---
title: "Hemanth kumar N - Data Engineer in Bengaluru | Tal"
description: "Meet Hemanth kumar N, Data Engineer | Azure Databricks | PySpark | Building Scalable Data Pipelines | Ex-Microsoft Project (Infosys) based in Bengaluru. AI stack includes gemini, github copilot, and ollama."
image: "https://tal.club/meet/hemanth-kumar-n/share-image"
---

# Hemanth kumar N on Tal

## Headline

Data Engineer \| Azure Databricks \| PySpark \| Building Scalable Data Pipelines \| Ex\-Microsoft Project \(Infosys\)

## About

I’m a Data Engineer with 3 years of experience designing and building scalable data pipelines on Azure\. I specialize in Azure Data Factory, Databricks, and PySpark, working with large\-scale datasets \(50M\+ records\) to deliver reliable and optimized data solutions\. In my current role, I work on Microsoft client projects where I design ETL pipelines, optimize SQL queries, and improve data platform performance by up to 40%\. I’m passionate about solving data engineering challenges, improving pipeline efficiency, and building robust data systems\. Skills: Azure Data Factory \| Databricks \| PySpark \| SQL \| ADLS Gen2 \| Data Modeling

## Location

Bengaluru

## AI stack

gemini

github copilot

ollama

openai

## Work experience

Data Engineer at Infosys, Apr 2024 \- Present · 2 yrs 2 mos, Bengaluru, Building Azure\-native data platforms that power analytics for one of the world's largest tech companies\. ■ Engineered 10\+ ADF \+ Databricks ETL pipelines ingesting from 5\+ sources into ADLS Gen2 — reduced data latency to reporting layer by 35% ■ Built PySpark transformation modules processing 50M\+ records per run with zero SLA breaches over 12 months ■ Cut average query execution time by 40% through partition pruning and composite indexing on warehouse schemas ■ Reduced report generation from 8 min → under 2 min by rewriting 15\+ stored procedures and eliminating full table scans ■ Achieved <5\-min mean time to detect pipeline failures using structured Azure Monitor logging and alerting

Traniee Engineer at Pacecom Technologies Pvt Ltd, Feb 2023 \- Dec 2023 · 11 mos, Bengaluru, Built the AWS data infrastructure that centralized and automated ingestion for structured business datasets\. ■ Delivered 6 end\-to\-end AWS Glue ETL workflows, eliminating \~12 hours/week of manual analyst data prep ■ Standardized 8 disparate data sources into a unified schema using Python \+ SQL — cut ad\-hoc data requests by 60% ■ Implemented automated data quality checks \(nulls, schema validation, referential integrity\) catching 95%\+ of anomalies before reporting ■ Reduced nightly batch load times by 28% via Parquet formatting, snappy compression, and optimized Redshift COPY commands

Data Engineer at Pacecom Technologies Pvt Ltd, Feb 2023 \- Dec 2023 · 11 mos, Built 6 end\-to\-end ADF\-based ETL pipelines automating ingestion of structured datasets into ADLS Gen2\-backed centralised repositories, replacing manual uploads and saving \~12 hours/week of analyst effort\. Developed Python \+ SQL data processing jobs that standardised 8 disparate data sources into a unified schema, reducing ad\-hoc data\-prep requests to the engineering team by \~60%\. Implemented automated data quality checks \(null checks, referential integrity, schema validation\) across ingestion pipelines, catching 95%\+ of data anomalies before they reached reporting layers\. Optimised ADF copy activities and ADLS Gen2 data layouts \(columnar Parquet \+ partitioning\), reducing average load times by 28% for daily batch jobs\.

## Education

Bachelor of Engineering, Civil Engineering, PES college of Engineering, Mandya

[View the original profile](https://tal.club/meet/hemanth-kumar-n)

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