Open to opportunities

Vamshi Krishna Reddy Attla

@vamshikrishnareddyat

Data Engineer at VideaHealth building AWS pipelines for dental imaging data and AI-driven diagnostics.

At VideaHealth, I design AWS data pipelines for unstructured dental imaging metadata and structured clinical data, supporting AI-driven diagnostics and advanced analysis. I also model data in PySpark and improve Redshift performance for decision-support dashboards.

At Faire, I shipped ETL pipelines across Snowflake, DynamoDB, and S3, and modeled marketplace data to keep downstream features and metrics stable. I also contributed to data-quality validation, analytics and ML workflows, and self-serve tools for data practitioners.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

VideaHealth

Jan 2024 - Present (2 years 9 months)

Designed scalable ETL/ELT pipelines using AWS Glue and S3 to ingest unstructured imaging metadata for AI-driven dental diagnostics. Developed cloud-native data platforms on AWS, integrating Redshift with Python scripts to process clinical data and support ad-hoc insights.

AWS Glue S3 Redshift Python PySpark Airflow SQL Data Modeling Data Quality Data Governance Agile

Data Engineer

Faire

May 2022 - Jul 2023 (1 year 2 months)

Shipped codeless ETL pipelines routing data to Snowflake, DynamoDB, and S3, enabling analysts to rebuild tables via query headers. Modeled core marketplace entities and orchestrated batch and streaming workflows with robust monitoring and retries.