Arujit Pradhan
Product Engineer Data Platform
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolArujit Pradhan is a Product Engineer with 10 years of experience building resilient data platforms and streaming systems, currently driving data streaming at Gojek from Bengaluru. He has deep hands-on expertise in Kafka, Spark, Hadoop, DynamoDB, Kubernetes and cloud-native data infrastructure, and has led projects that move data reliably from OLTP sources to S3/Delta-based warehouses. At Goibibo he built low-latency user-profiling services and scalable CDC and migration pipelines (Debezium → Kafka → S3/Redshift/Delta), and has experience with performance-sensitive real-time systems and CI testing for data infra. His background spans ML and computer vision prototypes (OCR, GANs, face recognition) and pragmatic engineering—writing ETLs, microservices and tooling in Python, Scala, Java and Go. Known for combining systems-level thinking with product focus, he often bridges platform reliability and analytics needs to deliver sub-100ms responses for downstream services. Notably, he pairs production-grade data engineering with model experimentation, reflecting a rare blend of streaming, storage and ML prototype work.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, 7.93, Bachelor of Technology (B.Tech.), Computer Science, 7.93 at NIT SilcharHigher Secondary, Science, 85, Higher Secondary, Science, 85 at FM College
Odia, Hindi, English, Bengali
Stackoverflow
1,132reputation
237kreached
19answers
9questions
Github Skills (75)
postgresql10
sink10
stream-processing10
influxdb10
cloud-native10
streaming10
dataops10
bigquery10
kafka10
prometheus10
apache-kafka10
data-lake10
streaming-data10
apache-flink10
descriptor10
Programming languages (5)
Github contributions (5)
arujit/demo-redis-sql
Jul 2017 - Aug 2021
redis sql demo with python tcp server
Contributions:11 commits, 4 PRs, 8 pushes in 4 years 1 month
pythonredissqltcp-server
arujit/dagger
Sep 2021 - Feb 2024
Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.
Contributions:2 PRs, 3 pushes, 2 branches in 2 years 5 months
apache-flinkcloud-nativestreaming-data
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