Joey Echeverria
Senior Software Engineer at Netflix
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJoey Echeverria is a senior software engineer in San Francisco with 16 years of experience building large-scale data platforms and extraction workflows, currently focused on helping organizations unlock value from their data. He has led architecture and productization efforts—most notably shepherding Splunk’s Data Stream Processor from Rocana prototype to on-prem and cloud offerings—and now applies that systems-level thinking at Netflix. Joey combines deep distributed-systems and security expertise (contributions to Hue’s Kerberos/SPNEGO and Thrift SASL work) with hands-on backend engineering across open-source projects like Apache NiFi and Kite SDK. He has a strong track record in performance tuning, data ingestion, and interoperability across Hadoop ecosystems, rooted in an MS from Carnegie Mellon and years of mission-driven work at the NSA. Colleagues rely on him to turn ambiguous, high-impact problems into production-grade, secure data pipelines.
16 years of coding experience
17 years of employment as a software developer
M.S., Electrical and Computer Engineering, M.S., Electrical and Computer Engineering at Carnegie Mellon University
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (28)
avro10
apache-nifi10
flume10
python10
kerberos10
django10
authentication10
user-authentication10
hadoop10
java10
javas10
junit10
jtest10
parquet10
thrift10
Programming languages (4)
Github contributions (5)
kite-sdk/kite
May 2014 - Apr 2015
Kite SDK
Role in this project:
Back-end Developer
Back-end DeveloperContributions:464 commits, 12 PRs, 5 pushes in 10 months
Contributions summary:Joey primarily focused on improving the Kite SDK, specifically working on data management and file system operations. Their contributions include refactoring the Hadoop snappy native library check, adding type parameters to the Datasets and DatasetRepository APIs, and handling various GenericRecord implementations within FileSystemDatasetReader. They also added unit tests for utility methods and Spark job integrations. These changes demonstrate a focus on enhancing the SDK's core functionalities and ensuring compatibility with different data models.
hadoopjavasdkkite
apache/nifi
Jan 2015 - Jul 2015
Apache NiFi
Role in this project:Back-end Developer
Back-end DeveloperContributions:11 commits, 1 PR, 34 comments in 5 months
Contributions summary:Joey made several significant contributions to the Apache NiFi project, focusing on improving the Flume integration. They refactored code by switching to `getResourceAsStream()` and using try-with-resources. The user also addressed code quality by removing whitespace, adding license headers, and fixing POM errors. They introduced testing improvements such as using TemporaryFolder and updating logging levels.
javanifiapacheapache-nifi
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