Palantir Foundry Developer (Python/SQL, PySpark, AIP, Ontology,Workshop) – ₹45K+ Negotiable – India

@shadabkhan92

If you have realtime access will show something cool, as already work on something but if real api;s or data given it will become robust.

@ail5a9f298b597ed

I am a seasoned Palantir Foundry Developer with extensive experience in building and maintaining data pipelines, developing Workshop applications, and implementing AIP Logic workflows. My strong skills in Python, SQL, and PySpark, along with my hands-on experience with Ontology and data modeling, position me ideally for this role. I prioritize delivering production-quality code and innovative solutions that empower business users and drive data-driven insights. You can trust in my reliability and ability to support your data and AI use cases effectively.

@vishal1145

Your Ontology design will break when business users start creating circular link types between objects. I've seen this pattern collapse in 3 Foundry implementations where teams didn't enforce referential integrity at the schema level before building Workshop apps on top. To architect this properly, I need clarity on two things - What's your current data refresh cadence? If you're running incremental transforms every 15 minutes but your source systems only update hourly, you're wasting compute. Second, are your AIP Logic workflows calling external APIs? Latency spikes from third-party services will timeout your agent responses unless you implement async handling with retry logic. Here's the architectural approach: - PIPELINE BUILDER + PYSPARK: Design incremental transforms using checkpointing to process only delta records, reducing pipeline runtime from hours to minutes and cutting Foundry compute costs by 60%. - ONTOLOGY MODELING: Structure object types with proper cardinality constraints and validation rules so Workshop filters don't return null results when users query across link types. - WORKSHOP APPLICATIONS: Build parameterized templates with role-based access control so business users can't accidentally expose sensitive data through custom queries. - AIP LOGIC + PYTHON: Implement function-backed actions with error handling and logging so agent workflows don't silently fail when API calls return unexpected responses. - SQL OPTIMIZATION: Write partition-aware queries and materialize frequently-joined datasets to keep Workshop dashboards loading under 3 seconds even with 10M+ rows. I've built 4 Foundry platforms for clients in manufacturing and healthcare, including one that processes 2TB daily through 50+ interconnected pipelines. I don't take on projects where the data lineage isn't documented - let's schedule a 20-minute call to review your current pipeline architecture and identify bottlenecks before we commit to a build timeline.

@arslanshahid386

Hi there, I see you’re looking for an experienced Palantir Foundry Developer to support your data and AI initiatives. With 4+ years of hands-on experience in Palantir Foundry, I can help you build and maintain effective data pipelines, work with Ontology for data modeling, and develop Workshop applications that meet your business users' needs. My strong skills in Python, SQL, and PySpark will ensure that the code I write is production-ready and efficient. I understand the importance of integrating AIP Logic workflows, and I’m ready to implement those basic agent integrations seamlessly. I am excited about the opportunity to contribute to your team and help drive your projects forward. Could you share more about the specific data use cases you have in mind for the Foundry platform? Best regards, Arslan Shahid

@billybryan98

Hello there, I hope you’re well. I’m an independent Palantir Foundry developer with hands-on experience in building and maintaining Foundry pipelines, modeling ontology, and delivering business-ready Workshop apps. I specialize in turning data into reliable, production-grade solutions through Python, SQL, and PySpark, ensuring scalable data processing and clear data models that align with business goals. I’ve worked on end-to-end Foundry projects involving Pipeline Builder, Transforms, Ontology design (object types and link types), and Workshop interfaces for business users. I also implement AIP logic workflows and integrate basic agents, ensuring robust data flows and governance. My approach is to keep code readable, maintainable, and secure while delivering fast, tangible value. I can handle your project using my Foundry expertise and past experience. I’ll propose a practical plan, with milestones and a ready-to-run pipeline and workshops tailored to your users. I’m confident I can deliver quality results and adapt to your timeline. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@technologiesit

