Available for opportunities

Hi, I'm Deepak.
I build scalable backend systems.

Senior Associate Technology with 7+ years building scalable, event-driven systems for fintech, banking, and high-throughput data platforms. Currently leading backend design for the CBUAE-regulated Open Finance platform at Emirates NBD — powering ENBD X and Liv X. Track record of architectural decisions that ship measurable outcomes: 75% memory reduction, 45% cloud cost savings, 10x search performance, 4x faster dataset processing.

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Deepak Atariya

Senior Associate Technology

Dubai, UAE

7+
Years Exp
10+
Projects
25+
Tech Stack

Expertise

Skills & Technologies

Backend Development

Node.js, NestJS, Java, Spring Boot, Python — microservices and API design (REST, gRPC).

Distributed Systems

Apache Kafka, AWS SQS, event-driven microservices, CQRS, idempotent processing.

Cloud & Performance

AWS (ECS, ECR, Batch, Lambda, SQS, S3), CI/CD, performance engineering, memory-leak detection.

Open Finance & Fintech

CBUAE-regulated platforms, consent management, account information sharing, payment initiation.

Experience

Where I've Built

Senior Associate Technology — Open Finance & AI Platform
Nov 2024 – Present
Emirates NBD (via Synechron) · Dubai, UAE
  • Architected backend services for the CBUAE-regulated Open Finance platform (Comply & Compete flows) powering ENBD X and Liv X — secure consent management, account information sharing, and payment initiation for thousands of retail banking users.
  • Designed event-driven microservices in TypeScript/Node.js with Apache Kafka for high-volume financial transactions with idempotency, replay safety, and SLA-bound latency; defined contracts consumed by 5+ downstream teams.
  • Established platform-wide memory-leak detection guidelines and performance-testing protocols that reduced median API latency and eliminated recurring OOM incidents.
  • Led end-to-end Playwright test automation across critical consent and payment journeys, cutting production defects by 40% and shortening release sign-off cycles by ~30%.
  • Built an internal code-quality dashboard integrating Checkmarx and SonarQube with one-click auto-fix, giving engineering managers a live view of quality scores across 10+ squads.
  • Shipped a desktop Git operations tool for standardising release tracking across production and non-production environments, reducing release coordination overhead by ~50%.
Software Engineer — Data Platforms & Cloud Infrastructure
Sep 2022 – Sep 2024
Morningstar · Gurugram, India
  • Designed a multi-tenant CLI processing 2–5 GB financial data files daily; replaced load-in-memory with streaming architecture, reducing memory footprint by 75% and unblocking larger client workloads.
  • Architected a serverless data pipeline on AWS ECS, ECR, and Batch using the choreography pattern — cut infrastructure cost by 45% while sustaining 99.9% uptime.
  • Re-designed data-sharding strategy for large-dataset jobs, taking end-to-end processing from 8 hours to 2 hours (4x improvement) without adding compute capacity.
  • Built a reusable, generic SFTP downloader package adopted by 5+ teams as the standard for secure external file transfer.
  • Automated CI/CD with Jenkins and SonarQube quality gates, reducing deployment time by 60%.
  • Led migration of a legacy C# service to Node.js, including bug triage and cutover planning for zero-downtime release.
Software Engineer — High-Throughput Systems
May 2021 – Aug 2022
RNF Technologies · Noida, India
  • Built a lead-generation platform on Elasticsearch with Lucene queries, improving search performance by 10x over the previous SQL implementation.
  • Implemented a batch-processing system in Node.js and MongoDB handling 1M+ records daily, using compound indexes and bulk-write strategies.
  • Built an automated email scheduler on AWS SQS and Lambda with connection pooling, reliably delivering 50K+ emails per day with retry and dead-letter handling.
  • Reduced critical database query response times from 2s to 200ms (10x) through targeted indexing and query restructuring.
Web Application Developer
Sep 2019 – May 2021
TERI — The Energy and Resources Institute · New Delhi, India
  • Led system design for 3+ enterprise applications serving 10K+ users on Angular, Laravel, Django, and Flask — improved system uptime to 99% and cut average page load time by 35%.
  • Designed normalised schemas with ORM-backed data access across 20+ entities, ensuring data integrity and stable performance on mixed read/write workloads.

Selected Work

Projects & Writing

Internal Platform

ENBD Code Quality Dashboard

Unified Checkmarx and SonarQube APIs into an engineering-manager dashboard with one-click auto-fix for common violations, giving leadership a live view of code health across squads.

Developer Tool

Git Release GUI

Desktop tool for managing and auditing code movement across production and non-production environments, adopted by the release team to standardise release tracking.

AI / Side Project

RAG Knowledge Assistant

Internal RAG-based assistant built with Node.js, LangChain, and a vector database over engineering documentation — exploring AI-assisted developer workflows.

Observability

OpenTelemetry Observability Template

Hands-on observability stack — OpenTelemetry-instrumented Node.js / TypeScript API with Prometheus and Grafana, provisioned dashboards, Docker Compose setup, and documented exercises on metric cardinality and push-vs-pull patterns.

View on GitHub →
Writing

“Let's Develop Better” Newsletter

Author of a newsletter on software engineering best practices, design patterns, and scalable system architecture — sharing what I learn building production systems.

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About

What I'm Focused On

⚙

Building

Backend services, internal tools, and APIs with a strong focus on reliability, maintainability, and real business impact.

⚡

Exploring

AI-driven systems, RAG workflows, solution architecture, and engineering tools that solve real-world problems.

🎯

Goal

Growing expertise in AI-driven systems and solution architecture while building high-impact fintech platforms.

Tech Stack

Tools I Work With

Node.js TypeScript NestJS Java Spring Boot Python Django Flask PHP / Laravel Apache Kafka AWS MySQL SQL Server MongoDB / DocumentDB Elasticsearch TrinoDB Docker gRPC Jenkins Harness SonarQube Playwright OpenTelemetry Prometheus Grafana RAG / LangChain Vector Databases

Education

Where I Studied

Master of Computer Applications (MCA)
Indira Gandhi National Open University, India
Jun 2018 – Jun 2020
Bachelor of Computer Applications (BCA)
Indira Gandhi National Open University, India
Jun 2015 – Jun 2019
Machine Learning for Engineering & Science Applications
IIT Madras
Jun 2019 – Jun 2020