Jagan Vetrivel

Data Engineer with 3+ years of experience in designing and building scalable batch and real-time data pipelines in banking and NBFC domains. Expertise in PySpark, AWS, Databricks, and ETL pipeline development. Strong experience in processing high-volume financial data, implementing data quality frameworks, and building analytics-ready datasets for regulatory reporting and business insights.

Data Engineer - Stats perform

(2023-08)

• Designed and developed scalable ETL/ELT pipelines using Python, SQL, and Apache Spark to process structured and semi-structured data from multiple sources.
• Built automated data ingestion workflows using Airflow and AWS services such as S3, Glue, Lambda, and Redshift for batch and near real-time processing.
• Created and maintained dimensional data models including fact and dimension tables for business intelligence and dashboard reporting.
• Used Git, Jira, and Agile methodologies for version control, sprint planning, and project tracking.
• Supported cloud migration initiatives and modernized legacy ETL workflows into cloud-native architectures.

B.E - MEE - Sengunthar Engineering college (2018 - 2022)