Bhargavi Tippareddy

I am a motivated data engineer with hands-on experience building ETL pipelines, working primarily with SQL, Python, and Azure Data Factory. I focus on designing reliable ingestion and transformation workflows for structured and semi-structured data.

I have implemented end-to-end pipelines that extract from CSV/Excel sources, perform data cleaning and transformations, and load into Azure SQL Databases, using parameterization, triggers, and monitoring to ensure reliable runs.

My projects include automated file ingestion using ADF ForEach activities, Python/Pandas transformation scripts, and a mini data warehouse design using star schemas and fact/dimension tables. I emphasize data quality, validation, and performance improvements through indexing and optimized SQL.

I am eager to apply and expand my skills in modern data engineering tools and cloud storage, contribute to analytics-ready data platforms, and continue learning best practices in production data pipelines.