---
title: "KARTHIKEYA THANNIRU - Data Engineer in Hyderabad | Tal"
description: "Meet KARTHIKEYA THANNIRU, Data Engineer | Azure | Google Cloud (GCP) | Databricks | PySpark | Spark | Data Lakehouse | AI Data Engineering | DP-203 | Databricks Certified based in Hyderabad. AI stack includes antigravity and cursor. Explore public work links including github."
image: "https://tal.club/meet/karthikeya-thanniru/share-image"
---

# KARTHIKEYA THANNIRU on Tal

## Headline

Data Engineer \| Azure \| Google Cloud \(GCP\) \| Databricks \| PySpark \| Spark \| Data Lakehouse \| AI Data Engineering \| DP\-203 \| Databricks Certified

## About

Hi, I'm Karthikeya 👋 I'm a Data Engineer with 3\.5\+ years of experience designing scalable cloud data platforms and building enterprise\-grade ETL pipelines\. I specialize in Microsoft Azure and Databricks while actively expanding my expertise in Google Cloud Platform \(GCP\) and Agentic AI to build next\-generation intelligent data solutions\. 🚀 What I do: • Design scalable ETL/ELT pipelines • Build Data Lakehouse architectures • Develop PySpark applications on Databricks • Optimize enterprise data platforms • Automate cloud data workflows 💡 Technologies: ☁️ Azure Data Factory ☁️ Azure Databricks ☁️ Azure Synapse Analytics ☁️ Azure Data Lake Storage Gen2 ☁️ Google Cloud Platform \(BigQuery, Cloud Storage, Dataproc, Dataflow, Cloud Composer\) ⚡ PySpark ⚡ Apache Spark ⚡ SQL ⚡ Python ⚡ Delta Lake ⚡ Data Lakehouse 🤖 Currently Learning: • Google Cloud Data Engineering • Agentic AI • LangChain • Retrieval\-Augmented Generation \(RAG\) • Large Language Models \(LLMs\) • AI Agents for Data Engineering 📈 Career Highlights: ✅ 70\+ production ETL pipelines ✅ 45% improvement in processing performance ✅ 30% reduction in execution time ✅ 25% increase in operational efficiency On LinkedIn, I share: 📌 Azure Data Engineering 📌 Google Cloud \(GCP\) 📌 Databricks 📌 SQL & PySpark tips 📌 Data Engineering interview preparation 📌 AI & Agentic AI learning 📌 Real\-world project architectures Let's connect and grow together\!

## Location

Hyderabad

## AI stack

antigravity

cursor

## Work experience

Data Engineer at Lloyds Technology Centre India, Jul 2026 \- Present · 2 mos, Hyderabad, Telangana, India, • Working as a Data Engineer at Lloyds Technology Centre, Hyderabad\. • Building and supporting scalable data engineering solutions and modern data pipelines\. • Working with cloud technologies, data processing, and enterprise data platforms\. • Continuously enhancing expertise in Data Engineering, Cloud Computing, and Generative AI to deliver business value through data\-driven solutions\.

Big Data Consultant at Impetus, Apr 2025 \- Jun 2026 · 1 yr 3 mos, Hyderabad

Azure Data Engineer at Accenture, Dec 2022 \- Mar 2025 · 2 yrs 4 mos, Hyderabad, Telangana, India, \-Designed the high\-level data flow and get it reviewed with the Architect team Experienced in creating pipelines in Azure Cloud ADFv2 using different activities like Move & Transform, Control Flow etc\. \-Understand the business requirement\. \-Developed and Optimized 70\+ data pipelines in Azure Data Factory, boosting data integration and real\-time processing within Azure Data Lake\. \-Built real\-time workflows using Databricks Lakehouse, leveraging Python Spark, and SQL to speed up machine decisioning by 45%\. \-Planned, and develop scalable data pipelines using Azure Data factory\(ADF\), Databricks, Azure Synapse\. Implement ETL processes to Ingest, Optimize and load data from various sources into data lakes and warehouses\. \-Processed and Aggregated raw data with Azure Synapse Analytics, resulting in a 30% reduction in data processing time\. \-Design Azure Data Factory \(ADF\) pipelines and implement logic in the Azure\. \-Databricks notebook in a generic manner for reusability\. \-Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs\. \-Automating the data pipeline using Azure data factory, Azure Synapse Analytics and increasing operational efficiency by 25%\. \-Strong Analytical thinking and problem\-solving skills in Azure\. \-Develop and maintain documentation for data engineering processes and best practices\.

## Education

Master of Computer Applications, Data Modeling/Warehousing and Database Administration, Jain \(Deemed\-to\-be University\)

Bachelor of Computer Applications, Information Technology, Krishna Chaitanya Institute of Science & Technology, Kakatur

## Public links

- github: https://github\.com/karthikeya0904

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

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