---
title: "Keshav K. - Data Engineer in Greater Delhi Area | Tal"
description: "Meet Keshav K., Data Engineer @ Incedo | Snowflake, dbt, Airflow, AWS | 140+ tables modeled, 300GB+/day in production based in Greater Delhi Area. AI stack includes cursor."
image: "https://tal.club/meet/keshav-kokande/share-image"
---

# Keshav K\. on Tal

## Headline

Data Engineer @ Incedo \| Snowflake, dbt, Airflow, AWS \| 140\+ tables modeled, 300GB\+/day in production

## About

I turn messy, high\-volume data into pipelines people can actually trust\. Right now, that means owning end\-to\-end data engineering at Incedo \- moving 300GB\+ of financial data daily from AWS S3 and Fivetran into Snowflake, and making sure it lands clean, on time, and audit\-ready for 5\+ downstream analytics teams\. A few numbers that tell the story better than a job title can: → Built a config\-driven validation framework \(Python \+ YAML\) that auto\-generates 2,100\+ SQL test cases \- cutting manual QA effort by 90% and giving the team its time back for actual pipeline work\. → Designed dimensional models across 140\+ Snowflake tables, trimming pipeline latency by 15%\. → Run 10\+ production Airflow DAGs on GitHub Actions CI/CD \- no more manual deployments\. → Tuned Snowflake clustering/partitioning for a 20% query performance gain and lower compute spend\. I got here by being the person who'd rather fix the root cause than patch the symptom\. Before Incedo, I cut my teeth on full\-stack builds \(React, Node, \.NET\) at Nagarro and Podtech \- which is honestly why I obsess over pipeline reliability now\. I've seen what breaks when data quality is an afterthought\. Certified: AWS Cloud Practitioner, Snowflake SnowPro Core\. Stack: Python, SQL, PySpark, dbt, Airflow, Kafka, Snowflake, AWS \(S3, Glue, IAM, KMS\)\. Outside of pipelines, I've solved 400\+ problems across LeetCode/GFG/HackerRank — turns out the same instinct that debugs a DAG also enjoys a good algorithm at 11pm\. Open to Data Engineer / Analytics Engineer roles where "300GB/day" and "90% less manual QA" sound like your kind of problem\. DM me \- always happy to talk data\.

## Location

Greater Delhi Area

## AI stack

cursor

## Work experience

Data Engineer at Incedo Inc\., Jan 2024 \- Present · 2 yrs 9 mos, Gurugram, Haryana, India, Own end\-to\-end data pipelines processing 300GB\+ of financial data daily, delivering SLA\-compliant service to 5\+ downstream analytics teams \- plus a config\-driven QA framework that gave the team 90% of its manual testing time back\. \- Own end\-to\-end data pipelines moving 300GB\+ of financial data daily from AWS S3 and Fivetran into Snowflake, delivering SLA\-compliant service to 5\+ downstream analytics teams\. \- Architected a config\-driven validation framework \(Python \+ YAML\) that auto\-generates 2,100\+ SQL test cases, cutting manual regression testing effort by 90%\. \- Designed dimensional models \(Snowflake Schema\) across 140\+ tables, trimming pipeline latency by 15%\. \- Built and maintained 10\+ production Airflow DAGs with GitHub Actions CI/CD, replacing manual deployments with automated, version\-controlled releases\. \- Tuned Snowflake clustering/partitioning strategies, improving query performance 20% and lowering BI compute costs\.

Full Stack Developer at PODTECH, Oct 2023 \- Dec 2023 · 3 mos, Gurugram, Haryana, India, This role allowed me to gain hands\-on experience in the end\-to\-end software development lifecycle while strengthening my expertise in backend and frontend development\. \- Built and modified 10\+ APIs and UI components for a production \.NET web application, working directly in an Agile team\. \- Validated releases with JUnit\. \- Automated builds/deployments with Maven, cutting manual release steps out of the workflow\. \- Contributed to the development and modification of complex APIs and UI components for a \.NET web application\.

Associate Engineer Trainee at Nagarro, Jun 2022 \- Sep 2022 · 4 mos, Gurugram, Haryana, India, This project strengthened my expertise in full\-stack development and real\-time systems, and it was an excellent opportunity to apply modern web technologies to solve complex challenges in a collaborative environment\. \- Built a responsive React frontend with real\-time chat/notification features, backed by a Node\.js REST API\. \- Designed the MongoDB schema for user\-generated content, optimizing for query performance at scale\. \- Shipped via Git\-based CI/CD, contributing to full cloud deployment and uptime\.

## Education

Master of Computer Applications \- MCA, Computer Science, Bharati Vidyapeeth Institute of Computer Applications & Management

B\.Sc Computer Science, Dyal Singh College

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

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