Senior Backend & Data Engineer

Java · Spring Boot · Distributed Systems · Data Platforms · Azure

I build the quiet systems that keep business moving.

Senior backend engineer with 10+ years building Java, Spring Boot, and Kubernetes microservices for telecom and finance.

Selected work Resume

20 → 2 min

file processing

Weeks → days

new-feed onboarding

25% ↓

operational overhead

Layered arches in charcoal, terracotta and orange with a circuit motif

JAVA / SPRING BOOT

MICROSERVICES / REST

AZURE / KUBERNETES

NEXT.JS / TYPESCRIPT

20 → 2 min

file processing

Weeks → days

new-feed onboarding

25% ↓

operational overhead

Case Studies

TD Securities (Endava)

Data Engineer · Toronto

Cut data upload cycles from 20 minutes to 2

Modernized data-intensive applications for Azure Kubernetes Service and built Java-orchestrated Spark and Databricks workflows to migrate Apache Iceberg datasets from HDFS to Unity Catalog-managed Delta Lake tables.

•Optimized core data handling workflows with high-throughput batch inserts, cutting file-upload processing time from 20 minutes to under 2 minutes
•Designed a configuration-driven API Source Loader framework that abstracted ingestion complexity and reduced new data-feed onboarding time from weeks to days
•Instrumented Spring Boot services with OpenTelemetry to expose application and performance metrics for collection and monitoring in Datadog
•Modernized data-intensive monolithic applications for AKS by separating deployable modules, containerizing Spring Boot services, and creating Dockerfiles and Helm charts for repeatable deployments
•Developed Java and Spring Boot POCs to create and trigger Spark-based migrations of Apache Iceberg datasets from HDFS to Unity Catalog-managed Delta Lake tables, packaging and deploying workloads with Databricks Jobs and Asset Bundles

Java · Spring Boot · AKS · Apache Iceberg · Delta Lake · Databricks · OpenTelemetry · Datadog · Helm

Amdocs Canada (Zenith SS)

Software Developer · Toronto

Reduced operational overhead 25% with automated recovery

Engineered concurrent Java data pipelines and built the Automatic Recovery Tool (ART), a Spring Boot service that detected and remediated data inconsistencies across high-volume billing workflows.

•Engineered concurrent Java data pipelines using Google Pub/Sub to process debit and surcharge events with low latency and improved scalability
•Designed and deployed scalable Spring Boot microservices on AWS using EC2, S3, RDS, and Lambda
•Built a Spring Boot-based Automatic Recovery Tool (ART) to detect and remediate data inconsistencies and generate actionable reports, reducing operational overhead by 25%
•Designed and developed a high-volume bulk charge and tax loading capability, reducing billing processing time by 20% and increasing operational throughput

Java · Spring Boot · AWS · Google Pub/Sub · REST APIs · SQL

Personal

Systems Engineer · Toronto

Production-grade homelab for continuous learning

Self-hosted infrastructure for testing new technologies and maintaining personal services, with redundant storage, network segmentation, reverse-proxy routing, secure external access, and automated TLS certificate management.

•Design and operate a self-hosted platform using Proxmox VE, Unraid, Docker, and Kubernetes
•Redundant storage with network segmentation for isolated service tiers
•Reverse-proxy routing with secure external access via Nginx
•Automated TLS certificate management

Proxmox VE · Unraid · Docker · Kubernetes · Nginx · TLS/SSL

Selected Builds

Homelab

Production-grade self-hosted infrastructure running Kubernetes, CI/CD pipelines, monitoring stack, and network services.

Kubernetes

Docker

ArgoCD

Prometheus

E-commerce admin

Multi-tenant admin dashboard for managing products, orders, and analytics. Built with Next.js, integrated with Stripe for payments and Clerk for authentication.

Next.js

React

Stripe

Clerk

Live →Code →

Storefront

Modern e-commerce storefront with product catalog, shopping cart, and checkout flow. Headless CMS architecture consuming admin API.

Next.js

React

Tailwind CSS

Stripe

Live →Code →

Preview

TallyNest

Expense tracking and budget management application with category-based tracking and reporting.

React

Node.js

Express

MongoDB

Writing

View all →

September 23, 2026

Consistent Hashing, Actually Working: From Modulo to a Java Ring with Virtual Nodes

“Design a distributed cache.” You say hash(key) % N. The interviewer nods, then asks: “A node dies at 3 AM. What happens?” If your answer is “we rehash everything,” you’ve just told them your cache has a planned outage every time the …

Ditching Plex Pass: Jellyfin 12 with Hardware Transcoding in Docker

Plex keeps moving features behind Plex Pass, and this month it finally got personal: hardware transcoding — the thing that lets a $150 mini-PC serve 4K to five devices at once — is paywalled. Meanwhile Jellyfin 12 shipped on September 7th (.NET 10, FFmpeg 8.1, a rewritten …

The 3 A.M. Toolkit: Unix One-Liners for Triaging a Dying Java Service

It’s 3 A.M. PagerDuty is screaming, the error rate graph looks like a hockey stick, and your Java service is dying. You have SSH, a shell, and about ten minutes before someone important wakes up. This is the triage ladder I actually run, in order, with the exact one-liners. …

JUnit 6 Just Landed in Your Spring Boot 4.1 BOM: What Actually Changed

You bumped spring-boot-starter-parent to 4.1, ran the build, and noticed something in the test output: junit-jupiter:6.x. Nobody asked for it, nothing in your test code changed, and everything still passes. So what did you just get — and what breaks the day it doesn’t? …

java

spring-boot

testing

Contact

Let's connect

Open to backend engineering roles, data platform projects, and technical consulting.

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Education

M.Tech Computer Science

National Institute of Technology, Rourkela

2014–2016

B.Tech Computer Science & Engineering

Uttar Pradesh Technical University, Lucknow

2009–2013