Varna Bharath Chander Reddy
Open to Work | Software Engineer | Backend Development | Python, FastAPI, Django | Kafka, Spark, Redis | AWS, Kubernetes, Terraform | FinTech
- Role
- Software Engineer at PayPal
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Varna Bharath Chander Reddy
Finance & FP & A professional with 6+ years of experience in financial planning, budgeting,…
Experience
Software Engineer
Jul 2024 — Present · US
Engineered Python-based backend services using FastAPI and Django REST Framework to handle real-time, instant cross-borderremittances, multi-currency payouts, and digital wallet transfers for U.S. and global customers.• Built RESTful and GraphQL APIs with FastAPI and Ariadne, enabling merchant dashboards, finance tools, and compliance systemsto access live transaction, payout, and settlement data, reducing manual reporting by 35%.• Integrated PayPal and partner bank Webhooks with Kafka, developing Python consumers to process high-frequency events suchas instant transfers, refunds, FX rate updates, payout retries, and chargebacks with millisecond-level latency, handling over 1Mevents daily.• Implemented streaming analytics pipelines using Apache Spark, PySpark, Kafka Streams, and Redis to monitor transactionthroughput, payout success rates, liquidity buffer usage, and cross-border trends in real time. Enabled 98% payout success rateacross 50+ currencies.• Managed transactional data in PostgreSQL and MongoDB, supporting dynamic FX rules, merchant configurations, settlement logic,and flexible JSON-based payout data.• Developed live dashboards with React.js, TypeScript, Chart.js, and Material UI, providing treasury, operations, and complianceteams with real-time visibility into transaction flows, payout failures, settlement delays, and fraud alerts, cutting reconciliationtime by 40%.• Built microservices architecture in Python and Node.js for event-driven workflows, including ledger synchronization, frauddetection triggers, instant payout validation, and automated reconciliation.• Containerized services with Docker, deployed on AWS EKS using Helm charts, and implemented blue-green deployments forzero-downtime production updates.• Configured AWS infrastructure for real-time event processing: EKS for orchestration, Lambda for dynamic payout adjustments,SQS for retries, S3 for reconciliation archives, and CloudWatch for proactive monitoring.
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