Ashutosh Kumar

Led a team of 4 engineers to build scalable backend systems and data processing infrastructure powering analytics, automation, and reporting workflows in Agile sprints to deliver scalable, backend and data solutions. Architected and maintained 25+ robust ETL (Extract, Transform, Load) data pipelines to facilitate advanced analytics, generate comprehensive reporting, and produce key performance indicators (KPIs). Engineered a scalable data ingestion and transformation framework using Argo Workflows and BigQuery, aggregating multi-brand datasets into 50+ raw tables, transforming them into standardized analytics tables. Developed an internal fail-safe automation API, reducing 98% of manual deployment time for client websites using remote SSH, 3rd-party API integrations, validation layers, and workflow orchestration. Designed, optimized, and maintained 50+ REST APIs and 70+ ORM data models to support evolving high-throughput backend systems, enabling data ingestion, pipeline triggering, analytics, and automation systems. Migrated and refactored core product architecture from a tightly coupled monolith to a modular SaaS-ready multi-tenant backend system, enabling on-boarding of 7+ clien

Built 15+ CI/CD pipelines using Azure DevOps, deploying via VMs, Azure Container Registry (ACR), and artifact feeds across sandboxed environments with custom subnetting and routing rules. Explored Docker, Kubernetes, and Terraform through 3+ internal project shadowing, gaining hands-on experience with infrastructure-as-code, container orchestration, and cloud-native deployments.

Relevant Coursework: Data Structures, Algorithms, Database Management Systems, Computer Networks, Object-Oriented Programming, Operating Systems