Sai Lokesh Vvn

• BIU STAR AWARD winner at AXIS BANK for excellent performance in Data Engineering Team
• Worked with Python, R, SAS, Informatica Power Centre 10.x., and databases like Oracle, Big Data Lake, Flat files with very good experience in SQL.
• Designed, Developed, Deployed and Maintained Numerous Pipelines/ETLs, Dashboards, Datamarts for various verticals across the Bank.
• Developed End-to-end Automation Utility Component using R that supports Vendor Billing Process
• Completed several courses and had Industrial Internship in Data Science and Machine Learning.
• Strong research professional with a Dual Degree focused in Metallurgical and Materials Engineering from Indian Institute of Technology, Madras.

Designed, Developed, Deployed, and Maintained 20+ Pipelines, Datamarts, ETLs, and Dashboards using Informatica PowerCenter and SAS

Single-Handedly developed back-to-back pipelines for crucial Bank-wide RBI operations like Legacy and Onboarding Data Quality, Legacy and Onboarding De-dupe projects

Worked on various Databases like Oracle, Big Data lake & flat files

Built End-to-End Automated Utility Component for Vendor Billing Process using R resulting in the 90% reduction of manual process and time optimization

Production Support: Monitored and solved issues on a regular basis for approx. 250 Informatica jobs run on Hourly, Daily, Weekly, Monthly and Quarterly frequency in the Production EnvironmentDesigned, Developed, Deployed, and Maintained 20+ Pipelines, Datamarts, ETLs, and Dashboards using Informatica PowerCenter and SAS Single-Handedly developed back-to-back pipelines for crucial Bank-wide RBI operations like Legacy and Onboarding Data Quality, Legacy and Onboarding De-dupe projects Worked on various Databases like Oracle, Big Data lake & flat files Built End-to-End Automated Utility Component for Vendor Billing Process using R resulting in the 90% reduction of manual process and time optimization Production Support: Monitored and solved issues on a regular basis for approx. 250 Informatica jobs run on Hourly, Daily, Weekly, Monthly and Quarterly frequency in the Production Environment

Skills: Python (Programming Language) · Oracle SQL Developer · Informatica PowerCenter · SAS (Programming Language) · Machine Learning · Data Science

Indian Institute of Technology, Madras

IIT Madras

Dual Degree in Metallurgical and Materials Engineering

CGPA: 8.94