Aditya Bhandari

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

Key Highlights

  • Revamped monolithic systems into efficient microservices.
  • Led successful migration of Aerospike clusters with zero downtime.
  • Developed impactful dashboards for user engagement.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in E-commerce and Fintech.

Contact

Skills

Core Skills

AlgorithmsJavaSolrApplication DevelopmentSpring Framework

Other Skills

ProgrammingSoftware DevelopmentComputer ScienceProblem SolvingBack-End Web DevelopmentAerospikeDropwizardSystem designElasticsearchApache KafkaHBaseKubernetesOpen APIREST APIsSpring Boot

About

Currently working as a Software Developer at Databricks. Passionate about distributed systems, databases and all things tech.

Experience

3 yrs 10 mos
Total Experience
1 yr 6 mos
Average Tenure
9 mos
Current Experience

Databricks

Software Engineer

Sep 2025Present · 9 mos · Bengaluru, Karnataka, India

Amazon

SDE-2

Jun 2025Sep 2025 · 3 mos · Bengaluru, Karnataka, India

Flipkart

3 roles

SDE-2

Promoted

Aug 2024May 2025 · 9 mos · Bengaluru, Karnataka, India

  • Worked on revamping the existing Monolithic designs of Recommendations and Merchandising stacks into
  • user-focused microservices like Bestseller and Quality. Designed an extensible, generic framework enabling
  • teams to onboard new content providers faster and seamlessly, reducing development time by more than 80%.
  • Targeting the user with more specific user propositions led to a 9% improvement in customer conversion.
  • Participated in improving system observability, increasing test coverage and mentoring new team members.
AlgorithmsJava

SDE-1

Jul 2022Aug 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India

  • Worked in the Flipkart Merch team to enhance the existing content serving system by adding new features to the ML models and designing improved user experiences.
  • Led migration of Aerospike clusters from Community version to Flipkart’s centrally managed platform, while ensuring zero-downtime and a 20% increase in the QPS supported and a 10% reduction in the hardware used.
  • Conducted performance benchmarks using NFRs to identify system bottlenecks and determine maximum QPS for the service. Optimized and scaled the system to handle peak loads of 60K QPS, ensuring a p99 latency of under 400ms even during high-traffic sale events.
AlgorithmsSolr

Winter Intern

Jan 2022Jun 2022 · 5 mos · Bengaluru, Karnataka, India

  • As a part of the User Acquisition and Retention Team at Flipkart, I worked on new features for Flipkart's latest venture - Shopsy. Created a React Dashboard for the operations team to view and take action on applications to the Influencer Program.
AlgorithmsApplication Development

Goldman sachs

Summer Analyst

Jun 2021Jul 2021 · 1 mo · India

  • As an intern, I worked in the Consumer Wealth Management Divison and worked for the new Credit Card business of Goldman Sachs in partnership with Apple. As an intern, I smoothly onboarded to the system, migrated existing APIs to OpenApi 3.0 and created new flows for third party vendors.
Spring FrameworkAlgorithms

Education

Maulana Azad National Institute of Technology

Bachelor of Technology - BTech — Computer Science

Jan 2018Jan 2022

Chettinad Vidyashram

High School Diploma — Mathematics and Computer Science

Jan 2016Jan 2018

Lilavatibai Podar Sr Secondary School

Jan 2008Jan 2016

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