Prabeesh Keezhathra - Senior Data Engineer - Behaviour Data Products

Prabeesh Keezhathra

Senior Data Engineer - Behaviour Data Products - Global Data Products

Berlin, Germany

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Summary

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Senior

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Top School

Prabeesh Keezhathra is a Senior Data Engineer based in Berlin with 12 years of experience building and modernizing large-scale data platforms across e-commerce and mobility. At HelloFresh he has led migrations from on-prem Cloudera to AWS, modernized legacy Python/Spark pipelines with Airflow, and stabilized profitability reporting—raising pipeline success from 60% to 95%. His background spans Apache Spark, Beam, Airflow and cloud data stacks (AWS/GCP), and he actively mentors teams and runs knowledge-sharing forums to elevate engineering practices. An early contributor to streaming integrations in major OSS projects, he added MQTT support to Apache Spark and Bahir and updated Twitter integrations in Apache Storm, demonstrating a knack for bridging real-time ingestion with analytics. He blends hands-on backend development with product-oriented data governance, delivering reliable, scalable data products that accelerate business decision-making. Notably, his open-source work enabled Spark to consume MQTT streams—an uncommon but impactful capability for IoT and real-time use cases.

12 years of coding experience

7 years of employment as a software developer

Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Government Engineering College Palakkad, Kerala

English, Malayalam

Stackoverflow

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Github Skills (15)

mqtt10

apim10

storm10

javas10

big-data10

spark10

api10

spark-streaming10

apache10

java10

mqttnet10

streaming10

scala10

back-end-development9

distributed-systems9

Programming languages (6)

JavaCSSShellScalaHTMLPython

Github contributions (5)

apache/bahir

Oct 2013 - Feb 2017

Mirror of Apache Bahir

Role in this project:

Back-end Developer

Contributions:13 commits, 1 PR, 1 comment in 3 years 4 months

Contributions summary:Prabeesh primarily contributed to the development of an MQTT streaming adapter for the Apache Bahir project. Their work involved creating an MQTTInputDStream class and associated receiver, enabling the project to subscribe to messages from an MQTT broker. The user also provided an example MQTT word count application. Further contributions involved code refactoring and adhering to project coding standards.

connectorbahirapachedatastreamjava

apache/spark

Jan 2015 - Jun 2016

Apache Spark - A unified analytics engine for large-scale data processing

Role in this project:

Back-end Developer

Contributions:9 PRs, 46 comments in 1 year 5 months

Contributions summary:Prabeesh primarily contributed to integrating the MQTT protocol into the Apache Spark streaming framework. This involved creating an `MQTTInputDStream` to receive messages from an MQTT broker and integrating it into the `StreamingContext`. They added necessary dependencies, implemented example code showcasing word count functionality with MQTT, and made subsequent code improvements. The user's work enabled Spark streaming to ingest data from MQTT sources.

analyticspythondata-processingsqlapache

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