Headline

Palantir Foundry Developer & Data Engineer | PySpark · Python · SQL · AWS | Building scalable ETL & TB-scale migrations | Open to Foundry / Data Engineer roles.

About

Palantir Foundry Developer and Data Engineer with 3+ years building and scaling enterprise data platforms, pipelines and data-driven applications across Finance, Automotive and Oil & Gas. I develop end-to-end Foundry solutions using Code Repositories, Pipeline Builder, Data Connections, Ontology, Ontology Manager, Workshop and Foundry AIP, and manage Control Panel, Governance, Policies, Access Management and Build Schedules for secure, production-grade data integration across Dev, Test and Production. On AWS, I build scalable ETL pipelines using Glue (PySpark), S3, Redshift, Lambda, Step Functions and MWAA (Airflow), with CDC-based ingestion via DMS. I've migrated TB-scale workloads from Teradata, Informatica and Mainframe to AWS, implementing SCD Type 2, CDC, incremental loads and reconciliation with >99% data accuracy. Recent highlight: Improved platform reliability by resolving pipeline, connectivity and ontology-migration issues through structured RCA, reducing recurring incidents and maintaining >99% data accuracy across migration cutovers. Core skills: Palantir Foundry, Pipeline Builder, Code Repositories, Ontology, Foundry AIP, PySpark, Python, SQL, AWS Glue, Redshift, S3, ETL, Data Modeling, Data Warehousing, Data Governance, Data Quality. I'm currently open to Palantir Foundry Developer / Data Engineer roles where I can build scalable, high-impact data solutions. 📫 Reach me: arunvishnoi38@gmail.com

Location

Gurugram

AI stack

claude code

gemini

Work experience

Palantir Foundry Developer / Data Engineer Analyst at Accenture, Mar 2025 - Present · 1 yr 7 mos, Gurugram, Haryana, India, • Contributing to Palantir Foundry solutions for an Oil & Gas enterprise — turning siloed data into governed, operational data products used across business teams. • Built and enhanced production Foundry pipelines and ontology-backed workflows, making business-critical datasets reliable and analysis-ready across Dev, Test and Production. • Developed/contributed to Workshop applications on top of the Ontology, giving operational users easier access to trusted data. • Configured and managed Governance, Policies, Markings and Access Management for secure, compliant handling of sensitive datasets. • Reduced recurring incidents through structured RCA on pipeline, connectivity and ontology-migration issues, improving platform stability.

Data Eng, Mgmnt & Governance Associate at Accenture, Jul 2023 - Mar 2025 · 1 yr 9 mos, Gurugram, Haryana, India, • Delivered cloud data engineering and large-scale migration for global Financial Services and Automotive clients. • Developed AWS ETL pipelines (Glue/PySpark) supporting TB-scale migration from legacy Teradata, Informatica and Mainframe systems to a modern cloud stack. • Contributed to >99% data accuracy at cutovers by building SCD Type 2, CDC and reconciliation logic that caught defects before release. • Automated workflows using MWAA (Airflow), Lambda and Step Functions, reducing manual intervention. • Enhanced 50+ DataStage ETL jobs and monitored 100+ Autosys production jobs, resolving failures and SLA risks through structured RCA.

Education

Master of Computer Applications - MCA, Computer Application, LNCT Group of Colleges

Bachelor's in Computer Application, Sant Singaji Institute of Science & Management Sandalpur, Dewas