Naveen Kumar Tulasi
Senior Azure Data Engineer
Hyderabad,TG
Summary
Results-driven Senior Azure Data Engineer with over 4 years of experience in building scalable, production-grade data platforms on Azure . Expertise in designing high-performance ETL/ELT pipelines , real-time streaming architectures , and cloud-native data warehouses utilizing Azure Data Factory , Azure Databricks , Azure Synapse , and Azure Fabric . Achieved over 30% performance improvement in optimizing data workflows and automated large-scale processes that enhanced team productivity by 25% . Committed to ensuring reliability and scalability while delivering data solutions that significantly impact business outcomes.
Overview
4
4
years of professional experience
6
6
Certifications
3
3
Languages
Work History
Senior Azure Data Engineer
ADP
01.2026 - Current
- Leading the design and development of scalable ETL pipelines using Azure Data Factory and Databricks.
- Architecting real-time and batch data processing solutions for enterprise-scale systems.
- Driving performance optimization and cost-efficient data workflows across platforms.
- Mentoring junior engineers, and contributing to best practices in data engineering.
- Collaborating with cross-functional teams to deliver high-impact data solutions.
- Architected and deployed scalable ETL pipelines using Azure Data Factory for enterprise-scale data processing.
- Creating and maintaining data models that provide efficient access to structured and unstructured data for analytical purposes.
- Ensuring data quality, accuracy, and consistency by implementing data validation checks and establishing data governance practices, such as data lineage tracking, data cataloging, and access control.
- Successfully designed and implemented a data warehousing solution that improved data accessibility and analysis capabilities, resulting in a 30% increase in data-driven decision-making.
- Streamlined data ingestion and transformation processes, reducing data processing time by 40%.
- Implemented data quality checks and automated data validation processes, ensuring data accuracy and integrity.
Azure Data Engineer
ADP
06.2022 - 12.2025
- Collaborating with business stakeholders and team members to comprehend functional requirements, extracting data from various Azure data storage services, and loading it into cloud data stores for further processing and transformations.
- Creating end-to-end data pipelines using Azure Data Factory, managing on-demand clusters, and establishing link services between data sources and destinations, ensuring seamless data flow and integration.
- Setting up and managing Databricks clusters, using Python notebooks to perform data transformations from raw to refined data, and facilitating knowledge transfer to new team members, while supporting existing team members in adapting to upcoming changes in the data engineering environment.
- Successfully migrated multiple data sources to Azure, improving data accessibility and reducing infrastructure costs. Developed and implemented a real-time data streaming solution, enabling faster insights and decision-making.
Education
Bachelor of Technology (B.Tech) - Electronics and Communication Engineering
JB Institute of Engineering And Technology
Hyderabad, India 04.2001 -
Skills
Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
Azure Stream Analytics
Microsoft Fabric
PySpark
Python Programming
SQL Development
ETL/ELT Pipelines
Cloud-based Data Solutions
Power BI
CI/CD Pipelines
Certification
Microsoft Certified: Azure Fundamentals (DP-900)
Timeline
Senior Azure Data Engineer
ADP
01.2026 - Current
Azure Data Engineer
ADP
06.2022 - 12.2025
Bachelor of Technology (B.Tech) - Electronics and Communication Engineering
JB Institute of Engineering And Technology
04.2001 -