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Pratik Das Baghel

Senior Backend & Platform Engineer | Distributed Systems · AWS · Event-Driven Architectures | AI Infrastructure | SDE-3 Candidate

Bengaluru

6+ years of work experience

Amazon
May 20251 yr 4 mosPresent

Bengaluru, Karnataka, India

At Amazon, I played a pivotal role in developing and enhancing the GST Reconciliation Platform. I was responsible for core backend services, ensuring transactional correctness and state machine integrity. My efforts in designing an event-driven processing pipeline significantly improved integration efficiency, while my leadership in migrating the platform to a dedicated AWS account ensured zero downtime.
CommScope
Jun 20232 yrsMay 2025

• Served as the founding engineer for a cloud-native time-series analytics platform, supporting over 50,000 active devices. • Designed and implemented core ingestion, storage, analytics, and alerting layers from the ground up. • Achieved a 10x improvement in KPI query performance and reduced reporting latency from 2 hours to just 15 minutes. • Mentored junior engineers and led technical decision-making to ensure cross-team alignment on architecture decisions.
CommScope
Aug 20211 yr 11 mosJun 2023

CommScope
Aug 20201 yr 1 moAug 2021

Chhattisgarh, India

Pratik’s AI Stack

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Education

National Institute of Technology Raipur

Bachelor of Technology - BTech, Information Technology

National Institute of Technology Raipur

20164 yrs2020

PCM

MGM Senior secondary school sector-6

20132 yrs2015

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Headline

Senior Backend & Platform Engineer | Distributed Systems · AWS · Event-Driven Architectures | AI Infrastructure | SDE-3 Candidate

About

I build backend systems that move real money at scale — and keep them running when things go wrong. For the past 6 years, I've designed and owned distributed systems across fintech-adjacent domains (GST reconciliation, financial event pipelines) and telecom analytics platforms — working at the intersection of data correctness, scalability, and operational reliability. What I actually do: → Design and own event-driven architectures (SQS, SNS, Kinesis, Kafka) processing millions of records daily → Drive zero-downtime infrastructure migrations across AWS accounts with 17+ downstream consumers → Build financial reconciliation systems where transactional consistency and idempotency are non-negotiable → Ship LLM-powered operational agents that reduce incident investigation time and onboarding overhead → Lead cross-functional technical delivery — from requirements and data modeling to production rollout Selected impact: - Owned matching system for a GST reconciliation platform processing ₹24.4B+ annually (15M+ ASINs) - Sole engineer on a zero-downtime migration from shared to dedicated AWS account — no production impact, 17 consumers migrated - Improved KPI query performance 10x and cut reporting latency from 2 hours to 15 minutes at CommScope My edge: I sit at the junction of platform reliability and financial correctness — comfortable owning the full technical lifecycle from architecture to production, and equally comfortable driving decisions across teams. Currently exploring Senior / SDE-3 opportunities in backend infrastructure, platform engineering, or AI infrastructure at companies building at scale.

Location

Bengaluru

AI stack

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Work experience

Software Development Engineer 2 at Amazon, May 2025 - Present · 1 yr 4 mos, Bengaluru, Karnataka, India, At Amazon, I played a pivotal role in developing and enhancing the GST Reconciliation Platform. I was responsible for core backend services, ensuring transactional correctness and state machine integrity. My efforts in designing an event-driven processing pipeline significantly improved integration efficiency, while my leadership in migrating the platform to a dedicated AWS account ensured zero downtime.

Engineer 2 R&D at CommScope, Jun 2023 - May 2025 · 2 yrs, • Served as the founding engineer for a cloud-native time-series analytics platform, supporting over 50,000 active devices. • Designed and implemented core ingestion, storage, analytics, and alerting layers from the ground up. • Achieved a 10x improvement in KPI query performance and reduced reporting latency from 2 hours to just 15 minutes. • Mentored junior engineers and led technical decision-making to ensure cross-team alignment on architecture decisions.

Engineer 1 R&D at CommScope, Aug 2021 - Jun 2023 · 1 yr 11 mos

Engineering Traine at CommScope, Aug 2020 - Aug 2021 · 1 yr 1 mo, Chhattisgarh, India

Education

Bachelor of Technology - BTech, Information Technology, National Institute of Technology Raipur

PCM, MGM Senior secondary school sector-6