Goncalo Castro is a Big Data Developer with a decade of experience building data pipelines and analytics platforms, currently based in Amsterdam and working at ABN AMRO. He combines practical engineering—Hadoop, Spark, Kafka and Cassandra—from consultancy projects with a disciplined focus on maintainable, configurable connector code, evidenced by his contributions improving configuration and error handling in the popular Lenses.io Stream Reactor Kafka connectors. A former trainer who rapidly learns and teaches many languages and frameworks, he brings strong mentoring and code-quality instincts to teams. Practical, curious and collaborative, he actively seeks new technologies to experiment with and consistently aims to turn competent work into better outcomes through continuous learning.
10 years of coding experience
5 years of employment as a software developer
Telecomunications, Electronics and Computers, Telecomunications, Electronics and Computers at Instituto Superior de Engenharia de Lisboa
Estudos Gerais, Translation, English Literature and Cinema, Estudos Gerais, Translation, English Literature and Cinema at Universidade de Lisboa
A collection of open source Apache 2.0 Kafka Connector maintained by Lenses.io.
Role in this project:
Back-end Developer
Contributions:16 commits in 1 day
Contributions summary:Goncalo primarily refactored and improved the configuration and constants within the Bloomberg Kafka connector. They moved constants into separate files and added configuration settings, enhancing the structure and maintainability of the codebase. They also added and improved configuration options related to error handling within the InfluxDB and MongoDB connectors. Further improvements were made in the configuration of the InfluxDB and MongoDB connectors.
PySpark test helper methods with beautiful error messages
Contributions:2 PRs, 13 pushes, 1 branch in 4 months
pythontest-helpersparkerrorpyspark
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