Headline

Software Engineer with Backend & Automation Experience

About

Backend Software Engineer with 2+ years of experience building microservices, REST APIs, and distributed systems. At HME, I delivered a 67% runtime improvement, architected data reconciliation systems, and scaled validation infrastructure to 800+ workflows. At Bidgely, I debugged production issues in energy data pipelines and built test automation that reduced bugs by 25%. Passionate about system reliability, clean code, and scalable backend systems. Open to Backend SWE roles where I can own systems end-to-end

Location

Bengaluru

AI stack

claude code

codex

gemini

ChatGPT

Work experience

Software Engineer at HME India, Mar 2025 - Present · 1 yr 7 mos, Bengaluru, Resolved a critical data pipeline bottleneck using parallel processing, reducing runtime from ~1 hour to ~20 minutes (67% improvement). Architected a data reconciliation system across Microsoft Fabric and SaaS platforms to detect anomalies before they impacted customer dashboards. Designed REST API workflows in TypeScript with reusable patterns for microservice communication and transactional consistency. Engineered and scaled an automated validation system supporting 800+ business workflows, reducing manual effort by 50% and improving system reliability. Integrated API and data validation workflows into Jenkins CI/CD, including third-party service integrations and backend reliability checks. Collaborated with product and engineering teams to identify edge cases, define reliability standards, and contribute to scalability decisions.

SDE at Bidgely, Apr 2024 - Jan 2025 · 10 mos, remote, Developed Java and Spring Boot backend workflows, implementing production business logic and working with Spring ApplicationContext and bean configuration. Designed and owned REST API workflows using Postman and SQL, identifying data consistency issues and improving backend service reliability across distributed services. Developed threshold-based email and SMS notification workflows in Spring Boot, implementing business logic to trigger alerts when meter data exceeded defined energy consumption thresholds. Debugged and resolved energy calculation issues by tracing meter data in Amazon S3 date-partitioned datasets, identifying root causes and implementing fixes that improved data accuracy.

Education

Bachelor of Engineering - BE, Information Science/Studies, CMR Institute Of Technology

Public links

github: https://github.com/dhwani-datttani

leetcode: https://leetcode.com/dhwanidattani