United States

Product Design

Data Product Management

Data Engineering

Generative AI

Vivek Venkatesan

Data Engineering Specialist

Product strategy

Problem-solving

Critical-thinking

Advanced data analytics

Database management

Python

Qualtrics

Adobe Photoshop

Apache Spark

ChatGPT

Jupyter Notebook

Lucidchart

At Vanguard, I lead key data engineering initiatives focused on optimizing cloud data pipelines and enabling AI-driven insights. I’ve architected and implemented scalable ETL frameworks that power digital analytics, resulting in faster data processing and improved analyst productivity.

One of my major contributions includes designing a compaction strategy that reduced the number of Spark files by over 90%, leading to significant cost savings on AWS GET API calls and improving query performance for end users.

I’ve also worked on integrating AWS Bedrock to classify session intent, helping stakeholders better understand customer behavior at scale. My work directly supports data-driven decision-making across multiple teams.

At Carilion Clinic, I played a critical role in modernizing the data ecosystem by leading the migration from legacy systems to the Snowflake cloud platform. As a Snowflake expert, I helped architect scalable, efficient pipelines that powered real-time analytics across the organization.

During the COVID-19 crisis, I designed and developed a Python-based contact tracing application that ingested survey data from Qualtrics, generated bulk Jira updates, and significantly reduced processing time from 1 hour to under 20 minutes. This tool helped the Infection Control team identify exposure risks faster and keep healthcare workers safe.

My work had a direct operational and clinical impact, enabling the organization to respond quickly during a public health emergency.

At Accenture, I worked with one of the largest health insurance giants in the U.S., where I led data engineering efforts focused on optimizing healthcare data pipelines and supporting regulatory compliance.

I specialized in SQL and Oracle-based systems, and played a key role in migrating legacy processes to modern big data platforms. As a Subject Matter Expert (SME) on HEDIS (Healthcare Effectiveness Data and Information Set), I helped design and maintain robust data workflows that ensured accurate and timely reporting.

My work involved building efficient, scalable pipelines, reducing processing time, and improving data validation workflows that supported high-stakes performance metrics in the healthcare industry.

At Infosys, I was part of major enterprise data integration initiatives for a leading global bank. My work focused on Informatica-based ETL projects, including platform upgrades, large-scale data migrations, and performance optimization.

I contributed to the successful modernization of legacy data pipelines, ensuring smoother transitions with minimal downtime. I also helped streamline data workflows, enabling better data governance and improved operational efficiency across multiple business units.

This role strengthened my foundation in enterprise data architecture and large-scale transformation programs in highly regulated environments.

Vivek Venkatesan🇺🇸