Rajini Rayapati
Dallas,TX
Summary
2+ years of experience in data engineering, specializing in ETL/ELT pipeline development, real-time data streaming, and cloud-based data solutions using AWS, Azure, and Snowflake. Skilled in SQL optimization, data modeling, and delivering actionable insights with Power BI and Tableau.
Positive, analytical problem-solver with strong foundation in data systems and processes. Possesses solid understanding of data modeling and database design, coupled with skills in SQL and Python. Capable of driving data-driven decision-making and improving data infrastructure.
Overview
3
3
years of professional experience
Work History
Data Engineer
American Express (Amex)
06.2024 - Current
- Designed and optimized ELT pipelines in Snowflake using Streams, Tasks, and Snowpipe for real-time data ingestion from multiple sources.
- Built Kafka-based streaming pipelines and AWS Glue workflows to process high-volume financial transactions, reducing processing time by 30%.
- Developed data models and Power BI dashboards, improving executive reporting efficiency by 40%.
- Partnered with stakeholders to deliver analytics dashboards that provided insights into fraud detection, transaction trends, and revenue forecasting.
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
Data Engineer
State Farm
09.2022 - 06.2023
- Built ETL pipelines in Azure Data Factory and Databricks to integrate claims and policy data into an Azure-based warehouse, improving report availability.
- Implemented real-time streaming with Kafka for fraud detection and claims analytics, reducing fraud detection time by 20%.
- Designed Snowflake dimensional models to support Power BI analytics for claims operations.
- Collaborated with teams to migrate on-prem systems to Azure, enhancing scalability and performance.
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
Education
Master of Science - Computer and Information Sciences
Southern Arkansas University
Magnolia, AR12-2024
Skills
- Big Data: Apache Spark, Apache Kafka
- Orchestration: Apache Airflow, Azure Data Factory
- Cloud Platforms: AWS (Redshift, S3, Glue), Azure (Data Lake, Synapse)
- Data Warehousing: Snowflake, AWS Redshift
- Databases: SQL Server, PostgreSQL
- Visualization: Power BI, Tableau
- Automation & CI/CD: Python, Jenkins, GitLab CI/CD
- ETL development
- Data warehousing
- Data modeling
- Data pipeline design
- SQL expertise
- Machine learning
- Data analysis
Timeline
Data Engineer
American Express (Amex)
06.2024 - Current
Data Engineer
State Farm
09.2022 - 06.2023
Master of Science - Computer and Information Sciences
Southern Arkansas University
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