Summary
Overview
Work History
Education
Skills
Certification
Timeline
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Aruntej Vadthya

Senior Azure Data Engineer
Hyderabad

Summary

Azure Data Engineer with over 6.5 years of experience specializing in delivering scalable data pipelines, enterprise cloud migrations, and real-time reporting platforms. Demonstrated expertise in Azure Data Factory, Synapse Analytics, Databricks, and Power BI. Specializes in managing large-scale retail datasets and AI-driven projects, with a keen emphasis on optimizing cloud solutions for peak performance, security, and cost-efficiency.

Overview

7
7
years of professional experience
4
4
Certifications
3
3
Languages

Work History

Azure Data Engineer

Wipro
12.2021 - Current
  • Client: Microsoft & AustrailainSuper| Domain: AI / Copilot
  • Developed and designed complex ETL pipelines using Azure Data Factory and Synapse.
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Enterprise-scale AI-powered initiative to automate ingestion, transformation, and analysis of KB content and transaction logs.
  • Transformed data using Synapse and Databricks with Delta Lake architecture.
  • Created Power BI dashboards to monitor KB article usage and agent performance metrics.
  • Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
  • Migrated legacy SSIS CRM ETL jobs and procedures to Azure using Visual Studio.
  • Configured ADF pipelines using parameters, triggers, and linked services.
  • Enforced secure architecture via Managed Identity and Azure Key Vault.
  • Utilized Python, Synapse, and ADF for orchestrating pipelines, ensuring high availability and compliance across production workflows.
  • Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.
  • Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
  • Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.

Azure Data Engineer

Tata Consultancy Services
11.2018 - 12.2021
  • Client: Marks & Spencer | Domain: Retail
  • Developed, designed data models, data structures and ETL jobs for complex data.
  • Built and maintained scalable data pipelines using ADF and Databricks.
  • Automated API ingestion using Python into Azure Blob.
  • Validated files and structured datasets using PySpark in Databricks.
  • Orchestrated all pipelines using ADF with monitoring and alerting.
  • Created reusable templates and modular ADF components.
  • Designed Power BI dashboards to enable real-time reporting from Synapse.
  • Worked across retail domains such as inventory, supply chain, and POS systems.
  • Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages.

Education

Bachelor of Technology - Metallurgical & Materials Engineering

National Institute of Technology
Trichy, TamilNadu
04.2001 -

Skills

Azure Data Factory

Certification

DP-203: Azure Data Engineer Associate

Timeline

Azure Data Engineer

Wipro
12.2021 - Current

Azure Data Engineer

Tata Consultancy Services
11.2018 - 12.2021

Bachelor of Technology - Metallurgical & Materials Engineering

National Institute of Technology
04.2001 -

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Aruntej VadthyaSenior Azure Data Engineer