---
title: "Dhruv Sharma - Team Lead in Gurugram | Tal"
description: "Meet Dhruv Sharma, Team Lead @ Gobblecube.ai | Backend & Data Platform | Java & Python | Spring Boot, Distributed Systems, Temporal, Snowflake | Ex-CommerceIQ | Immediately Available based in Gurugram. AI stack includes claude code, cursor, and mcp."
image: "https://tal.club/meet/dhruv-sharma-10/share-image"
---

# Dhruv Sharma on Tal

## Headline

Team Lead @ Gobblecube\.ai \| Backend &amp; Data Platform \| Java &amp; Python \| Spring Boot, Distributed Systems, Temporal, Snowflake \| Ex\-CommerceIQ \| Immediately Available

## About

Backend and data\-platform engineer with 5\+ years building high\-throughput distributed systems in Java and Python\. Immediately available to join\. I joined Gobblecube as its first backend lead when the company was 12 people\. Today I lead the team that owns our data acquisition platform \- \~30,000 SKUs crawled daily across five quick\-commerce and e\-commerce platforms for 350\+ active clients \- with the company now at \~140\. JAVA 3\.5 years at CommerceIQ building Spring Boot microservices and distributed job\-execution platforms\. Took a graph\-based workflow engine from 3\.5K to 36K workflows/day \- a 10x throughput increase that won the company's High Impact Award within 6 months of joining \- and scaled crawling microservices to 20M\+ requests/day\. Diagnosed and fixed race conditions in a multi\-threaded scheduler that were corrupting pipeline output\. PYTHON The backend and orchestration stack at Gobblecube: FastAPI services, Temporal and Dagster pipelines, and an LLM\-driven product curation pipeline running in production\. PLATFORM &amp; LEADERSHIP \- Raised crawl success rate to 99% and brought end\-to\-end data freshness under 3 hours, establishing both as the platform's north\-star metrics\. \- Designed a self\-serve onboarding product that cut client onboarding from 2\-3 days to 2 hours; 1,000\+ clients have since onboarded through it\. \- Ran a full Amazon Redshift to Snowflake migration \(\~2 TB, zero downtime\) as primary DBA, and cut dashboard p95 latency from 40s to under 10s\. \- Hire, onboard, and run performance for a team of 5 \(3 engineers, 2 ops\)\. Tech: Java, Python, Spring Boot, FastAPI, Temporal, Dagster, AWS Step Functions, Snowflake, PostgreSQL, DBT, Kubernetes, Docker, AWS\. Open to Backend, Platform and Engineering Lead roles \- immediately available\.

## Location

Gurugram

## AI stack

claude code

cursor

mcp

Granola

Retool AI

Wispr Flow

## Work experience

Team Lead at GobbleCube, Jun 2025 \- Sep 2026 · 1 yr 4 mos, Lead a team of 5 \(3 engineers, 2 ops\) owning the data acquisition platform \- \~30,000 SKUs crawled daily across 5 quick\-commerce and e\-commerce platforms \(Blinkit, Swiggy Instamart, Zepto, BigBasket Now, Flipkart\) for 350\+ active clients across enterprise and D2C segments\. \- Raised crawl success rate to 99% and brought end\-to\-end data freshness to under 3 hours, establishing both as the platform's north\-star metrics\. \- Own hiring and people management for the team: conducted 10\+ interviews and hired 2 engineers, and run onboarding, 1:1s, and performance for all 5 members\. \- Replaced a manual crawl\-ops workflow with automated Temporal\-based orchestration, harmonizing the manual and automated paths into a single pipeline and cutting recurring ops toil\. \- Set the platform roadmap with Product and Client Success, prioritizing engineering work against measurable data\-quality outcomes rather than feature count\. Tech: Python, FastAPI, Temporal, Snowflake, PostgreSQL, DBT, Kubernetes, Docker

