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Thrinaini Aroori

@thrinainiaroori

Data engineer surfacing $897K in annual risk & building production-grade Palantir Foundry pipelines. Python, SQL, ETL automation.

India

Message

What I'm looking for

Seeking a data engineering role building production-grade pipelines and governance systems with real business impact. I want modern stacks (Palantir Foundry, dbt, Spark) and end-to-end data ownership. Remote-first or hybrid preferred.

I’m a data engineer with production Palantir Foundry experience — governing Ontology, building write-back pipelines, and deploying real-time OSDK React dashboards. At Analyticorex, I surfaced $897K in annual revenue risk by designing SLA failure detection across 99K+ orders and converting a static report into a fully automated, live operational system.

I specialize in translating complex business problems into airtight data systems: automated ETL/EL pipelines, feature-rich KPI dashboards, SQL-optimized schemas, and governance-ready data models. My work reduced manual reporting bottlenecks by 45%, cut executive decision lag by 20%, and delivered a 35% engagement lift through structured workflow automation.

Core stack: Python, SQL, Palantir Foundry (OSDK, Transforms, Write-Backs), JavaScript, pandas, React, Plotly, Streamlit, MySQL, PostgreSQL, MongoDB.

Currently pursuing B.Tech CS (AI & ML minor) at Woxsen University — 9.15/10 CGPA, 50% merit scholarship, Google Data Analytics certified.

Experience

Work history, roles, and key accomplishments

Current

Palantir Foundry Engineer, Data Analyst

Current

Analyticorex

Mar 2026 - Present (3 months)

Built end-to-end ETL pipelines in Python Transforms across 9 raw CSV tables (99,441 orders); designed governed Ontology with
automated SLA validation, referential integrity checks, and audit-ready write-back escalation actions.

SQL Python Data Analysis Palantir Foundry Palantir

Data Analyst Intern

CodeAlpha

May 2025 - Jul 2025 (2 months)

Engineered automated Python/SQL ETL pipelines for multi-source monthly ingestion and added validation scripts with audit logs, improving data accessibility by 45% and removing manual reporting bottlenecks. Built KPI dashboards and Excel performance summaries that reduced executive decision-making lag by 20%.

Python SQL ETL Data Validation Audit Logs KPIs Plotly JavaScript Excel Pivot Tables Data Modeling

Education

Degrees, certifications, and relevant coursework

Woxsen University

Bachelor of Technology (B.Tech), Computer Science Engineering (Minor: AI & ML)

2023 -

Grade: CGPA 9.15/10

Pursuing a B.Tech in Computer Science Engineering with a minor in AI & ML, maintaining a CGPA of 9.15/10. Awarded a 50% merit scholarship based on top JEE Mains percentile performance.