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Apuroop Rachakulla

Software Engineer II | Distributed Systems | AWS (KMS, DynamoDB, Lambda) | High-Scale Data Migration (1.5B+ Records) | Low-Latency Backend Systems | NITW’23

Hyderabad

3+ years of work experience

ABC Fitness
Apr 20251 yr 5 mosPresent

Hyderabad, Telangana, India

- Worked on a large-scale data migration of 1.5B+ encrypted records from Entrust HSM to AWS KMS + DynamoDB across 11+ Oracle tables, achieving zero data loss and full auditability - Built fault-tolerant, parallel data pipelines with Redis checkpointing, reaching 100K+ records/sec throughput and sub-minute recovery, enabling seamless restarts - Re-architected legacy cron jobs into an event-driven system, improving system reliability, observability, and real-time failure detection - Owned end-to-end backend delivery (Java Spring Boot, AWS KMS, DynamoDB, Redis), driving a high-risk migration initiative independently
Khumbu Systems Inc.
Jun 20231 yr 11 mosApr 2025

Hyderabad, Telangana, India

- Designed a distributed caching layer (Redis + DynamoDB), reducing latency by 80% (3–4s → <800ms) and cutting DB calls by 60–70% - Implemented Redis failover mechanisms, achieving 99.99% uptime for critical services - Automated store onboarding & menu ingestion pipelines (CSV → S3 → DynamoDB), reducing manual effort by 90% and improving process accuracy to 95%+ - Built serverless pipelines (AWS Lambda + API Gateway) handling 10K+ requests/day, improving issue detection & resolution time by 30% via CloudWatch monitoring - Led integrations for enterprise restaurant clients, syncing 50K+ menu items with 99.95% data accuracy across distributed systems

Apuroop’s AI Stack

antigravity
antigravity
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opencode
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Education

National Institute of Technology warangal

Bachelor's degree, Chemical Engineering

National Institute of Technology warangal

20194 yrs2023

12th - Intermediate

Ramaiah Institute

20162 yrs2018

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Headline

Software Engineer II | Distributed Systems | AWS (KMS, DynamoDB, Lambda) | High-Scale Data Migration (1.5B+ Records) | Low-Latency Backend Systems | NITW’23

About

I’m a Software Engineer focused on building scalable, fault-tolerant backend systems and distributed infrastructure that perform reliably at high scale. Currently, I work on high-impact systems handling billions of records and real-time workloads. I’ve led the design of large-scale data migration pipelines (1.5B+ records) with zero downtime, built event-driven architectures to replace brittle batch jobs, and engineered low-latency systems processing 100K+ records/sec. My core strength lies in solving hard backend problems — data consistency, system reliability, and performance at scale. I enjoy taking ownership of complex systems end-to-end, from architecture to production, with a strong focus on observability, resilience, and clean design. I’ve worked extensively with: • Distributed Systems & Microservices • AWS (KMS, DynamoDB, Lambda, S3, CloudWatch) • Java (Spring Boot), Go • Redis, PostgreSQL, MySQL • Event-driven systems & fault-tolerant pipelines Beyond work, I like building systems from scratch — including a payment orchestration engine with strong idempotency guarantees, retry strategies, and observability baked in. I’m always interested in backend and distributed systems roles where I can work on high-scale infrastructure and solve meaningful engineering problems.

Location

Hyderabad

AI stack

antigravity

cursor

opencode

Work experience

Software Engineer 2 at ABC Fitness, Apr 2025 - Present · 1 yr 5 mos, Hyderabad, Telangana, India, - Worked on a large-scale data migration of 1.5B+ encrypted records from Entrust HSM to AWS KMS + DynamoDB across 11+ Oracle tables, achieving zero data loss and full auditability - Built fault-tolerant, parallel data pipelines with Redis checkpointing, reaching 100K+ records/sec throughput and sub-minute recovery, enabling seamless restarts - Re-architected legacy cron jobs into an event-driven system, improving system reliability, observability, and real-time failure detection - Owned end-to-end backend delivery (Java Spring Boot, AWS KMS, DynamoDB, Redis), driving a high-risk migration initiative independently

Software Engineer at Khumbu Systems Inc., Jun 2023 - Apr 2025 · 1 yr 11 mos, Hyderabad, Telangana, India, - Designed a distributed caching layer (Redis + DynamoDB), reducing latency by 80% (3–4s → <800ms) and cutting DB calls by 60–70% - Implemented Redis failover mechanisms, achieving 99.99% uptime for critical services - Automated store onboarding & menu ingestion pipelines (CSV → S3 → DynamoDB), reducing manual effort by 90% and improving process accuracy to 95%+ - Built serverless pipelines (AWS Lambda + API Gateway) handling 10K+ requests/day, improving issue detection & resolution time by 30% via CloudWatch monitoring - Led integrations for enterprise restaurant clients, syncing 50K+ menu items with 99.95% data accuracy across distributed systems

Education

Bachelor's degree, Chemical Engineering, National Institute of Technology warangal

12th - Intermediate, Ramaiah Institute

Public links

github: https://github.com/sairamapuroop