Stefan Bocutiu
Director Of Engineering at Lenses.io
Stony Stratford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolStefan Bocutiu is a Director of Engineering with over a decade of experience building and leading teams that deliver real-time streaming platforms and data pipelines, primarily around Kafka, Spark and Flink. A co-author of "Programming Kotlin" and longtime advocate for streaming architectures, he blends hands-on backend development with product-minded leadership at Lenses.io and Celonis. His open-source contributions include robust Kafka Connect integrations (notably a Bloomberg source) and resilience improvements to the popular fabric8 Kubernetes client, evidencing deep practical experience in production integrations and fault-tolerant systems. Comfortable across JVM and .NET ecosystems, Stefan brings a rare mix of low-level connector implementation skills and strategic operational knowledge of Kafka ecosystems on Kubernetes. Based in the UK, he’s known for shipping durable, high-throughput data solutions and translating complex market-risk and real-time requirements into pragmatic engineering outcomes.
10 years of coding experience
13 years of employment as a software developer
MSc in Computer Science Computer Science, MSc in Computer Science Computer Science at “Babes-Bolyai” University of Cluj-Napoca, RomaniaCollegiul National Gh. Lazar
Github Skills (20)
kubernetes10
kafka-connect10
java-client10
kafka10
jdbc10
java10
kubernetes-client10
scala10
javas10
sql10
kubernetes-pods10
dsl9
apim9
data-pipelines9
api9
Programming languages (9)
Github contributions (5)
lensesio/stream-reactor
Mar 2016 - Jun 2021
A collection of open source Apache 2.0 Kafka Connector maintained by Lenses.io.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 285 reviews, 283 commits in 5 years 4 months
Contributions summary:Stefan's primary contribution appears to be the implementation of a Bloomberg Kafka connect source. The commits show the creation of a new connector for the Bloomberg data feed, including defining constants, data structures, and the core logic for subscribing to data updates. The code demonstrates a focus on integrating with the Bloomberg API and integrating its data into a Kafka-Connect based pipeline for data processing.
dcosdata-streamstreamskafka-connectsql-engine
confluentinc/kafka-connect-jdbc
Apr 2016 - Jun 2016
Kafka Connect connector for JDBC-compatible databases
Role in this project:Back-end Developer
Back-end DeveloperContributions:102 commits in 1 month
Contributions summary:Stefan implemented the JDBC sink project, adding the necessary code to write to JDBC-compatible databases using Kafka Connect. They developed the `JdbcSinkTask` class, which is the main entry point for the task, and the `JdbcDbWriter` class responsible for writing records. They also introduced the concept of a `PreparedStatementBuilder` and error handling policies. The contributions include support for both single record and batched inserts, enhancing the flexibility of the JDBC connector.
sinkkafka-connectorconnectorstreamingdatabases
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