Suraj Otari

Background

About Suraj Otari

Specialist Data Engineer | Palantir Foundry | AWS | Python | ETL | Data ArchitecturePassionate about building scalable data solutions that drive business insights and operational efficiency. With 6 years of experience in IT, I specialize in data engineering, ETL pipelines, and cloud-based architectures using Palantir Foundry, AWS, Python, SQL, and PySpark.Key Expertise: Palantir Foundry – Data Connection, Code Repositories, Pipeline Builder, Ontology, Workshop, Quiver, Contour, AIP Logic, AIP Agent studio TypeScript – Writing TypeScript functions to make interactive Palantir foundry workshop application. ETL & Data Pipelines – Designing and optimizing workflows for large-scale data processing Cloud Technologies – AWS services (S3, Lambda, EC2, RDS, Glue) for scalable solutions Database Management – MySQL, PostgreSQL, and data lake architectures Software Engineering – REST APIs, data modelling, and automationNotable Projects: Global Ontology – Developed a global ontology for the organization to assist developers in creating applications and conducting analysis. AIP Chatbot – Created a chatbot based on organizational files to assist users with their inquiries, implementing a RAG workflow for chunking and writing AIP Logic functions with prompts. Warranty Utility – Developed a workshop application in Palantir to visualize warranty data, incorporating filters, actions, and function back actions to streamline operations. Warehouse & Extended Warranty Transformation to EDL – Migrated legacy warehouse and warranty data into Palantir Foundry’s Enterprise Data Lake (EDL), optimizing analytics and reporting. Palantir Workshop Dashboards – Built interactive dashboards for real-time insights, improving inventory and cost management. Automated Data Validation – Developed Python-based validation scripts ensuring high data integrity and compliance.Always eager to solve complex data challenges, optimize performance, and deliver high-quality solutions. Open to networking and collaboration opportunities in data engineering, AI-driven analytics, and cloud transformations.