of experience in real-time data infrastructure and scalable distributed systems, I collaborate with teams to build platforms that process and analyze trillions of events daily. My work focuses on architecting solutions like Kafka and Flink to enable reliable data transport and stream processing at scale, empowering teams across Netflix to derive actionable insights. Previously, I contributed to developing robust data pipelines and infrastructure for search, user segmentation, and product recommendations. My expertise spans big data analytics, cloud environments, and distributed systems, driven by a commitment to operational excellence and innovation. Passionate about advancing real-time data processing, I continuously strive to enable teams with cutting-edge tools and scalable solutions.

Experience

24 yrs 6 mos

Total Experience

4 yrs 1 mo

Average Tenure

8 yrs 6 mos

Current Experience

Netflix

4 roles

Software Engineering Manager - Data Movement

Feb 2026 – Present · 4 mos · San Francisco Bay Area

I lead the Data Movement abstraction, Connector team in Netflix Data Platform, which is responsible for Data Mesh, Data Bridge products and streaming/batch connectors for those.

Data MovementData MeshData BridgeData Platform

Software Engineering Manager - Data Movement Connector Platform

Promoted

Mar 2024 – Feb 2026 · 1 yr 11 mos · San Francisco Bay Area

I lead a talented team responsible for building and managing batch and streaming data connectors for diverse data stores, leveraging technologies like Flink, Spark, and Kafka to enable the reliable movement of large-scale data across the Netflix ecosystem.

Data ConnectorsFlinkSparkKafkaData MovementBig Data Analytics

Tech Lead - Data Movement Connector Platform

Jan 2023 – Mar 2024 · 1 yr 2 mos · San Francisco Bay Area

Worked on batch and streaming data connectors for CDC data movement solutions across various data stores.
Led an effort to support large scale Cassandra CDC events to Iceberg, optimizing data transfer efficiency.
Collaborated with cross-functional teams at Netflix to ensure seamless data movement processes.

CDC data movementCassandraIcebergData MovementDistributed Systems

Senior Software Engineer / Tech Lead - Real Time Data Infrastructure

Nov 2017 – Dec 2022 · 5 yrs 1 mo · San Francisco Bay Area

Netflix is a data-driven company, handling trillions of events per day to answer many application and business related questions. At the center of providing scalable solutions to these challenges is the Netflix Real Time Data Infrastructure team.
Our team is responsible for building Messaging as a Service (Kafka) and Stream Processing as a Service (Flink) to collect, transport, aggregate, process and visualize various events. Other engineering teams at Netflix use the platform and build realtime data processing applications and insights on the platform.
Within the team, I've been responsible for architecting/building/operating the data transport layer with Kafka clusters providing them as a service to the rest of Netflix teams.

KafkaFlinkMessaging as a ServiceStream ProcessingReal Time Data InfrastructureData Transport

Honey (joinhoney.com)

Principal Software Engineer

May 2017 – Nov 2017 · 6 mos · Greater Los Angeles Area

Designed and implemented scalable, robust realtime/batch data pipeline with Apache Beam (Dataflow), PubSub, BigTable, BigQuery in Google Cloud Environment (Scala, Python, Go)
Replaced and re-architected ad-hoc python apps with MongoDB with the reliable and flexible data pipeline using the streaming processing technology and scalable storage (BigTable, BigQuery) to process billions of events
Built the system infrastructure for a relevant search, user segmentation, and product recommendation

Apache BeamDataflowPubSubBigTableBigQueryData Pipeline+1

Openx

2 roles

Principal Software Engineer

Feb 2017 – May 2017 · 3 mos

Led the next generation ad platform initiative and proposed initial architecture
Led the next generation data architecture discussions and proposed the one covering various aspects of data architecture including :
evolutionary data ingestion for realtime/batch pipeline
meta data management
business continuity plan for big data
hybrid data processing on both cloud and on-premises
Data governance

Data architectureData governanceData ArchitectureBig Data

Staff Software Engineer

Sep 2014 – Jan 2017 · 2 yrs 4 mos

Spearheaded adoption of Druid as new analytics platform to provide multi-dimensional queries/reports over huge event data (more than 20B ad requests, hundreds of billions of events per day)
Built realtime data pipeline with Kafka, Spark Streaming, Druid
Implemented Data analytics dashboard with AngularJS
Implemented Spark Streaming stateful event joins (with Scala)
Built server-side header bidding with Kubernetes, Google Pub/Sub, BigQuery on Google Cloud Platform (with Elixir)
Architected Ad-Quality pipeline with Kafka
Worked on/Debugged Apache Storm for real time Ad-Quality analytics
Built Mobile SSP reporting pipeline (with python)

DruidKafkaSpark StreamingAngularJSAnalytics PlatformData Pipeline

Intuit

Sr. Software Engineer

Mar 2012 – Sep 2014 · 2 yrs 6 mos · Woodland Hills, California

Web-app backend development in GoPayment team using Groovy/Grails, Java
Web-app frontend development with AngularJS and LESS (CSS) (Full stack development)
iOS development in GoPayment team (Onboarding process)
Javascript Test Environment with Grunt, Karma, Nodejs
Data mining with Hadoop ecosystem
Data visualization in web browsers with javascript (D3)

GoPaymentGroovyJavaHadoopWeb DevelopmentData Visualization

Geodelic systems, inc

Sr. Software Engineer

Nov 2009 – Mar 2012 · 2 yrs 4 mos · Culver City, California

Worked within a small group of engineers in a startup environment wearing various hats (developer, product owner, sys admin, etc)
Developed web and mobile applications for instant deals, location POI search using application stack of Django, Nginx, Gunicorn, Apache, Haproxy, PostgreSQL, MongoDB, RabbitMQ in AWS clouding environment
Designed and implemented back-end RESTful APIs for the system and designed database models for various system components

DjangoNginxPostgreSQLMongoDBWeb DevelopmentMobile Applications

Spirent communications

2 roles

Sr. Software Engineer

Jan 2003 – Nov 2009 · 6 yrs 10 mos · Calabasas, California

Involved in architecture, design and implementation of the flagship product, Spirent TestCenter (network protocol testing equipment).
Member of the architecture team developing prototypes for new technologies in rapid development process. Worked as a technical lead within firmware team.
Successfully delivered key components of products such as messaging modules in C, C++ and Python, Linux kernel porting for custom boards, high performance Linux network drivers and those were proven to be reliable and efficient.
Provided development platforms for other developers in challenging environment where various cross compile/packaging platforms coexist. Created and introduced new tools and technologies to others.
Successfully delivered industry first multiple OS solution on multi-core CPU to reduce cost and maximize core usage.

CC++Linux kernelNetwork Protocol TestingFirmware Development

Software Engineer

Jun 2001 – Dec 2002 · 1 yr 6 mos · Calabasas, California

I implemented many network protocols for Smartbit TeraMetrics (Network test environment) such as IGMP v1,v2,v3, arp, ipv6 neighbor discovery, router discovery, MLD, PPP, STREAM based protocols, etc. The challenging part was that you have to implement protocols to test other protocol implementations on various network devices, which requires scalable and precise implementation of protocols.
I was responsible for linux kernel development and maintenance. I tried to enhance network performance in linux environment and learned many aspects of network performance during that time.

Linux kernelnetwork protocolsNetwork DevelopmentProtocol Implementation