Vasu S.

About Vasu S.

Experienced in the field of analytics with a successful record of delivering impactful insights using Python, SQL, Tableau, and Natural Language Processing. Leveraging strong business acumen and analytical skills, I excel at transforming data into actionable strategies that drive business success. Seeking a full-time opportunity in Full Stack Development, Data Engineering, or Data Analysis. I bring a robust background as a skilled Data Engineer and Full Stack Developer in the information technology and services industry. Proficient in Python, SQL, R, Java, JavaScript, TypeScript, and AWS, I am eager to apply my expertise to innovative projects and contribute to organizational growth.

Experience

1. Data Engineer

   Truist

   Sep 2024 — Present · Raleigh, NC, US

   Leading a team of 5 members and managing project, coordinating with Data Science teams to productionize Python, SAS jobs and automate Tableau dashboards, boosting BI reporting efficiency by 60%.• Engineered ETL pipelines in SAS and Python to extract data from diverse sources including SQL Server, CDB2, SAS Grid, and the Enterprise Data Lake. Performed data manipulation using SAS SQL and efficiently wrote the transformed data back to the Data Lake for downstream consumption.• Re-engineered legacy SAS workflows into Python to enhance performance, reduce technical debt, and support long-term modernization efforts.• Developed PySpark scripts to address performance bottlenecks encountered in SAS, significantly improving data processing efficiency on large datasets.• Built scalable Python scripts to process and standardize Excel/CSV files, storing the output in shared drives serving as data sources for Tableau dashboards.• Led efforts to automate and productionize Tableau dashboards, integrating SAS Registry configurations, SAS CRU compliance checks, and shell script-based job scheduling for end-to-end deployment readiness.• Automated the extraction of Excel files and conversion to CSV using Python, eliminating manual intervention and ensuring compatibility with Informatica PowerCenter ingestion processes.• Designed and developed robust Python data transformation scripts to reshape extracted data into business-ready formats tailored for stakeholder consumption.• Created automated Python-based file upload scripts to deliver final CSV outputs to TRIX, streamlining the delivery pipeline. Collaborated with cross-functional teams to validate upstream data sources and assess application migration timelines.

Education

• SRM University

  Bachelor of Technology - BTech

  2013 — 2017

• Indiana University Bloomington

  Master's degree

  2022 — 2024