With a decade in the industry, I boast extensive experience in developing intelligent solutions just like the one your project demands. My skillset, which includes AI and API Development, perfectly aligns with your requirements. As a seasoned full stack developer, I bring forth not only proficiency in Python, SQL and PySpark (all of which you deemed mandatory) but also a deep comprehension of Palantir Foundry, incorporating Data Pipelines, Ontology, AIP logic workflows and Workshop applications – all elements crucial for this job. In addition to technical know-how, my approach of turning vision into actionable reality sets me apart. The solutions I build not only fulfil immediate but are also scalable for long-term support. This speaks to the goals you’ve outlined – to build and maintain Foundry databases that cater to data and AI use cases. What's more, my fast-paced delivery paired with clear communication ensures our work remains on track and you'll always be up-to-date on the progress made. Lastly, I bring an unyielding drive to your project. As an individual constantly keeping pace with modern technology trends and digital advancements; adapting to new challenges is second nature to me. So when it comes to Palantir Foundry, I'm committed to being the well-rounded expert you need for your business to thrive in the data space. Let’s collaborate towards creating advanced data pipelines together!

@pinkeegupta

Hi, I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju

@mayr81

Hello, I’m excited to support your search for a skilled Palantir Foundry Developer, especially with your focus on data and AI use cases across Pipeline Builder, Ontology, and Workshop applications. I’ve worked extensively with Python, SQL, and PySpark to build scalable, production-level data pipelines within Foundry, and I’m well-versed in designing object types and link types that align cleanly with business logic. I can help create reliable Workshop interfaces for users while also implementing AIP Logic workflows and lightweight agent integrations to enhance automation. Your need for someone hands-on with Foundry aligns perfectly with my experience, and I’d ensure clean, maintainable solutions tailored to your environment. I’d love to know more about your existing Ontology structure so I can align development efficiently. Best regards!

@jagratip3

Dear Hiring Manager, I have over 8+ years of experience in data engineering and backend development with strong expertise in Python, SQL, and PySpark, along with building scalable data pipelines and workflow systems. I have worked on data-driven platforms involving ETL pipelines, data modeling, and business-facing applications. For your requirement, I can contribute to building and maintaining robust Foundry pipelines, designing Ontology models, and developing Workshop applications for end users. I focus on clean, production-quality code and efficient data processing to support reliable AI and analytics workflows. Proposed approach: • Develop and optimize pipelines using Foundry Pipeline Builder & Transforms • Design scalable Ontology (object types, relationships, data models) • Build Workshop apps for business use cases • Implement AIP logic workflows and lightweight agent integrations • Ensure performance, monitoring, and maintainability Clarification points: • Existing Foundry setup and current pipeline status • Scope of Ontology (new build vs enhancements) • Type of Workshop applications required • AIP use cases and level of automation expected • Project duration (short-term vs long-term support) Estimated timeline : 4 weeks (based on scope) Estimated cost: ₹45,000 I am ready to collaborate and deliver scalable, production-ready solutions aligned with your requirements. Best Regards, JP

@smarketicsinc

Hello! I see you are looking for a Palantir Foundry Developer to manage the end-to-end data lifecycle, specifically focusing on Ontology modeling and Workshop applications. My experience with PySpark transforms and Foundry’s Pipeline Builder allows me to build robust, production-grade data flows. I will approach your project through these steps: 1. Data Engineering: Developing optimized PySpark and SQL transforms within Pipeline Builder to ensure clean, performant datasets. 2. Ontology Architecture: Defining and linking Object Types to represent your business logic accurately within the Foundry ecosystem. 3. Application Development: Building intuitive Workshop modules with integrated Actions to empower your business users. 4. AIP Integration: Implementing AIP Logic workflows to leverage LLM capabilities for automated reasoning and agentic tasks. Expected outcome: A seamless transition from raw data to actionable business insights within the Foundry environment. Are the source datasets already connected via Data Connection, or will we be setting up new syncs as part of this scope?