Vineeth Bodakuntla

Background

About Vineeth Bodakuntla

Hi, I’m Vineeth. I’ve been working as a Data Engineer for around years, with a strong focus on cloud data platforms, particularly the Microsoft Azure ecosystem. My main expertise includes Azure Data Factory for orchestration, Azure Databricks with PySpark for large-scale data processing, and Azure SQL/Blob Storage for storage and reporting. I have built end-to-end data pipelines, starting from ingesting data from diverse sources like APIs, CSV, JSON, and relational databases, then applying complex transformations in Databricks using PySpark, and finally loading curated data into data warehouses for analytics and reporting. Along the way, I’ve implemented best practices such as incremental loads, error handling and logging, partitioning strategies, and performance tuning to ensure pipelines are reliable and scalable. In addition to PySpark, I’m also comfortable with SQL for data analysis and transformations, API integration, and automation tasks. Overall, I enjoy solving data challenges, ensuring high-quality and timely data delivery, and I’m confident my skills in ADF, Databricks, PySpark, SQL, and make me a good fit for data engineering roles in any domain.