Adarsh Jha — Senior Software Engineer

Sr. Software Engineer 4 years of experience Data Engineering ( Big data, pyspark, ETL ), Backend Engineering( database, networking , api development - Spring Boot, Next.js Server Side Django, Go ), Supabase, R2, S3, Cloudflare Frontend Engineering( Html, CSS, JS, React on Next.js ), CI/CD - Azure DevOps, Docker, Kubernetes, Linux Cloud Computing: Azure Programming Languages: Javascript, Java, Python, Go, TypeScript Experience: Designed and developed critical backend, frontend and infrastructure for the latest product focusing on post-order process and for sales orders, from zero to one. The project was deployed on AWS, Cloudflare and developed using Spring-boot, Java, Postgres, Apache Kafka, MongoDB, Quartz, Python and Apache Spark. The project grew to 100 B2B clients in a couple of quarters. •Took ownership of the end-to-end development flow for core features like Tracking, Payments, Courier Integration, Analytics Reporting and User Communications( Whatsapp and Email ). The processes were to handle transactions and ensure idempotence, reliability, consistency and maintainability on a scale of more than 100,000 sales orders per day, while interacting with more than 10 shipping providers, and a communication partner to ensure adequate load on those third-party services based on the SLAs discussed. •Partly assumed DevOps responsibilities to ensure smooth operations. Implemented services in Elastic Kubernetes and managed databases with MongoDB and Postgres, achieving 40% cost savings and 50% improved deployment efficiency. Automated on-call ticket analytics using Python and Spark, saving over 50% of manual effort. Optum: Designed and maintained an end-to-end data extraction and analytics platform that handles data from over 10 different sources with an aggregate volume of over 2TB/day, achieving approximately $500K in annual savings. Deployed on Azure using technologies such as Apache Spark (Databricks), Azure Data Factory, Python, Java, Spring Boot, Go, SQL Server, Postgres, and Next.js. • Promoted to Senior Software Engineer within two years for exceptional contributions. • Enhanced ETL services, increasing data pipeline speed by 15,000x and supporting 15 concurrent jobs (over 10 million records each), reducing operational costs by 30%. • Managed five services in Go and Java (Spring Boot) on Kubernetes with 100+ replicas, processing 2GB/minute. • Modernized the frontend reporting platform with Next.js and Material UI, reducing load time by 10x and integrating third-party services like ServiceNow and OHID.

Stackforce AI infers this person is a Backend and Data Engineering specialist in the SaaS and Healthcare sectors.

Location: Delhi, India

Experience: 5 yrs