Raghav Srinivasan
Data Engineer | ETL Pipelines • Big Data (Spark, Databricks) • Cloud (AWS, Snowflake, Redshift) • SQL/Python
- Role
- Data Engineer at Elevance Health
- Location
- Phoenix, AZ, US
- LinkedIn followers
- 500 followers
About Raghav Srinivasan
I’m a Data Engineer with a little over 3 years of experience building reliable data…
Experience
Data Engineer
Aug 2024 — Present · US
Designed end-to-end ETL workflows with Apache Airflow, Python, and SQL to automate ingestion from APIs, databases, andstreaming sources like Apache Kafka. Developed ingestion pipelines in Apache Spark and Databricks to process structured and semi-structured data at scale. Implementedschema handling, partitioning, and performance tuning, which improved efficiency and reduced onboarding time for new sources. Built transformation logic using PySpark and AWS Glue, applying dimensional modeling techniques to design star-schema tables inSnowflake. This optimized reporting pipelines and cut dashboard refresh times by 35% across multiple analytics teams. Designed a data quality framework with Great Expectations and SQL assertions, integrating it into CI/CD pipelines via Jenkins. Thisproactive validation blocked faulty data loads and improved reporting accuracy by 25%. Automated deployment of pipelines and data models into AWS S3, Redshift, and Athena using Terraform. Implemented role-basedaccess controls and encryption policies to ensure compliance with GDPR and CCPA. Set up real-time monitoring and alerting with CloudWatch and Prometheus, building dashboards to track latency and throughput.This enabled the team to prevent 90% of failures before SLA breaches and reduce cloud compute costs by 15% through proactiveoptimizations.
Education
The University of Texas at Dallas
Master of Science - MS, Business Analytics and Artificial Intelligence
Sri Sairam Engineering College
Bachelor of Technology - BTech, Information Technology
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