Marmik Kumar

Palantir Foundry Developer and Assistant System Engineer with 2.5+ years of experience building end-to-end Foundry data pipelines, Ontology models, and Workshop/Slate applications. Proficient in PySpark, SQL, and AWS (S3, Glue, EMR, Athena, Lambda) with strong grounding in the Hadoop ecosystem, ETL pipeline design, and big-data processing. Skilled at translating business requirements into scalable Ontology objects, Contour dashboards, and AI-powered (AIP) analytics that drive measurable operational efficiency.

Assistant System Engineer – Palantir Foundry Developer at TCS (2024-03 – Present)

Client: Stellantis – Supply Chain Domain

• Developed 6+ end-to-end Palantir Foundry pipelines to create scalable Ontology objects supporting supplier, product, manufacturing, and profitability analytics.
• Built Foundry Workshop applications with dashboards, object tables, forms, filters, custom actions, and export capabilities, reducing manual reporting effort by 30%.
• Delivered scalable Foundry data solutions supporting supplier management, inventory planning, production flow, procurement, and distribution analytics, enabling data-driven decision-making.
• Designed and deployed 4+ Contour dashboards with KPI visualizations, drill-down analysis, and dynamic filters, reducing business analysis time by approximately 20%.
• Integrated Palantir AIP Analytics into Foundry applications, enabling AI-powered natural language analysis over Ontology-backed datasets, reducing ad-hoc insight generation time by approximately 30%.
• Engineered and optimized Foundry data pipelines, reducing refresh time for large datasets by 25% and accelerating point-in-time analysis for historical reporting.
• Implemented incremental processing logic using Code Repository, reducing redundant data processing by approximately 35% while preserving historical records for audit and compliance.
• Leveraged Data Lineage to analyze upstream and downstream dependencies, reducing troubleshooting time by approximately 40% and strengthening data governance.
• Created and deployed 5+ interactive Slate applications using TypeScript and JavaScript, delivering dynamic dashboards with filters, Pivot Tables, and seamless Workshop integration.
• Streamlined Slate application performance by identifying bottlenecks, reducing dashboard load time by 30–40%, and improving user experience for 100+ business users.
• Modeled 5+ Ontology objects and relationships to support profitability forecasting, supply chain reporting, and enterprise analytics.
• Improved PySpark transformations and SQL queries processing millions of records, enhancing execution performance and platform reliability.
• Configured Foundry's Ontology access controls to enable secure, role-based data sharing across supplier and manufacturing domains, improving compliance and governance.
• Automated pipeline dependency checks using Foundry's Code Repository and Ontology APIs, proactively identifying schema changes and reducing production failures by 20%.
• Collaborated with 10+ product owners, business analysts, and engineering team members to deliver scalable analytics solutions aligned with business KPIs.

Bachelor of Technology (B.Tech.) in Electronics and Communication Engineering – Heritage Institute of Technology, Kolkata (HIT) (2019 – 2023)