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
Azure Synapse Analytics
Azure Databricks
PySpark
SQL
Power BI
SSMS
SSIS
Python
Unix
Oracle
Azure Monitor
Logic Apps
Azure DevOps
Delta Lake
ETL development
Big data processing
SQL programming
Microsoft Fabric
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 -