---
title: "Kunal Sharma - Associate Data Engineer in Delhi | Tal"
description: "Meet Kunal Sharma, Data Engineer | Python · SQL · Snowflake · AWS · ETL/ELT · Data Quality | Ex-Innovaccer | Immediate Joiner based in Delhi."
image: "https://tal.club/meet/kunal-28/share-image"
---

# Kunal Sharma on Tal

## Headline

Data Engineer \| Python · SQL · Snowflake · AWS · ETL/ELT · Data Quality \| Ex\-Innovaccer \| Immediate Joiner

## About

I build production data pipelines that don’t break at 2 a\.m\. Around 1\.5 years at Innovaccer, I’ve shipped and maintained 25\+ ETL/ELT pipelines in Python and Snowflake, moving 50M\+ records weekly across 40\+ partner organizations on an enterprise healthcare data platform\. My work is the unglamorous, high\-stakes stuff data teams actually depend on: schema design, data quality frameworks, and cross\-system validation that keeps reporting trustworthy\. A few things I’m proud of: • Shipped a new client’s ingestion pipeline to production in one week, under SLA • Designed a Python \+ SQL reconciliation framework that hit \~95% match rate across 6 measurement categories • Built a data quality framework adopted across 6\+ source systems, replacing manual QA cycles • Resolved 200\+ data quality issues across 25\+ production pipelines Beyond the code, I care about business impact — why a number is wrong, who it affects downstream, and how to stop it recurring\. Outside work I’m deep into financial markets, value investing, and quantitative analysis: time\-series forecasting on NSE equities \(ARIMA/LSTM/XGBoost\) and a credit\-risk classifier \(\~79% accuracy\)\. I’m especially drawn to roles where data engineering meets finance\. Open to data engineering, analytics engineering, and fintech/quant data roles — NCR\-based or remote, available immediately\. Building a team that values someone who ships reliably and debugs deeply? Let’s talk → kunals7898@gmail\.com

## Location

Delhi

## Work experience

Associate Data Engineer at Innovaccer, Jul 2025 \- May 2026 · 11 mos, •Designed and developed scalable ETL pipelines ingesting nested JSON data from Amazon S3 into Snowflake across 8 entities; optimized data transformation workflows and resolved schema, normalization, and null\-key issues in production environments •Built Python \+ SQL reconciliation framework for 40\+ partner organizations; presented validation findings and match\-rate trends to stakeholders, reducing escalations and enabling faster issue resolution •Built and scheduled automated data cleansing pipelines for L2 production tables, processing 5M\+ records and improving downstream analytical data quality\. •Built reusable data quality and validation frameworks with automated checks and HTML reporting, scaling across 6\+ sites and reducing manual QA effort by \~80–90% •Monitored and maintained 25\+ production data pipelines with 95%\+ validation accuracy; troubleshot and resolved 200\+ production and data quality issues to ensure data integrity and pipeline performance •Evaluated XML ingestion strategies; recommended Python \(lxml/XPath\) → CSV → Snowflake COPY INTO, improving performance and maintainability

Data Engineering Intern at Innovaccer, Jan 2025 \- Jul 2025 · 7 mos, •Worked on production\-grade Snowflake pipelines for 10\+ healthcare source practices, ensuring reliable ingestion and transformation workflows •Built and integrated 5\+ end\-to\-end data ingestion pipelines within medallion architecture \(L0–L2\), supporting scalable analytics and reporting use cases •Developed Accounts Receivable Basis \(ARB\) reports for Concerto client — synthesized cost and risk metrics into structured findings; output used by client managers for financial decision\-making •Awarded Spot Award for consistently delivering high\-quality solutions under tight deadlines

Summer Intern, Data Science at Celebal Technologies, May 2024 \- Jul 2024 · 3 mos, Jaipur, Rajasthan, India, \- Gained practical experience in data science by working on various mini\-projects and assignments\. \- Developed strong skills in Python programming and successfully applied machine learning algorithms to real\-world problems\.

## Education

Bachelor of Technology \- BTech, Communication and Computer Engineering, The LNM Institute of Information Technology

Class XII, Science \(PCM\), Puna International School, Ahmedabad

[View the original profile](https://tal.club/meet/kunal-28)

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