Deborshi Bhattacharjee profile photo 1 on Tal

Deborshi Bhattacharjee

Backend Software Engineer | Java | Spring Boot | Distributed Systems | Microservices | Kafka | MongoDB | Elasticsearch

Bengaluru

2+ years of work experience

Tekion Corp
Feb 20268 mosPresent

Bengaluru, Karnataka, India

•Built 5 production microservices using Java, Spring Boot, MongoDB, and Kafka; owned and evolved 20+ backend services and designed, documented, and maintained 100+ REST APIs across Vehicle Service, Deals, Finance and Insurance (F&I), and Vehicle Inventory. •Designed Elasticsearch indexing, search, and fuzzy-matching capabilities for vehicle catalogs containing 30K–100K+ vehicles per tenant across 1,300 dealerships, increasing benchmark accuracy from 2/15 to 15/15 successful queries. •Optimized MongoDB queries and indexes for Vehicle Inventory, reducing query latency from 230–400 ms to under 100 ms and improving API P95 latency from 600 ms to 200 ms. •Led OpenAPI contract governance across Retail Engineering; developed a shared Spring Boot exception-handling library adopted by 10+ teams and services, standardizing contracts across 50+ APIs. •Re-architected a monolithic workflow into an event-driven Kafka microservice using asynchronous processing and progressive rollout, reducing workflow failures by 30% and improving service modularity and deployment independence. •Built and launched a commercial external DMS integration product supporting 2,000 dealerships and 7+ entity types, automating data synchronization and reducing manual data entry by approximately 95%. •Rebuilt the Task Management service as a standalone Kafka-based microservice, redesigning its MongoDB data model to process 10,000 deal-update events daily and increasing European adoption from 10% to 70%. •Architected parts matching, aggregation, rules-engine, and recommendation capabilities supporting 1,300 dealerships, 15,000 daily transactions, and 1,500 daily recommendations. •Deployed and operated backend services on AWS ECS, while supporting the transition to Amazon EKS/Kubernetes and maintaining production reliability across distributed services.
IBM
Oct 20191 yr 7 mosApr 2021

Noida, Uttar Pradesh, India

•Optimized an update script by introducing concurrent processing and metadata pre-processing, reducing update duration from 3 days to 2 days—a 33% reduction in processing time. •Automated application access provisioning for internal users, replacing manual ticket creation and user-ID updates; reduced access provisioning time from 2 hours to 15 minutes—an 87.5% reduction. •Triaged and resolved 100+ production issues across US, Japan, and UK environments, performing impact assessment, root-cause analysis, corrective actions, and resolution tracking while maintaining services within a 99.9% SLA. •Recognized as part of the fastest-performing team for completing a planned two-day DR exercise in 1.5 days, with zero defects or execution issues.
PWC SDC Kolkata
Sep 20187 mosMar 2019

kolkata

•Supported PwC UK audit teams through data assurance and Computer-Aided Audit Techniques (CAAT) analysis across audit, compliance, and risk engagements. •Performed data transformation, data cleansing, data preparation, data loading, reconciliation, and validation using ACL, Monarch, UltraEdit, Microsoft Excel, SQL, Alteryx, Python, and UiPath. •Developed scripts, analytical procedures, and complex CAAT tests to identify anomalies, duplicate records, missing values, unusual transactions, and control exceptions based on audit requirements. •Extracted and analyzed financial data from SAP, JD Edwards, PeopleSoft, and Sage datasets, including General Ledger, Trial Balance, Chart of Accounts, Profit and Loss, and Balance Sheet data. •Prepared audit-ready workpapers, exception reports, testing documentation, reconciliations, and analytical summaries while collaborating with PwC UK audit teams to resolve data-quality issues.
GitHub
@deborshiBhattacharjee
LeetCode
@deborshi1308

Deborshi’s AI Stack

anthropic apis
anthropic apis

Education

Bachelor of Technology, Computer Engineering

Adamas Institute Of Technology

20144 yrs2018

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Headline

Backend Software Engineer | Java | Spring Boot | Distributed Systems | Microservices | Kafka | MongoDB | Elasticsearch

About

I am a backend software engineer with 7+ years of experience building and operating distributed systems, event-driven microservices, and production APIs. At Tekion, I progressed through three engineering roles while working on a cloud-native automotive platform spanning Vehicle Service, Deals, F&I, and Vehicle Inventory. I built five production microservices from scratch, owned and evolved 20+ backend services, and designed and maintained 100+ REST APIs. Reduced API P95 latency from approximately 600 ms to 200 ms. Reduced Vehicle Inventory read-query latency from approximately 230–400 ms to under 100 ms. Built systems processing approximately 10,000 deal-update events per day. Supported workflows across approximately 1,300 dealerships and 15,000 daily transactions. Led API governance and published a shared exception-handling library adopted by multiple teams. Owned production migrations, deployments, on-call support, and incident resolution. Earlier, I supported enterprise production environments as a System Engineer – Mainframe at IBM and worked in data and automation engineering at PwC Service Delivery Center using ACL, SQL, Alteryx, Python, and UiPath.

