Prathit Malik
SDE-3 at Navi
India
Summary
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Rockstar🎓
Top SchoolPrathit Malik is an SDE-3 (Data Platform) based in India with 6 years of experience building low-latency streaming and batch data systems. He has driven real-time customer-journey and retention pipelines at Tokopedia and Navi, rearchitecting systems to cut average latencies from hours to under a minute using NoSQL stores like BigTable/HBase. He’s built resilient ETL and data warehouse solutions (100GB+ datasets), managed Airflow orchestration, and routinely ships production integrations across Kafka, Spark/Beam, BigQuery and GCP. An active open-source contributor to Apache Hudi, he added Kafka-key metadata and hardened Avro/JSON conversions to improve streaming-to-storage workflows. Known for bridging backend and data engineering, he focuses on pragmatic, production-first fixes that prevent subtle failures and simplify operational handoffs.
5 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
stream-processing9
aws-glue9
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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