Palantir Foundry Support for Data Engineer -- 2

@softsolution2000

I have extensive experience with Palantir Foundry, Ontology, Code Workbooks, Quiver, Workshop, and strong skills in SQL, Troubleshooting, Debugging, Data Integration, and Data Governance. I am confident that my expertise aligns well with the requirements of the project. Budget flexibility is not an issue as my priority is delivering quality work within your constraints. Please review my profile for a comprehensive view of my 15 years of experience and successful projects. I am ready to start working and showcase my dedication to this project. Let's discuss the details and get started right away.

@juanjosec63

Hello, I’m excited about the opportunity to support you hands-on in your role as a Data Engineer working with Palantir Foundry and AIP. With strong, practical experience across Ontology modeling, Code Workbooks using PySpark and SQL, Quiver pipelines, and Foundry applications like Workshop and Contour, I can help you design, optimize, and debug production-grade data and feature engineering workflows while staying aligned with enterprise governance and security requirements. I’m comfortable collaborating remotely, providing clear technical guidance during live engagements, and supporting best practices around CI/CD, testing, and deployment so your pipelines remain reliable and scalable. You can expect responsive support, structured problem-solving, and a focus on delivering high-quality Foundry solutions efficiently. Best regards, Juan

@ivicab6

Hi, I have hands-on experience working with Palantir Foundry across Ontology modeling, Code Workbooks, Quiver pipelines, and Foundry applications like Workshop and Contour. I’ve supported production data and feature engineering pipelines for AI and machine learning workloads, focusing on clean transformations, performance, and strong governance. I’m comfortable helping with pipeline design, debugging, CI/CD practices, and live troubleshooting while collaborating closely with engineering and analytics teams. I’m available for ongoing remote support and can step in quickly to help keep Foundry workflows reliable and production-ready. Best, Ivica.

@rositai9805

Hi, there, I noticed you’re looking to work on Palantir Foundry pipelines and ontology design, and I’ve built very similar solutions in real-world environments powering AI workloads. I have 7+ years of experience in data engineering and cloud-native platforms and have mastered Palantir Foundry, PySpark, and SQL for complex data pipelines. In a recent project, I optimized Foundry pipelines that integrated multiple source systems for an AI-based recommendation engine, enhancing data throughput and feature availability. ✅ I will start by refining Ontology models to ensure accurate data relationships across your datasets. ✅ Then, I'll build and optimize robust Foundry pipelines using Code Workbooks, PySpark, and Quiver to streamline data transformations. ✅ I’ll implement enterprise-grade security and permissions architecture aligned with governance policies. ✅ Development of interactive analytics apps using Workshop, Contour, and Slate will support business decision-making. ✅ I will provide CI/CD best practices and real-time troubleshooting support to maintain pipeline reliability and production readiness. Quick question: How large and diverse are the data sources feeding into your Foundry pipelines, and what’s the approximate volume of data processed daily? I look forward to working with you. Best Regards, Rosita Iniesta

@phpxpert89

Hello , I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on SQL, Troubleshooting, Debugging, Data Integration, Data Governance, Cloud Foundry, PySpark, Data Modeling, CI/CD, Ontology We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@christianj014

Hello, I am excited to bring my expertise in data engineering and enterprise data governance to support your Palantir Foundry project. Having worked extensively with modern frameworks like Laravel and Yii, I can easily adapt my skill set to include Palantir Foundry's unique requirements as a hands-on professional. Over the years, I have honed my skills in building, optimizing, and troubleshooting pipelines - skills that are directly aligned with your core responsibilities. My proficiency in Python, PySpark, and SQL will provide you with a seamless transition for your data transformation needs. Moreover, as an experienced remote worker, I understand fully the importance of clear communication and efficient delivery. I know how to quickly grasp complex systems like Palantir Foundry and guarantee production-quality solutions even in remote environments. I look forward to offering my knowledge and contributing to the success of your project. Best Regards

@ivank69

Hi there Which parts of Foundry are causing the most friction right now, Ontology design, pipeline performance, or permissions and governance? Are your AI workloads batch focused, or do you also have near real time feature refresh requirements tied to AIP? This is a strong fit for ongoing, hands on Foundry support. The work can focus on stabilizing pipelines, improving transform performance, and keeping Ontology and permissions clean so downstream AI and analytics stay reliable. A similar situation came up on a Foundry program supporting ML feature pipelines across multiple sources. The main issues were slow PySpark transforms, unclear Ontology boundaries, and fragile permission setups during client delivery. That was solved by tightening entity models, optimizing transforms, adding testing and CI patterns, and standardizing security rules early. Pipeline reliability improved and live client troubleshooting dropped significantly. Strong experience with Palantir Foundry, PySpark, Ontology modeling, and production support fits this well. Ready to start immediately and collaborate flexibly as a long term support partner.

@jessev08

Hi I can help you to provide hands-on Palantir Foundry support in your Data Engineer role, focusing on building and stabilizing production-grade data and feature pipelines for AI and ML workloads. The most common challenge in Foundry environments is not tooling itself, but aligning Ontology design, transformations, and permissions so pipelines stay performant, governable, and usable by downstream applications. I can help you to design and refine Ontology models, implement complex transformations in Code Workbooks (PySpark, SQL, Scala) and Quiver, and debug or optimize pipelines that are already in production. I can also help you to prepare high-quality ML features, manage data freshness, and resolve issues that surface during live client work. On the application side, I can help you to support analytics and decision workflows using Workshop, Contour, and Slate, while ensuring security, access control, and enterprise governance are correctly enforced. The goal is to act as a flexible technical partner—guiding best practices, unblocking issues quickly, and helping you deliver reliable Foundry solutions with confidence. Thanks, Jesse

@freelancerjohnr1

Hi — this lines up perfectly with my experience supporting production data platforms on Palantir Technologies Foundry. I’ve worked hands-on with Ontology modeling, Code Workbooks , and Quiver pipelines, helping teams design scalable transformations and debug complex production data flows that feed AI/ML workloads. I’m comfortable stepping into existing Foundry stacks, improving performance, and aligning data models with real business logic.

@abhijiths26

Hi, I'm Abhijith S. I have 4+yrs hands on experience in PySpark and SQL, I have built various data pipelines using PySpark. I majorly worked on databricks. I can lend you my technical ability to support and improve your existing Palantir Foundry infrastructure. Utilizing my proficiency in Python and experience with Data Governance and Integration, I can assist in designing and implementing Ontology models and complex data transformations across multiple source systems as outlined in the description. Furthermore, my business-facing experience as a former data analyst equipped me with strong troubleshooting capabilities. I have managed to turn vast amounts of complex data into valuable insights using SQL. And by building an alert system based on performance analysis, I have demonstrated my ability to identify unusual spikes, which aligns with your need for supporting live client engagements.

@datawithekant

I've worked on Palantir Code Repository, Contour, Data sync. I've built incremental pipelines, worked with finance and HR data.