Aman Joshi

Senior Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Key Highlights

  • Led migration of 1.8B MongoDB records with zero downtime.
  • Achieved $7K/month savings by optimizing MongoDB costs.
  • Designed innovative captain suspension workflow improving compliance.
Stackforce AI infers this person is a SaaS Backend Engineer with expertise in database migration and API development.

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Skills

Core Skills

MongodbSnowflakeSqlGoogle LookerReactNode.js

Other Skills

Amazon S3Distributed SystemsGrafanaJavaKafkaKubernetesLookMLNoSQLPrometheusSoftware DevelopmentSpring Boot

Experience

Sprinklr

Senior Software Engineer

Nov 2025Present · 4 mos · Gurugram, Haryana, India

Observe.ai

Software Engineer

Dec 2023Oct 2025 · 1 yr 10 mos · Bangalore Urban, Karnataka, India · Hybrid

  • Led the milestone-driven migration of 1.8B+ MongoDB records (˜10 TB) to a
  • modern MongoDB v1 + Amazon S3 + Snowflake stack, implementing daywise partitioning, multithreaded Kubernetes jobs, async S3/Kafka streaming,
  • and automated validation — sustaining 6K records/sec with zero downtime
  • and full data consistency.
  • Reduced MongoDB standalone cost to 1/4th — from $15/hour to $3.80/hour
  • by archiving large JSON fields from a 7.4TB cluster to Amazon S3 and tierdown scaling storage, achieving $7K/month savings with additional
  • reductions anticipated in network, backup, and other cluster expenses.
  • Built and optimized a suite of interactive dashboards in Google Looker,
  • utilizing LookML and advanced SQL to create complex visualizations,
  • automate reporting, and provide actionable insights for business
  • stakeholders.
  • Ideated and implemented a platform-level CRUD API framework using
  • generic filter Dtos to handle dynamic query parameters, enabling frontend–
  • backend decoupling and eliminating redundant API endpoints.
  • Conducted regular code reviews, mentored and onboarded freshers, ensuring
  • adherence to best practices, coding standards, and system design guidelines.
MongoDBAmazon S3SnowflakeSQLKubernetesKafka+2

Rapido

Software Engineer

Jul 2022Dec 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • Designed and implemented a full captain suspension workflow, including a
  • React Refine dashboard and Node.js backend, enabling captains to upload
  • proof (e.g., helmet compliance, vehicle verification) in response to repeated
  • violations such as safety gear non-usage or vehicle mismatch.
  • Led several Captain Loyalty features, automating suspension workflows for
  • policy enforcement.
  • Eliminated false API fail alerts (0% Slack noise) via Alert Manager.
  • Implemented Feedback Model using ARM, reducing ride cancellations by
  • 25% and boosting driver quality scores by 10%.
  • Enhanced ARM to include micro feedback, increasing driver ratings by 20%
  • and decreasing complaints by 15%.
  • Improved service observability via Prometheus metrics and Grafana
  • dashboards.
  • Built end-to-end Captain Photo Verification system, improving compliance
  • by 30% across multiple cities.
ReactNode.jsPrometheusGrafana

Bizongo

Software Engineering Internship

Dec 2021Mar 2022 · 3 mos

Education

University School of Information, Communication & Technology (USICT)

Bachelor of Technology - BTech — Electronics and Communications Engineering

Jan 2018Jul 2022

Earthinators Climate School

Class 12 — PCM

Jan 2017Jan 2018

Stackforce found 100+ more professionals with Mongodb & Snowflake

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