Aruntej Vadthya
Senior Azure Data Engineer
Hyderabad
Summary
Azure Data Engineer with over 7 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, Fabric 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
undefinedCertification
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 -