Bhargav Tenali

Software Engineer

Hyderabad, Telangana, India8 yrs 3 mos experience

Key Highlights

Reduced query latency by 90% in distributed search service.
Automated ETL pipeline, cutting manual effort by 90%.
Led successful migration of JavaScript frontend with performance improvements.

Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS and Fintech solutions.

Contact

bhargavtenali@gmail.com LinkedIn

Skills

Core Skills

Node.jsElasticsearchRedisKafkaJavascriptReactJavaPython

Other Skills

Problem SolvingCeleryAPIsReduxReact.jsPostgreSQLsystem designSpring BootHigh-Level DesignLow-Level DesignHelm ChartsKubernetesElastic Stack (ELK)Google Cloud Platform (GCP)Google Kubernetes Engine (GKE)

About

- I am a dedicated Full Stack Web Developer with a strong background in Node JS, Java, React, NoSQL and SQL databases. - An IIT graduate, I bring a blend of technical expertise and problem-solving skills to every project. With a passion for continuous learning and a commitment to delivering high-quality solutions, I am excited to contribute to innovative software development projects. - I have also actively contributed to the open-source community, with successful pull requests merged in the cal.com repository

Experience

8 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 6 mos

Current Experience

Broadcom

Software Engineer - Backend & Distributed Systems

Nov 2024 – Present · 1 yr 6 mos · Hyderabad, Telangana, India · Hybrid

Developed distributed Search Service for IPCE reducing query latency from 500ms to under 50ms (90% faster) on 50M documents using in-memory Trie data structure and Elasticsearch, handling 10M requests/minute.
Re-architected async job processing pipeline using Celery and Redis, reducing queued messages from 26M to 3.9M (85% reduction) and cutting CPU load from 94% to 8.5%, saving infrastructure costs by $300/month.
Developed configuration management service with Kafka-based event streaming and admin APIs, managing 50K+ configurations across multiple environments for 50K+ daily active users.
Optimized Redis memory footprint from 100GB to 30GB (70% reduction) via aggressive compression and stale key cleanup, reducing infrastructure costs by $400/month.
Implemented Disaster Recovery setup with master-slave database replication and parallel deployments across 2 GCP regions, reducing downtime from 2 hours to 15 minutes (87% improvement) during incidents.

Node.jsProblem SolvingElasticsearch

Liquiditybook, a factset company

Software Engineer

May 2024 – Sep 2024 · 4 mos · Bengaluru, Karnataka, India · Hybrid

Led migration of JavaScript frontend from Messer to LiquidityBook, integrating 15+ React components with backend APIs and implementing Redux state management for seamless data flow.
Optimized React application load time from 5.2s to 2.1s (60% reduction) by implementing lazy loading, code splitting, and memoization techniques, reducing bundle size by 40%.
Refactored API layer to call Messer services directly, reducing average API response time from 300ms to 120ms (60% faster) and eliminating 3 unnecessary network hops.

JavaJavaScriptReact

Kayrros

Software Engineer

Aug 2022 – Feb 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

Automated ETL pipeline to migrate 5M records from Excel/CSV/Elasticsearch to PostgreSQL using Python, reducing ops team manual effort from 40 hours/week to 4 hours/week (90% reduction).
Optimized PostgreSQL queries and indexes for analytics dashboard, reducing API latency from 260ms to 60ms (77% improvement) and cutting database memory usage by 400GB through query restructuring and partitioning.
Implemented native segment evaluation in Campaign Service using Node.js, eliminating 500K+ daily remote API calls and reducing average response time from 180ms to 45ms (75% faster).
Built micro-frontend architecture using single-spa framework, enabling independent deployment of 4 modules and reducing build time from 12 min to 3 min per module (75% improvement).

JavaReact.jsReact