Prathit Malik
SDE-3 (Data Platform)
India
Summary
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Rockstar🎓
Top SchoolPrathit Malik is an SDE-3 specializing in data platforms with six years of hands-on experience building cloud-native, real-time ingestion and CDC systems across AWS and Kubernetes. He has designed production Spark-on-Kubernetes infrastructures, JSON-configurable Flink and Spark frameworks, and end-to-end DynamoDB/Postgres CDC pipelines using Kinesis, Debezium, Flink, Spark and Hudi, driving latencies from hours to minutes. A pragmatic engineer, he focuses on scalable, cost-effective solutions that simplify team workflows and enable self-service (e.g., introducing DBT and configurable pipeline frameworks). He contributes to Apache Hudi—adding Kafka key metadata support and hardening Avro conversions—demonstrating impact in notable open-source big-data tooling. Based in India, he pairs strong systems design with mentorship, routinely optimizing platform efficiency while helping teams adopt streaming-first architectures.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Electronics and Communications Enginerring, Bachelor of Engineering - BE Electronics and Communications Enginerring at Thapar Institute of Engineering & Technology12th Non medical, 12th Non medical at kendriya vidyalaya No.1 Amritsar cantt
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
javas10
avro10
kafka10
big-data10
spark10
apache-hudi10
java10
data-engineering10
data-pipelines9
data-pipeline9
aws-glue9
stream-processing9
json8
test-automation8
Programming languages (4)
Github contributions (5)
apache/hudi
Aug 2023 - Mar 2025
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:8 reviews, 7 PRs, 15 comments in 1 year 7 months
Contributions summary:Prathit contributed to the Apache Hudi project by implementing features related to Kafka integration. Specifically, they added the Kafka key as a metadata column for JSON and Avro Kafka sources and implemented associated tests. They also refactored code and fixed potential null pointer exceptions within the Avro conversion and other related classes. Further, they addressed missing serde properties post migration from HiveSync to GlueSync.
stream-processingbigdatahudiincrementalapacheflink
prathit06/hudi
Aug 2023 - Mar 2025
Upserts, Deletes And Incremental Processing on Big Data.
Contributions:1 PR, 23 pushes, 10 branches in 1 year 7 months
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