Fred Blundun
Chief Technology Officer at UnifiedCRM
London, England, United Kingdom
Summary
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RockstarFred Blundun is a London-based Chief Technology Officer with 12 years of hands-on experience building and validating data-intensive backend systems. He combines leadership at UnifiedCRM with a practical engineering background from Snowplow Analytics, where he contributed cross-language referer parsing libraries and strengthened event-tracking schema validation for a leading customer data infrastructure project. Earlier experience as a Strategist at Goldman Sachs adds a data-driven, analytical lens to his technical decision-making and product priorities. Comfortable shipping in Java, Scala, Ruby and Go, he blends test automation and refactoring expertise with product-aware architecture. Colleagues rely on him to translate complex tracking and attribution requirements into robust, maintainable implementations that scale.
12 years of coding experience
2 years of employment as a software developer
Github Skills (14)
scala10
javas10
json10
schema-validation10
json-schema10
java10
test-automation10
testing10
javascript9
thrift8
go6
ruby6
sbt5
maven5
Programming languages (14)
Github contributions (5)
snowplow/snowplow
Mar 2014 - Jun 2016
The leader in Next-Generation Customer Data Infrastructure
Role in this project:
Back-end & Test Automation Engineer
Back-end & Test Automation EngineerContributions:2 releases, 1361 commits, 39 PRs in 2 years 3 months
Contributions summary:Fred contributed to testing and improving the Snowplow tracker protocol. Their work involved refactoring and implementing tests for different event types, including ad impressions, clicks, and conversions, to ensure schema validation. The user also incorporated Chai expect module for schema validation and enhanced the testing framework by adding support for multiple scenarios. Furthermore, their contributions included refactoring and adding support for unit tests as well as the implementation of validation of event IDs.
gcpdatabehavioralserver-sidedata-warehouse
snowplow-referer-parser/referer-parser
Jun 2014 - Jul 2014
Library for extracting marketing attribution data from referrer URLs
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:42 commits, 3 comments, 2 issues in 6 days
Contributions summary:Fred primarily focused on modifying and expanding the Java and Scala implementation of the referer-parser library. They introduced new methods for parsing referer URLs and implemented a JSON-driven test suite. Additionally, the user refactored the Scala code to use JavaConversions for list conversions and removed some unnecessary dependencies. The user also worked on the Ruby and Go versions of the library, demonstrating familiarity with multiple programming languages.
referrerurlspythonattributiondata-extraction
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