Ramya Rachuri
Austin
Summary
AI/Data Analytics Engineer with extensive experience at Samsung Austin Semiconductors, focusing on data engineering and ETL/ELT processes. Proficient in Azure Synapse and Power BI, with a strong ability to optimize data pipelines and implement AI model validation frameworks. Demonstrated success in ensuring compliance and delivering actionable insights through strong analytical skills.
Overview
10
10
years of professional experience
Work History
AI / Data Analytics Engineer
Samsung Austin Semiconductors
11.2023 - 07.2025
- Built AI model validation frameworks including drift detection and error analysis.
- Developed Azure Synapse + ADLS pipelines for large-scale ingestion.
- Automated SQL backup and data refresh processes using Azure Runbooks.
- Created Power BI dashboards for engineering insights.
- Optimized Spark/Scala pipelines to reduce cost and increase processing speed.
- Implemented Delta Lake versioning for reproducible data science models.
- Ensured IAM and cloud security compliance across environments.
Senior Data Engineer
Cognizant Technology Solutions
04.2016 - 12.2019
- Developed ETL workflows utilizing Informatica, Talend, SSIS, DataStage, and Python for data integration.
- Created AI monitoring dashboards and A/B testing frameworks to enhance analytical capabilities.
- Built Snowflake models for clinical trials and pharmacovigilance datasets, ensuring data integrity.
- Designed KPI scorecards and Power BI dashboards for comprehensive performance analysis.
- Implemented data governance standards and established lineage tracking processes for compliance.
- Crafted complex SQL stored procedures to support varied analytics workloads effectively.
AWS Data Engineer
ITC Infotech
07.2015 - 04.2016
- Constructed AWS Redshift and S3 pipelines to support analytics workloads efficiently.
- Developed real-time data processing pipelines using Spark Streaming for improved performance.
- Created Tableau dashboards that delivered actionable insights for leadership reporting.
- Managed Cassandra and DynamoDB database environments, ensuring optimal performance and reliability.
- Optimized Hadoop YARN processing for enhanced efficiency through targeted improvements.
Education
Bachelor of Technology - Computer Science
Malla Reddy College of Engineering & Technology
01.2015
Skills
- Data engineering and ETL/ELT
- Azure Synapse and
- and Spark
- SQL and Snowflake
- AWS services (Redshift, S3, Kinesis)
- Power BI and Tableau
- AI model validation and drift detection
- A/B testing strategies
- Python and R programming
- Shell scripting
Websites
Timeline
AI / Data Analytics Engineer
Samsung Austin Semiconductors
11.2023 - 07.2025
Senior Data Engineer
Cognizant Technology Solutions
04.2016 - 12.2019
AWS Data Engineer
ITC Infotech
07.2015 - 04.2016
Bachelor of Technology - Computer Science
Malla Reddy College of Engineering & Technology