Ankit Pradhan

Architected and led distributed pipelines handling 100K+ PDFs, implementing service-level orchestration and coordination to ensure consistency and reliability across millions of records. Designed cluster-based coordination mechanisms for multi-service workflows, achieving strict consistency without row-level locking, analogous to Kubernetes-style resource orchestration. Built multi-tenant ingestion platform supporting CSV, XML, and fixed-width data formats, enabling safe parallel processing and configurable workflow orchestration. Optimized cloud-native infrastructure and autoscaling strategies using Kubernetes, KEDA, and Terraform, improving reliability and reducing resource consumption by 30%. Developed data-intensive dashboards and APIs for large-scale operational workflows, enabling fast querying and real-time observability over millions of entities.

Architected a distributed export pipeline in NestJS (AWS Fargate, S3, SQS, KEDA, Orkes) processing 100K+ PDFs in under 60 minutes, with a real-time React dashboard for progress monitoring and reporting. Built a configurable multi-vendor data ingestion interface with NestJS backend APIs supporting CSV, XML, and fixed-width uploads with validation, reducing data errors by 45%. Developed a financial transaction dashboard in React with real-time updates, audit trails, and NestJS-backed reporting features. Optimized API response times and implemented efficient data fetching across PostgreSQL, MongoDB, and Redis, improving page load times and responsiveness. Led frontend standards and performance optimization (lazy loading, code splitting, caching, Core Web Vitals). Oversaw production monitoring and incident response for NestJS backend and React frontend services, maintaining 99.9% uptime SLA.

Drove decomposition of a monolithic codebase into microservices, increasing release velocity 3× while maintaining system-wide coordination and data integrity. Implemented GitOps CI/CD pipelines with GitHub Actions, Flux, and GCP Workload Identity Federation, enabling autonomous deployment and environment isolation. Built real-time streaming services for blockchain data using Spring Boot, Kafka, and gRPC, handling high-throughput, multi-service workloads with strong reliability guarantees. Implemented federated GraphQL architecture for service-to-service data orchestration, enabling scalable access patterns across multiple services. Established automated E2E testing practices with Cypress, achieving 85%+ regression coverage to ensure high-quality service deployments.