Personal Information
Organization / Workplace
San Francisco Bay Area, San Francisco Bay Area United States
Occupation
Chief Data Engineer at PayPal
Industry
Technology / Software / Internet
Website
practicalcloudcomputing.com/
About
I currently serve as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, I held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. I earned my BS and MS degrees in CS from Cornell University, where I focused on Distributed Systems.
My body of work includes but is not limited to :
* Member of 4-person team leading Netflix's initial cloud platform (e.g. discovery, chaos monkey, routing, config)
* LinkedIn's federated search typeahead (a.k.a. auto-complete) engine
* LinkedIn's self-service Marketing Analyti...
Tags
data pipelines
cloud
aws
cloud computing
agari
big data
kafka
airflow
data streams
data science
data
apache
high availability
high scalability
linkedin
software engineering
fraud prevention
data infrastructure
machine learning
payments fraud
email fraud
redis
paypal
payments
streaming
stream processing
apache airflow
predictions
analytics
architecture
software development
linkedin big data infrastructure segmentation targ
scalability availability linkedin
maven
git
voldemort espresso databus linkedin
voldemort linkedin bigdata kafka hadoop databus
load balancing
netflix cassandra simpledb
qcon sf 2011
cassandra
oscon
netflix
oscond
amazon.com
netflix mobile cloud
netflix silicon valley cloud computing group 2011
netflix qcon simpledb s3 cloud amazon aws
See more
Presentations
(28)Likes
(8)SparkLabs Group Overview 11 2018
Bernard Moon
•
5 years ago
Scale at Reddit: Triple Your Team Size Without Losing Control
Atlassian
•
6 years ago
A Day in the Life of a Billion Packets (CPN401) | AWS re:Invent 2013
Amazon Web Services
•
10 years ago
Airflow @ Agari
Sid Anand
•
7 years ago
Resilient Predictive Data Pipelines (QCon London 2016)
Sid Anand
•
8 years ago
Resiliency through failure @ QConNY 2013
Ariel Tseitlin
•
10 years ago
LinkedIn Data Infrastructure (QCon London 2012)
Sid Anand
•
12 years ago
10+ Deploys Per Day: Dev and Ops Cooperation at Flickr
John Allspaw
•
14 years ago
Personal Information
Organization / Workplace
San Francisco Bay Area, San Francisco Bay Area United States
Occupation
Chief Data Engineer at PayPal
Industry
Technology / Software / Internet
Website
practicalcloudcomputing.com/
About
I currently serve as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, I held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. I earned my BS and MS degrees in CS from Cornell University, where I focused on Distributed Systems.
My body of work includes but is not limited to :
* Member of 4-person team leading Netflix's initial cloud platform (e.g. discovery, chaos monkey, routing, config)
* LinkedIn's federated search typeahead (a.k.a. auto-complete) engine
* LinkedIn's self-service Marketing Analyti...
Tags
data pipelines
cloud
aws
cloud computing
agari
big data
kafka
airflow
data streams
data science
data
apache
high availability
high scalability
linkedin
software engineering
fraud prevention
data infrastructure
machine learning
payments fraud
email fraud
redis
paypal
payments
streaming
stream processing
apache airflow
predictions
analytics
architecture
software development
linkedin big data infrastructure segmentation targ
scalability availability linkedin
maven
git
voldemort espresso databus linkedin
voldemort linkedin bigdata kafka hadoop databus
load balancing
netflix cassandra simpledb
qcon sf 2011
cassandra
oscon
netflix
oscond
amazon.com
netflix mobile cloud
netflix silicon valley cloud computing group 2011
netflix qcon simpledb s3 cloud amazon aws
See more