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Shubhendu Sangam Dash

Specializing in Java, ELK Stack, and REST API development, with a strong focus on building robust backend systems. Successfully developed an API that handles over 1 million requests daily, improving response time by 30%. Experienced in the MDM and finance industries, adhering to stringent data security standards. Known for excellent problem-solving skills and the ability to work effectively in agile teams.
  • Role

    Senior Software Engineer

  • Years of Experience

    9.2 years

Skillsets

  • TDD
  • CI/CD
  • Docker
  • ML
  • Oop
  • Performance Tuning
  • REST
  • Scalability
  • Spring MVC
  • System Design
  • BDD
  • data standardization
  • Design patterns
  • Distributed Systems
  • fuzzy matching
  • Generative AI
  • Spring AI
  • Spring Cloud
  • SQL
  • Kubernetes
  • Hibernate
  • JPA
  • Spring Boot - 5.0 Years
  • Elasticsearch
  • Spring Boot
  • Hibernate
  • Github
  • Jenkins
  • Jira
  • Spring Boot - 3 Years
  • Maven
  • Postman
  • Azure
  • Java
  • JUnit
  • Microservices
  • Apache Kafka
  • Batch Processing

Professional Summary

9.2Years
  • Feb, 2020 - Present6 yr 6 months

    Senior Software Engineer

    Syndigo
  • Mar, 2017 - Jan, 20202 yr 10 months

    Software Engineer

    Hexagon Global IT Services

Applications & Tools Known

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    Linux

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    Apache Kafka

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    Microsoft Azure

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    Jenkins

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    GitHub

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    Maven

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    Spring

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    Spring Boot

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    Hibernate

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    JPA

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    JUnit

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    Active MQ

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    ELK

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    Linux

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    Windows

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    Spring

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    Active MQ

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    Elastic Search

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    Kibana

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    Maven

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    JUnit 5

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    Kubernetes

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    GitHub

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    Jira

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    Postman

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    Maven

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    Azure Cloud

Work History

9.2Years

Senior Software Engineer

Syndigo
Feb, 2020 - Present6 yr 6 months
    Owned the architecture for a Java/Elasticsearch backend platform processing 1 million records across distributed clusters, reducing data-processing latency by 40% (from 100 ms to 60 ms). Designed custom query-optimization strategies across data sources, improving cross-domain analytics accuracy by 50% and removing manual reconciliation work for the BI team. Achieved 95% entity-matching accuracy across 1 million records using fuzzy matching, custom scoring algorithms, and data standardization in Elasticsearch. Re-architected the core Platform API into a modular, config-driven service in Java and Elasticsearch, enabling integration with 3 third-party systems and cutting new-integration onboarding time by 20%. Championed TDD adoption across the team, writing unit tests ahead of business logic for all APIs and achieving 88% code coverage, reducing production defects by 20%. Mentored 4 junior/mid-level engineers on coding standard and TDD practices.

Software Engineer

Hexagon Global IT Services
Mar, 2017 - Jan, 20202 yr 10 months
    Delivered 4 client engagements on Java/Spring platforms, consistently meeting delivery deadlines and contributing to client retention. Built 5 product modules in Java and Spring, contributing to a 20% increase in feature adoption and user satisfaction.

Achievements

  • Completed Java EE: RESTful Service from LinkedIn Learning University.
  • Completed Apache Kafka from LinkedIn Learning University.
  • Completed 8 months of training on Java Technology from Lara Technology.
  • Completed Java EE: RESTful Service with JAX-RS 2.0 from LinkedIn Learning University
  • Completed Apache Kafka from LinkedIn Learning University
  • 40% processing speed boost
  • 95% user matching accuracy
  • 50% improvement in data accuracy
  • 30% reduction in query response time
  • 25% improvement in retrieval accuracy
  • 20% boost in product functionality
  • 15% reduction in server downtime

Major Projects

3Projects

Football Match Prediction Platform

    Built a production-ready, multi-module Spring Boot platform predicting Premier League match outcomes using a stacked ensemble ML model (Random Forest + AdaBoost + Logistic Regression) with 47 engineered features across 10 phases, achieving structured confidence levels (HIGH/MEDIUM/LOW) on 33 seasons of historical data. Designed a 3-module architecture (prediction app, shared common library, model-training microservice) with 80+ REST endpoints, 609 unit tests, and GitHub Actions CI/CD; deployed via Docker Compose.

Data Standardization Pipeline

    Architected a 6-service microservices system for processing multi-source data using user-defined JSON transformation rules with 8 supported rule types. Built a data quality engine featuring penalty-based scoring, SHA-256 row-level duplicate detection, column profiling with type inference, heuristic rule suggestions, and async HMAC-signed webhook alerts with retry integrated with Grafana Loki for distributed tracing. Delivered a vanilla HTML/CSS/JS dashboard with live log viewer, diff preview panel, and paginated job result export; backed by an idempotent async job processor using the Strategy design pattern.

Transport Management System

    Built a full-stack TMS with Spring Boot 3 and React 18 covering fleet management, driver registry, trip lifecycle, booking with seat-capacity validation, invoicing with PDF export, and fuel cost-per-km analytics. Delivered enterprise-grade capabilities including multi-tenancy, audit logging, i18n, dark mode, Flyway-managed schema, Swagger/OpenAPI docs, and Docker Compose deployment.

Education

  • B.Tech in Electrical Engineering

    Biju Patnaik University of Technology (2016)

Certifications

  • Java ee: restful service from linkedin learning university

  • Apache kafka from linkedin learning university

  • 8 months of training on java technology from lara technology

  • Apache kafka

  • Java ee: restful service with jax-rs 2.0