Backend Lead at GobbleCube, Oct 2024 \- Jun 2025 · 9 mos, Hired as Gobblecube's first backend lead when the company was \~12 people \(3\-4 of them interns\); the company has since grown to \~140\. \- Designed and led delivery of a self\-serve onboarding product that cut client onboarding from 2\-3 days to 2 hours; now the default path for every client, with 1,000\+ clients onboarded through it\. \- Owned and executed a full data warehouse migration from Amazon Redshift to Snowflake \(\~2 TB\) with zero downtime, serving as primary DBA \- undertaken to unlock Snowflake\-native capabilities and long\-term platform stability rather than short\-term cost savings\. \- Cut dashboard p95 latency from 40s to under 10s through Snowflake clustering\-key design and index/query optimization\. \- Built an LLM\-driven pipeline to curate brand\-specific product assortments powering the client dashboard, replacing manual curation\. \- Migrated client assortment data from Google Sheets into the onboarding system, eliminating a manual and error\-prone ops step\. Tech: Python, FastAPI, Dagster, Snowflake, PostgreSQL, DBT, Kubernetes, Docker

Software Developer 2 at CommerceIQ, Oct 2022 \- Sep 2024 · 2 yrs, Market Intelligence: It's a core platform which scrapes different e\-commerce websites to get the data of SKUs and search terms as well as categories which will be used as base data to get meaningful information and to support client growth and decision\-making in the e\-commerce industry\. ● Designed microservices architecture\. ● Scaled the system to be able to crawl 20 million requests per day\. ● Played a key role in guiding peers' design decisions, fostering collaboration, and ensuring architectural excellence\. ● Significantly reduced PDs \(Production Defects\) by implementing robust quality control measures\. ● Established documentation practices and led Root Cause Analysis \(RCA\) processes to enhance team knowledge sharing and incident resolution\. Tech Stack: Java, Pipelines, Docker ,Pipelines, Caching, S3, SQS, Postgres\. REM CC: A dashboard that shows the clients an overall view of their business\. Shows different metrics and actionable items based on these metrics the client can take steps to overall improve the e\-commerce business\. ● Wrote transformations in Snowpark Java that runs every week to get the metrics\. ● Wrote unit test cases for Dataframe functions\. ● Created metrics dashboard in New Relic detailing time taken, PDs, and associated costs\. ● Mentored juniors\. Tech Stack: Java, Snowpark, AWS Step\-Functions, Snowflake\. Market Share: A product that will find the competitor products and use that to find the market\-share of the client\. ● Generated 1 Million Dollars as Revenue in the first 6 months\. ● Explored AWS step functions to create orderly execution of different processes in the pipeline ● Used AWS sage\-maker to use as a compute layer because of its performance benefits while dealing with large data\-sets\. ● Automated the scheduled execution of these pipelines by using AWS event\-bridge and AWS lambda\. Tech Stack: Python, Java, Step\-functions, Lambda, Sage\-Maker, Event bridge, boto3, Snowflake

Software Developer at CommerceIQ, Apr 2021 \- Oct 2022 · 1 yr 7 mos, CCP: Graph\-Based Job Execution platform where users can develop and execute their Spark, Java, Snowpark, and Python jobs at scale\. ● Runs around 15k Workflows every day\. ● Designed a microservice\-based architecture that can scale itself\. ● Created asynchronous APIs\. ● Explored AWS batch to be the compute layer of the platform\. ● Implemented and tested the validation and execute micro\-service\. Tech Stack: Spring Boot, Java, neo4j , AWS Batch, SQS, Postgres\. Modulus: A monolithic platform where users can develop and execute their SQL and Python code over data in a graphical manner\. ● Reduced the end to end run time for daily pipeline from 8\.5 hrs to 2\.5 hrs by optimizing the code\. ● Number of running workflows increased from 3\.5K to 36K\. ● Found and resolved racing condition issues because of multi\-threaded application\. ● Added new functionalities as asked by the users\. ● Managed the monolithic application Tech Stack: Spring Boot, Java, SQS, Auto Scaling Groups\.

Software Engineer Intern at Crio\.Do, Apr 2020 \- Jul 2020 · 4 mos, Created and Tested DataStructure and Algorithm based problems for PS DS micro\-experience of Crio\.do\. Technology Stack: C\+\+, Java

Web Development Intern at EntHire, Dec 2019 \- Jan 2020 · 2 mos, Remot, Added the functionality of Realtime Collaborative Code Editor and Group Video Chat to the EntHire website\. Technology Stack: Vue\.js, Javascript

## Education

Bachelor's degree, Computer Science, Birla Institute of Technology, Mesra

[View the original profile](https://tal.club/meet/dhruv-sharma-10)

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