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Prateek Praharaj

@prateekpraharaj

Message

I am a backend engineer optimizing high-throughput, cost-efficient data systems.

India

Message

What I'm looking for

I’m seeking a backend/data-engineering role where I can design scalable, cost-efficient streaming systems, lead end-to-end migrations and optimizations, and contribute in an ownership-driven, collaborative team with strong observability and cloud-first practices.

I am a backend engineer who designs high-throughput, cost-efficient data systems and leads complex migrations with operational ownership.

At Games24x7 I led a Presto-to-Hudi data lakehouse migration using Kinesis and AWS Glue in Scala, cutting monthly costs by 50% and achieving 1,000,000 events/min throughput, while redesigning message handlers into an event-driven micro-architecture to eliminate CPU exhaustion. At Lemnisk I scaled the Single Source of Truth service to 300,000 events/min with Kubernetes and ZooKeeper, and refactored migrations to reduce runtime from 6 hours to 30 minutes.

I seek roles where I can own system design, optimize streaming and data pipelines, and build observable, reliable platforms that reduce cost and operational toil.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer (Backend)

Current

Games24x7

Mar 2025 - Present (6 months)

Led migration from a costly Presto cluster to an Apache Hudi-based data lakehouse with Kinesis and AWS Glue, achieving 1,000,000 events/min throughput and reducing costs by 50% ($12k/month). Redesigned notifier message handler into a micro-event-driven Kafka pipeline to eliminate CPU exhaustion and improve peak traffic handling.

Scala Hudi AWS Glue Amazon Kinesis Kafka Performance Tuning Cost Optimization

Software Engineer (Backend)

Lemnisk

Jun 2023 - Feb 2025 (1 year 8 months)

Implemented horizontal scaling for the Single Source of Truth service on Kubernetes, increasing processing capacity from 75k to 300k events/min and integrating ZooKeeper/Curator for safe concurrent updates. Refactored HBase-to-MongoDB migration to reduce runtime from 6 hours to 30 minutes and built observability (Kafka logs, NiFi, Grafana) to cut on-call troubleshooting time by 60%.

Kubernetes Java ZooKeeper Apache Curator HBase MongoDB Multithreading Grafana Kafka

Backend Intern

Groww

Jan 2023 - Jun 2023 (5 months)

Led end-to-end migration of a legacy portfolio service, rewriting core business logic and streamlining API flows. Automated batch processing with Spring Batch remote partitioning, reducing execution time from 1 day to 6 minutes.

Java Spring Boot API Design Batch Processing Performance Optimization