---
title: "Amith K - Data Engineer in Bengaluru | Tal"
description: "Meet Amith K, Data Engineer | Azure Data Factory | Databricks | PySpark | Spark SQL | Delta Lake | Batch Data Pipelines | OTT Streaming Analytics based in Bengaluru. AI stack includes gemini, hugging face, and langchain."
image: "https://tal.club/meet/amith-k/share-image"
---

# Amith K on Tal

## Headline

Data Engineer \| Azure Data Factory \| Databricks \| PySpark \| Spark SQL \| Delta Lake \| Batch Data Pipelines \| OTT Streaming Analytics

## About

Data Engineer with experience building and maintaining scalable batch data pipelines on Azure for large\-scale OTT streaming platforms\. Currently working at GlobalLogic, where I design and maintain data pipelines using Azure Data Factory, Azure Databricks, PySpark, and Spark SQL to process millions of user interaction and playback events\. My work focuses on transforming high\-volume event data into reliable, analytics\-ready datasets using Bronze–Silver–Gold Delta Lake architecture\. I have hands\-on experience in building incremental data pipelines, implementing data quality checks, and optimizing Spark jobs for performance and scalability\. Key skills include: • Azure Data Factory \(ADF\) • Azure Databricks • PySpark & Spark SQL • Delta Lake • Batch Data Pipelines • Data Quality & Validation • OTT Event Data Processing I enjoy solving complex data engineering problems and building reliable data platforms that enable analytics and data\-driven decision making\.

## Location

Bengaluru

## AI stack

gemini

hugging face

langchain

openai

## Work experience

Data Engineer at GlobalLogic, Jun 2022 \- Present · 4 yrs, Bengaluru, Karnataka, India, Working on data engineering solutions for OTT platforms\. • Designed and maintained scalable batch data pipelines using Azure Data Factory and Databricks to process millions of OTT event records daily\. • Developed PySpark and Spark SQL transformations to clean, standardize, enrich, and aggregate datasets including player events, app actions, account data, and recommendation rails\. • Implemented Bronze–Silver–Gold Delta Lake architecture for raw ingestion, transformation, and analytics\-ready datasets\. • Built incremental data processing pipelines using partitioning, deduplication, and Delta MERGE strategies\. • Implemented data quality checks including schema validation, null checks, range validation, and record reconciliation\. • Optimized Spark jobs by tuning joins, partitions, and file sizes to improve pipeline performance and scalability\. • Supported production pipelines by monitoring batch jobs, troubleshooting failures, and implementing safe rerun strategies\. • Delivered Gold\-layer datasets supporting reporting, engagement analysis, and recommendation performance tracking\.

## Education

Bachelor of Technology \- BTech, Computer Science, REVA UNIVERSITY, BANGALORE

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

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