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Achyuth Rapolu

Mid-level Python Backend Developer specializing in APIs, automation, and data pipelines

Inspira FinancialMontclair State UniversityNew Jersey, USA4 Years ExperienceMid Level

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About

Backend Python engineer with end-to-end ownership of secure financial data systems integrating banking/credit/payment platforms, including automated ingestion and reconciliation of large financial statements. Built modular Dockerized Django REST services with pandas-driven validation/normalization and Postgres/Mongo persistence, and supported a phased migration from legacy VM services to AWS containers with stateless refactors and parallel-run integrity checks (run IDs/checksums). Works closely with platform teams on GitOps/CI readiness and deployment coordination (e.g., ArgoCD-managed sync policies).

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Key Strengths

  • End-to-end ownership of backend APIs and data automation pipelines (architecture through production support)
  • Designing modular, dockerized Django REST architectures
  • Data quality/integrity engineering via validation/normalization layers using pandas
  • Migration execution from legacy VM deployments to AWS containerized setups (refactoring for statelessness, parallel validation)
  • Reliability techniques for ingestion pipelines (run identifiers, checksums)
  • Near-real-time/event-driven pipeline design with idempotency and observability
  • Concurrency control for scheduled jobs (distributed locks, run window guards)
  • Effective collaboration with platform teams (design reviews, runbooks, providing images/config requirements)

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Experience

Python Developer - API & AutomationInspira Financial · Aug 2024 – Present
Backend Python DeveloperApollo Healthcare · Jun 2021 – Jun 2023
Python DeveloperWipro Ltd. · Apr 2020 – May 2021

Education

Montclair State Universitymaster, Data Science (2025)
Vignan Institute of Technology and Aeronautical Engineeringbachelor, Computer Science Engineering (2020)

Languages

English

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Achyuth RapoluMid-level Python Backend Developer specializing in APIs, automation, and data pipelines