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Abhijeet Mishra

Backend Engineer with 4+ years of experience building scalable, distributed systems and microservices. Skilled in Java, Go, Kafka, PostgreSQL, and Redis. Designed high-throughput event pipelines processing 20M+ events daily, CDC pipelines with Debezium, and optimized APIs for performance and reliability.

  • Role

    Software Developer Backend

  • Years of Experience

    3.5 years

Skillsets

  • Microservices
  • ECS
  • EKS
  • Event-driven systems
  • Gin
  • IntelliJ IDEA
  • Kafka
  • Kubernetes
  • Lambda
  • EC2
  • Redis
  • Rest APIs
  • S3
  • SOLID principles
  • SQS
  • Hibernate
  • Maven
  • Postman
  • Spring Boot
  • AWS
  • Docker
  • Elixir
  • Go
  • JMeter
  • Phoenix
  • PostgreSQL
  • Java
  • Swagger
  • ALB
  • API Gateway
  • Clean Architecture
  • CloudWatch
  • Datadog
  • Design patterns

Professional Summary

3.5Years
  • Nov, 2025 - Present 4 months

    Software Developer Backend

    Civix
  • Mar, 2024 - Oct, 20251 yr 7 months

    Software Developer Backend

    Gamezop
  • Mar, 2023 - Feb, 2024 11 months

    Software Developer Backend

    Zs
  • Dec, 2021 - Feb, 20231 yr 2 months

    Software Developer Backend

    LoanFrame

Applications & Tools Known

  • icon-tool

    IntelliJ IDEA

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    Chrome Developer Tools

  • icon-tool

    Postman

  • icon-tool

    Jmeter

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    Swagger

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    AWS

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    Docker

Work History

3.5Years

Software Developer Backend

Civix
Nov, 2025 - Present 4 months
    Owned the design and implementation of a high-scale Spring Batch job to export ~20 million UOCAVA voter records from internal VMS to an external Enhanced Voting System. Designed chunk-oriented batch processing with a chunk size of 3,000, aligned with third-party API constraints, ensuring optimal throughput without overloading downstream systems. Implemented a custom Spring Batch ItemReader to fetch UOCAVA voter data in paginated chunks (3,000 records), integrating with a third-party election API while tracking processed and failed voters.

Software Developer Backend

Gamezop
Mar, 2024 - Oct, 20251 yr 7 months
    Developed a Java recommendation API with automated cron recomputation for a 15-day rolling score, ensuring 99.9% data freshness. Engineered a Java Kafka stream pipeline processing 20M+ events daily, using separate topologies for generic event sessionization and click/impression aggregation to drive real-time article recommendations. Constructed a real-time Game Ratings System in Java Spring Boot to capture and return like/dislike counts, increasing engagement tracking accuracy by 25%. Designed a Debezium + Kafka CDC pipeline for email-refiner, streaming DB triggers from key tables, automated classification into blocked tables, cutting ops overhead by 40%. Delivered a suite of metadata APIs for onboarding games, reducing integration time by 60%. Implemented a game tagging system to categorize thousands of games, enabling personalized discovery and improved search by 30%.

Software Developer Backend

Zs
Mar, 2023 - Feb, 2024 11 months
    Developed multiple complex authentication flows, including mnemonic-based login, partner wallet authentication, and linking them with other login options (email, phone, Google, Apple, Okta).

Software Developer Backend

LoanFrame
Dec, 2021 - Feb, 20231 yr 2 months
    Developed automated Java Spring Boot lending scripts, processing 200+ applications/day, resulting in an average loan volume of $3M+. Automated invoice upload, disbursal, and repayment workflows using Scala Akka scheduler, boosting daily disbursal by 100%. Designed and deployed secure AWS S3 architecture for bulk document storage integrated with lender APIs, improving accuracy by 45%. Implemented AWS SQS for asynchronous processing, increasing system throughput by 30%.

Achievements

  • Developed automated lending script using Java; processed 200+ applications per day; resulted in an average loan volume of $3M+
  • Led automation of invoice upload, disbursal and repayment using Scala scheduler & Akka actor system; boosted daily disbursal by 100%
  • Constructed secured authentication solution through integration of OAuth 2.0 features to the lender's web-hook REST API; strengthened data security and minimized unauthorized access attempts by 90%
  • Optimized API response time by 20% using Java concurrency; reduced Spring Boot microservice overhead and improved resource utilization by 25%
  • Integrated lenders REST API with AWS S3 using Java Spring Boot; enabled bulk document uploads and boosted accuracy of the process by 45%

Major Projects

2Projects

QEats

    A scalable distributed backend for a food-ordering app.

QMoney

    A visual stock portfolio analyzer.

Education

  • Bachelor of Technology in Computer Science

    University of Petroleum and Energy Studies (2021)

Certifications

  • Crio.do, java backend development, 2022