Mrugank Ray is a Senior Software Engineer with 8 years of experience building scalable backend and full-stack systems using Django, DRF, React, Kafka/RabbitMQ, and AWS. He focuses on performance, reliability, and clean architecture, with measurable wins like reducing a critical script's memory use by 60% and fixing AWS Parameter Store throttling to bring API latencies from frequent timeouts to milliseconds. His background spans startups and enterprise environments, from ML/DL product work in healthcare to serverless Node.js at PureSoftware, giving him both research-driven and production-hardened perspectives. Based in Odisha, India, he is open to backend/full-stack roles where he can apply his strengths in async processing, systems optimization, and pragmatic API design.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Electronics and Telecommunications, Bachelor of Technology - BTech, Electronics and Telecommunications at Trident Academy of Technology (TAT), Bhubaneswar
The goal of this project is to build a docker cluster that gives access to Hadoop, HDFS, Hive, PySpark, Sqoop, Airflow, Kafka, Flume, Postgres, Cassandra, Hue, Zeppelin, Kadmin, Kafka Control Center and pgAdmin. This cluster is solely intended for usage in a development environment. Do not use it to run any production workloads.
Contributions:14 commits, 8 pushes in 2 months
airflowcassandradockerflumehadoop
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