Tim Robertson
Deputy Director And Head Of Informatics
Copenhagen, Capital Region of Denmark
Summary
🤩
Rockstar🎓
Top SchoolTim Robertson is a seasoned technology leader and architect with 13+ years building large-scale data crawling, indexing and analytics platforms, now serving as Deputy Director and Head of Informatics at GBIF in Copenhagen. He has been working in the Hadoop ecosystem since 2009 and specializes in Spark, HBase, Hive, NoSQL, SOLR and related big-data technologies, combining hands-on engineering with team leadership. A longtime GBIF engineer who progressed from developer to senior architect and now executive, he designs distributed pipelines for biodiversity and location-based data processing and visualization. Tim is an active open-source contributor—among other work, he added robust retry handling to SolrIO in the widely used Apache Beam Java SDK—highlighting his focus on resilient data ingestion. He brings an uncommon blend of deep systems-level experience and domain knowledge in biodiversity informatics, enabling pragmatic solutions for large-scale, geospatially rich datasets.
13 years of coding experience
8 years of employment as a software developer
Masters, Electronic engineering, Masters, Electronic engineering at University of Newcastle-upon-Tyne
Stackoverflow
101reputation
9kreached
6answers
0questions
Github Skills (19)
batching10
java10
javas10
batch10
apache-beam10
streaming10
retrying9
big-data9
retry-logic9
retry-policy9
retry-pattern9
mechanism9
cloudera6
classloader6
apache-beam-io6
Programming languages (26)
Github contributions (5)
apache/beam
Apr 2018 - Feb 2022
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Backend Developer
Backend DeveloperContributions:8 reviews, 62 commits, 51 PRs in 3 years 10 months
Contributions summary:Tim contributed to the Apache Beam project, which involves unified programming models for batch and streaming data processing. Their primary contribution focused on adding retry configurations to the SolrIO write operations within the Java SDK, enhancing the resilience of data ingestion. The commits involved modifying the Java code to include retry mechanisms for handling potential exceptions during Solr writes. This suggests a focus on backend development and improving the reliability of data pipelines within the Apache Beam ecosystem.
golangpythonstreaming-databeambatch
gbif/hadoop-compress
Sep 2014 - Oct 2018
Contributions:21 commits, 5 pushes, 6 comments in 4 years 1 month
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