Vinoth Kanagarathinam

• Automated 20+ analytical and operational reports using AWS Glue, Redshift, and Power BI, optimizing ETL pipelines and reducing manual effort by
25+ hours per week while improving data accuracy by 90%
• Led 3 full-cycle projects as a solo technical resource, building ETL pipelines with PySpark on AWS Glue and orchestrating workflows with Airflow &
Lambda, resulting in 30% faster data delivery and improved system scalability
• Designed Redshift data models and S3-based data lakes to support HR analytics for 300+ employees, improving performance review and KPI
reporting processes across 3 business segments
• Implemented automated pipeline monitoring and alerting using CloudWatch, SNS, and Lambda, reducing downtime and improving pipeline
reliability by 30%

• Engineered automation solutions using PLC (S7-1200) and HMI (TP700, KTP700) for special purpose machines
• Synchronized control system data with enterprise platforms to support real-time reporting