U

Utkarsh Varshney

Software Engineer

Faridabad, Haryana, India1 yr 10 mos experience
Most Likely To Switch

Key Highlights

  • Engineered solutions processing millions of transactions daily.
  • Reduced operational bottlenecks in high-growth fintech platforms.
  • Achieved 40% reduction in onboarding time for clients.
Stackforce AI infers this person is a Fintech Backend Developer specializing in scalable payment systems and data pipelines.

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Skills

Core Skills

Backend SystemsData IngestionSecure SystemsReconciliation SystemsPayment InfrastructureLoan AutomationPayment SystemsPerformance OptimizationDatabase Management

Other Skills

AES-256AirflowAmazon S3Apache AirflowApache KafkaC++Cascading Style Sheets (CSS)CronDistributed SystemsEasebuzz APIExpress.jsFastAPIFlaskHTMLJava

About

I’m a passionate and performance-driven Software Developer with hands-on experience building scalable fintech systems, automating payments, and designing data pipelines that power reconciliation and settlement at scale. At Nakad and Credgenics, I’ve engineered solutions that process millions of daily entries and transactions, reduced operational bottlenecks, and improved adoption across high-growth fintech platforms. 🔧 Core Strengths 1. Architecting and implementing resilient backend systems 2. Designing and optimizing large-scale ingestion pipelines with Kafka, RabbitMQ, Redis, S3, and PostgreSQL 3. Building secure payment and settlement systems with encryption + event-driven monitoring 4. Enhancing financial platforms with multi-gateway routing, reconciliation automation, and big data ingestion 5. Translating complex financial workflows into scalable, reliable technical solutions 🚀 Key Achievements 1. Developed an eNACH auto-debit module handling 1L+ loans per batch, stabilized via distributed rate limiting 2. Automated ingestion of 1L+ daily entries and processed 3Cr+ historic records, cutting reprocessing time significantly 3. Engineered a secure settlement ingestion service (AES-256 + SFTP), reducing processing time by 30% with sub-ms latency 4. Built a manual reconciliation system with PostgreSQL state management, reducing reconciliation effort by 30% 5. Architected a Payment & Webhook Onboarding platform, reducing onboarding time by 40% for 30+ companies 🔍 What I’m Looking For I thrive in fast-paced environments where technology is the core business driver. I’m seeking opportunities to build and scale high-impact backend systems, real-time data pipelines, and financial infrastructure, where security, performance, and reliability are mission-critical. 💡 Let’s connect if you’re working on systems that demand scale, precision, and impact.

Experience

Nakad

SDE

Oct 2024Present · 1 yr 5 mos · Gurugram, Haryana, India · On-site

  • Working in Reconciliation, Payment and Intergration Team
  • Building scalable fintech systems to handle massive data and transactions.
  • 1. Automated Instamart ingestion (1L+ entries/day) with Airflow, Kafka, Redis & S3.
  • 2. Designed a one-time pipeline to process 3Cr+ historic entries with error recovery.
  • 3. Engineered secure settlement ingestion (SFTP + AES-256), cutting processing time by 30% with sub-ms latency.
  • 4. Architected Payment & Webhook Onboarding, reducing client onboarding by 40% for 30+ companies.
  • 5. Built a manual reconciliation system in PostgreSQL, reducing effort by 30%.
  • 🏆 Recognized with the Outstanding Achievement Award for high-impact contributions.
Amazon S3RabbitMQRedisApache KafkaAirflowJavaScript+7

Credgenics

2 roles

SDE

Jul 2024Sep 2024 · 2 mos · Noida, Uttar Pradesh, India · On-site

  • Worked on scaling the payment infrastructure powering loan automation.
  • 1. Developed eNACH module (Easebuzz API) for auto-debit, handling 1L loans per batch.
  • 2. Implemented Redis-based distributed rate limiting with exponential backoff.
  • 3. Enabled multi-gateway support, boosting adoption by 20%.
  • 4. Integrated Easebuzz gateway, scaling to 10K+ daily transactions across UPI, cards & net banking.
  • 5. Migrated services to SQLAlchemy ORM, improving efficiency by 30% and cutting query time by 25%.
  • ⚡ Strengthened fintech foundations in payments, loan processing, and high-scale systems.
FastAPIquartFlaskApache AirflowCronApache Kafka+6

SDE

Jan 2024Jun 2024 · 5 mos · Noida, Uttar Pradesh, India · On-site

FastAPIquartRedisPostgreSQLSQLApache Kafka+2

Education

Indian Institute Of Information Technology Allahabad

Bachelor of Technology - BTech — Information Technology

Jan 2020Jan 2024

Modern Vidya Niketan Sr. Sec School

Class XII

Jan 2018Jan 2019

Holy Child Public School, Faridabad

Class X

Jan 2016Jan 2017

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