Location

Bengaluru

AI stack

anthropic apis

Work experience

Software Engineer 2 at Tekion Corp, Feb 2026 - Present · 8 mos, Bengaluru, Karnataka, India, •Built 5 production microservices using Java, Spring Boot, MongoDB, and Kafka; owned and evolved 20+ backend services and designed, documented, and maintained 100+ REST APIs across Vehicle Service, Deals, Finance and Insurance (F&I), and Vehicle Inventory. •Designed Elasticsearch indexing, search, and fuzzy-matching capabilities for vehicle catalogs containing 30K–100K+ vehicles per tenant across 1,300 dealerships, increasing benchmark accuracy from 2/15 to 15/15 successful queries. •Optimized MongoDB queries and indexes for Vehicle Inventory, reducing query latency from 230–400 ms to under 100 ms and improving API P95 latency from 600 ms to 200 ms. •Led OpenAPI contract governance across Retail Engineering; developed a shared Spring Boot exception-handling library adopted by 10+ teams and services, standardizing contracts across 50+ APIs. •Re-architected a monolithic workflow into an event-driven Kafka microservice using asynchronous processing and progressive rollout, reducing workflow failures by 30% and improving service modularity and deployment independence. •Built and launched a commercial external DMS integration product supporting 2,000 dealerships and 7+ entity types, automating data synchronization and reducing manual data entry by approximately 95%. •Rebuilt the Task Management service as a standalone Kafka-based microservice, redesigning its MongoDB data model to process 10,000 deal-update events daily and increasing European adoption from 10% to 70%. •Architected parts matching, aggregation, rules-engine, and recommendation capabilities supporting 1,300 dealerships, 15,000 daily transactions, and 1,500 daily recommendations. •Deployed and operated backend services on AWS ECS, while supporting the transition to Amazon EKS/Kubernetes and maintaining production reliability across distributed services.

Mainframe System Programmer at IBM, Oct 2019 - Apr 2021 · 1 yr 7 mos, Noida, Uttar Pradesh, India, •Optimized an update script by introducing concurrent processing and metadata pre-processing, reducing update duration from 3 days to 2 days—a 33% reduction in processing time. •Automated application access provisioning for internal users, replacing manual ticket creation and user-ID updates; reduced access provisioning time from 2 hours to 15 minutes—an 87.5% reduction. •Triaged and resolved 100+ production issues across US, Japan, and UK environments, performing impact assessment, root-cause analysis, corrective actions, and resolution tracking while maintaining services within a 99.9% SLA. •Recognized as part of the fastest-performing team for completing a planned two-day DR exercise in 1.5 days, with zero defects or execution issues.

Associate at PWC SDC Kolkata, Sep 2018 - Mar 2019 · 7 mos, kolkata, •Supported PwC UK audit teams through data assurance and Computer-Aided Audit Techniques (CAAT) analysis across audit, compliance, and risk engagements. •Performed data transformation, data cleansing, data preparation, data loading, reconciliation, and validation using ACL, Monarch, UltraEdit, Microsoft Excel, SQL, Alteryx, Python, and UiPath. •Developed scripts, analytical procedures, and complex CAAT tests to identify anomalies, duplicate records, missing values, unusual transactions, and control exceptions based on audit requirements. •Extracted and analyzed financial data from SAP, JD Edwards, PeopleSoft, and Sage datasets, including General Ledger, Trial Balance, Chart of Accounts, Profit and Loss, and Balance Sheet data. •Prepared audit-ready workpapers, exception reports, testing documentation, reconciliations, and analytical summaries while collaborating with PwC UK audit teams to resolve data-quality issues.

Education

Bachelor of Technology, Computer Engineering, Adamas Institute Of Technology

Public links

github: https://github.com/deborshiBhattacharjee

leetcode: https://leetcode.com/deborshi1308