Aditya Dhande

Software Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience
Highly Stable

Key Highlights

  • Designed OAuth2 framework for secure microservices.
  • Engineered high-scale systems with Kafka and DynamoDB.
  • Optimized SQL queries improving performance by 20%.
Stackforce AI infers this person is a Backend Engineer specializing in scalable systems and microservices in the AdTech industry.

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Skills

Core Skills

MicroservicesScalabilityCloud ComputingSecurityData ProcessingBackend DevelopmentWeb Development

Other Skills

API DevelopmentAWSAerospikeAgile DevelopmentAgile MethodologiesAlgorithmsAmazon DynamodbAmazon Web Services (AWS)AngularApache FlinkApache KafkaApplication DevelopmentAzureBack-End Web DevelopmentComputer Science

About

Experienced Backend Engineer specializing in microservices, scalable systems, and security. As a Senior Associate at Morgan Stanley, I designed an OAuth2 framework, implemented Redis-based rate limiting, and built secure Azure applications with Terraform. Skilled in Docker, CI/CD automation, Kafka, SQL optimization, and system monitoring with Prometheus and Grafana. Proficient in Java, Python, Spring Boot, and databases like Sybase, MongoDB, and Azure SQL, ensuring efficient and high-performance solutions.

Experience

4 yrs 10 mos
Total Experience
1 yr 5 mos
Average Tenure
1 yr 5 mos
Current Experience

Dream11

SDE-2

Jan 2025Present · 1 yr 5 mos

  • Designed and implemented Ads ecosystem components including Ad Server, SSP, DSP, and Frequency Capping, laying the foundation for a scalable, programmatic advertising platform.
  • Built a high-scale Ad Frequency Capping system to enforce campaign- and user-level impression caps:
  • Implemented two architectural approaches (Kafka + Flink + DynamoDB aggregation, and DynamoDB bucketing/sharding).
  • Designed atomic counters (DynamoDB composite keys, sharding, windowed aggregation) and added caching (Redis/in-memory) for fast campaign-level checks, reducing database read load.
  • Collaborated with analytics to provide campaign performance dashboards (CTR, conversions, impressions).
  • Engineered a custom transaction management system for Aerospike NoSQL database, implementing ACID properties that the database lacks natively; enabling reliable multi-record operations across distributed systems.
  • Led load testing efforts for IPL 2025, benchmarking system performance at 21M RPM. Identified and implemented optimizations that reduced infrastructure cost.
KafkaFlinkDynamoDBRedisAerospikeMicroservices+1

Morgan stanley

2 roles

Software Engineer 2

Jan 2024Jan 2025 · 1 yr

  • Implemented Redis-based rate limiter for microservices, optimizing system performance and ensuring secure management of user requests.
  • Resolved critical Azure Cloud application bug causing high-load request failures and unresponsiveness, resulting in cost savings
RedisAzureMicroservicesCloud Computing

Software Development Consultant

Aug 2021Jan 2024 · 2 yrs 5 mos

Accolite digital

3 roles

Senior Software Engineer

Promoted

Jul 2022Jan 2024 · 1 yr 6 mos

  • Client - Morgan Stanley
  • Implemented OAuth2 Client Credentials grant for machine-to-machine authentication in a Spring Boot
  • microservices architecture, enabling secure communication between services.
  • Containerized microservices with Docker for portability, enabling the same code to run on-premises and in the cloud. Automated builds, tests, and deployments using Jenkins CI/CD pipelines configured as
  • code via Jenkinsfile for reproducibility and reliability
  • Implemented automation of end-to-end testing using Spring Boot, resulting in a 50% reduction in testing time. Developed custom metrics to monitor test performance and identify areas for improvement.
OAuth2Spring BootDockerJenkinsMicroservicesSecurity

Software Engineer

Aug 2021Jul 2022 · 11 mos

  • Client - Morgan Stanley
  • Implemented a real-time data processing pipeline using Kafka, improving data processing speeds by 20%
  • Engineered a high-performance Spring Boot application that efficiently consumed real-time MQ
  • database changes and wrote to a high-volume MongoDB cache, enhancing data retrieval speeds by 40%
  • and supporting 1M+ queries per day
  • Engineered and optimized over 30 stored procedures and SQL queries, which improved system
  • performance and reliability by 20% for high-intensity business transactions, resulting in faster data
  • retrieval and enhanced user satisfaction
KafkaSpring BootMongoDBSQLData ProcessingBackend Development

Intern

Jun 2021Jul 2021 · 1 mo

  • Contributed to Spring Boot/Angular examination software for hiring, deployed on AWS (EC2, RDS)
  • with auto-scaling. Enabled efficient, scalable applicant evaluation
  • Developed an interactive dashboard for an exam app using Pandas and ngx-charts, reducing evaluation time by 25% and improving feedback accuracy
AWSSpring BootAngularWeb DevelopmentCloud Computing

Education

Veermata Jijabai Technological Institute (VJTI)

Bachelor's degree — Electrical and Electronics Engineering

Jan 2017Jan 2021

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