Prashanth R.

About Prashanth R.

Certified Senior RPA & Data Engineer with 8+ years of IT experience, including 7+ years…

Experience

1. Senior Rpa & Data Engineer Palantir Foundry Expert Automation, Analytics & Ai Solutions

   Deloitte

   Mar 2024 — Present · Atlanta, GA, US

   Designed, developed, tested, and deployed RPA solutions using UiPath, Automation Anywhere, and Blue Prism. • Built scalable automation scripts to handle repetitive tasks, improving efficiency by 25%. • Collaborated with stakeholders to automate key business processes, reducing manual work by 30%. • Provided documentation, including workflows and technical architecture, ensuring alignment with state policies and security protocols. • Monitored and maintained RPA tools, troubleshooting issues to minimize downtime. • Participated in governance forums and established best practices for RPA implementation.• Engineered scalable data pipelines and workflows in Palantir Foundry to support the data42 initiative—a strategic program focused on breaking down data silos and delivering actionable insights to accelerate innovation in research, development, and operations.• Collaborated with cross-functional teams—including scientists, engineers, and business analysts—to align data solutions with the initiative’s goal of fostering a data-driven culture. Designed pipelines capable of ingesting, transforming, and enriching complex, multi-source datasets for enterprise-wide accessibility.• Developed robust workflows and user-facing applications using Foundry’s Code Repositories and Slate, enabling intuitive access to integrated data through visualizations and dashboards. These tools empowered non-technical stakeholders to engage with data for use cases ranging from operational reporting to advanced analytics.• Optimized data processing using Python and PySpark, leveraging Foundry’s architecture to manage large volumes of structured and unstructured data. Streamlined transformation logic to enhance performance and reduce processing times.• Implemented rigorous data quality and governance practices, including validation checks, automated monitoring, and error handling, ensuring high data reliability and building trust in data-driven decision-making across the organization.

Education

• Southern New Hampshire University

  Master's degree, Information Technology

  2015 — 2017