---
title: "Abhishek M - Data Engineer in Karnataka | Tal"
description: "Meet Abhishek M, Data Engineer | Azure · Databricks · PySpark · AI agents | Building pipelines that cut processing time, not corners based in Karnataka. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/abhishek-m-1/share-image"
---

# Abhishek M on Tal

## Headline

Data Engineer \| Azure · Databricks · PySpark · AI agents \| Building pipelines that cut processing time, not corners

## About

As a Data Engineer at Komax, I design and maintain scalable data pipelines on Azure\. Previously at Wipro and Sigmoid, I've built ETL systems that handle millions of records, reduced processing time by 35%, and cut manual intervention by 75% through workflow parameterization\. I work across Azure Data Factory, Databricks, PySpark, Airflow, and SQL with hands\-on experience in both batch and streaming scenarios\. Microsoft Certified \(DP\-203\)\. I also write about data engineering on Medium to break down concepts I wish someone had explained to me earlier\.

## Location

Karnataka

## AI stack

antigravity

codex

cursor

## Work experience

Data Engineer at Komax CoDE India, Aug 2025 \- Present · 1 yr 1 mo, On\-site, • Architected and deployed 11\+ production AI document intelligence agents on Databricks Model Serving, reducing manual review effort by 70%\. • Designed enterprise\-scale Bronze\-Silver\-Gold lakehouse platform supporting 50\+ mortgage attributes with lineage and governance controls\. • Implemented SCD Type 1 & 2 strategies enabling audit\-ready reporting and downstream analytical consumption\. • Designed Photon\-enabled serverless Spark architecture achieving 40% faster execution\. • Established automated data quality framework across 30\+ tables with schema monitoring and alerting\.

SDE \(Data Engineer : Project\-Based role \- 8 months\) at Sigmoid, Jan 2025 \- Aug 2025 · 8 mos, Bengaluru, ◦ ETL Pipelines: Developed and maintained scalable ETL workflows using Python, PySpark, Apache Airflow, and Pandas to process large\-scale enterprise data\. ◦ Cloud Platforms: Implemented data ingestion and transformation pipelines on Azure and AWS cloud environments leveraging services like Azure Data Factory, Databricks, and AWS S3\. ◦ Performance Optimization: Enhanced ETL pipeline efficiency, reducing data processing time by 35% via code optimization and distributed processing\. ◦ Data Integration: Ingested and transformed data from diverse sources including REST APIs and cloud storage; ensured data reliability and integrity\. ◦ Version Control & DevOps: Utilized Azure DevOps and GitHub for source control, continuous integration, and deployment automation\. ◦ Big Data Technologies: Worked with Apache Spark and Kafka for streaming and batch data processing scenarios\. ◦ Tech Stack: Python, PySpark, Apache Airflow, Azure Data Factory, Azure Databricks, AWS S3, Kafka, SQL,Azure DevOps, GitHub

Data Engineer at Wipro, May 2022 \- Jan 2025 · 2 yrs 9 mos, Pune, Maharashtra, India, ◦ ETL Development: Built and optimized ETL pipelines using Azure Data Factory, PySpark, and SQL for data processing and analytics\. ◦ Legacy Migration: Migrated SAS workflows to PySpark, significantly improving pipeline scalability and reducing operational costs\. ◦ SQL: Developed complex SQL queries and optimized ETL datasets for reporting and analytics\. ◦ Collaboration & Agile: Worked closely with cross\-functional teams in Agile environments, managing code in Bitbucket and supporting CI/CD pipelines\. ◦ Tech Stack: Azure Data Factory, PySpark, SQL Server, SAS, Python, GitHub, Azure DevOps

Software Programmer at VST Infotech, Dec 2021 \- May 2022 · 6 mos, Remote

## Education

Bachelor of Engineering \- BE, Computer Science, Smt\.Kashibai Navale college of Engineering

[View the original profile](https://tal.club/meet/abhishek-m-1)

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