Faraz Ahmed Khan

About Faraz Ahmed Khan

I’m a Data Engineer with over 4 years of experience designing, building, and optimizing scalable data solutions that empower data-driven decision-making.Currently, I’m part of PwC as a Forward Deployed Engineer, where I work hands-on with Palantir Foundry and modern data engineering frameworks to deliver advanced analytics and forecasting solutions. My work involves building robust data ecosystems, optimizing performance, and driving digital transformation initiatives for clients across industries.Previously, I spent 4+ years at Tata Consultancy Services (TCS), where I worked extensively on Palantir Foundry, Databricks, and AWS. I developed end-to-end data applications, ETL pipelines, and analytical workflows for global enterprise clients, building strong expertise in Python, PySpark, SQL, and Azure. This experience gave me a solid foundation in data modeling, transformation, and visualization at scale.• Key Skills: PySpark, SQL, Palantir Foundry (Ontology, Code Repositories, Workshop), Databricks, AWS, Azure, ETL, Data Pipelines• Interests: Cloud Data Engineering, AI-driven Analytics, Palantir Foundry Solutions, Scalable Data ArchitectureAlways open to connecting with data professionals, learning emerging technologies, and exploring how data can fuel smarter, more strategic business decisions.

Experience

1. Senior Associate Forward Deployed Engineer (Data Engineering Palantir Foundry)

   PwC

   Aug 2025 — Present · Mumbai, IN

   Working as a Forward Deployed Engineer delivering end-to-end data engineering and application solutions within Palantir Foundry, combining technical implementation with business problem-solving.• Architected and maintained scalable data pipelines and transformations in Foundry and Python/SQL, enabling clean, high-quality data flows for analytics and decision-making.• Developed and deployed multiple Foundry Workshop applications integrating both backend and UI workflows, enhancing data visibility and user interactivity for clients.• Currently leading a project for a major American engineering and construction firm, developing a Forecasting Tool within Foundry to analyze AI impact and demand trends across job roles, supporting strategic workforce planning.• Built an Anomaly Detection App in Foundry to identify irregularities in General Ledger data, improving financial data integrity and audit accuracy.• Designed a Cost Estimator App in Foundry to project and compare potential project costs, enhancing budget forecasting and decision-making for large-scale engineering projects.• Collaborated closely with cross-functional and client teams to translate analytical requirements into Foundry Ontologies, Code Repositories and Workshop Applications, ensuring seamless integration between data and business use cases.

Education

• Medicaps University

  B.Tech,Computer Science Engineering

  2017 — 2021