Vasu Patel

INTRODUCTION

Curiosity-driven data platform engineer, fond of connecting the dots across ideas, disciplines, and industries. Specializing in building scalable ETL/ELT data pipelines and cloud data infrastructure with strong technical expertise and passion for delivering AI-ready solutions.

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Cloud Data Engineering

GCP & AZURE EXPERTISE

Building scalable data pipelines on Google Cloud Platform (Vertex AI, Cloud Storage, Cloud Run, Eventarc, Cloud Build, Compute Engine, Pub/Sub) & Microsoft Azure (Databricks, Data Factory, Data Lake Storage Gen2, Synapse Analytics)

View all Works.

Data Modeling

MEDALLION ARCHITECTURE

Designing ELT/ETL pipelines with medallion architecture (Bronze, Silver, Gold) for optimal data organization and governance.

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AI & Machine Learning

AI RESEARCH

Developing NLP models, deep learning applications, and predictive algorithms.

About me.

Cloud Platforms

GCP & Azure

DevOps Engineering

ELT/ETL pipelines, Docker, GitHub, CI/CD pipelines

Languages and Database

Python, R, SQL, MySQL, SQL Server, PostgreSQL, BigQuery

Business Intelligence

Advanced Excel, Tableau, Power BI, Metabase

DATA PLATFORM ENGINEER

ABOUT ME

Education

2024 - Present

Master of Science in Business Analytics

Drexel University, LeBow College of Business | GPA: 3.75

2020 - 2023

Bachelor of Business Administration, concentration in Technology Management

Parul University

Experience

Jan 2026 - Present

The Commons XR: Data Platform Engineer Intern

Migrated 9 SQL Server databases to GCP BigQuery (3B+ rows), productionized real-time ELT pipeline processing 1,000+ payloads/sec

Jun 2025 - Dec 2025

The Commons XR: Data and DevOps Engineer Intern

Built event-driven GCP pipelines, engineered federated extraction pipelines, developed ELT pipelines with LLM integration

Apr 2025 - Present

Drexel University: Research Assistant

Engineered scalable NLP workflows using spaCy, NLTK, LDA, LSA, and BERTopic to uncover latent themes across 50+ research papers

Apr 2023 - Aug 2024

Lotus Polytech PVT. LTD.: Junior Data Analyst

Built modular ELT and analytics architecture using PySpark, Azure Databricks, Data Factory, ADLS Gen2, and Synapse Analytics to power real-time operational dashboards across 3 factories

Nov 2022 - Apr 2023

Lotus Polytech PVT. LTD.: Data Analyst Intern

Optimized Azure data pipelines and T-SQL workloads, cutting query latency by 83% and reliably delivering governed data to 6 production Power BI dashboards

Interests

Open-source contributions: Google Cloud Python samples (Pub/Sub to BigQuery)

Chess enthusiast with a strategic mindset

Finance bibliophile

Keen learner of Quantum theory

References

Jan 2024

Dr. Nidhi Singh

I want to emphasize that Mr. Patel's involvement in our research of "The Partial discharge classification model of electrical insulation systems" was up to the mark. He was pivotal in my analysis team, contributing significantly to a research paper that advanced our academic pursuits.

introduction

Experienced Creative mind

Residence	United States
E-mail	vasupatel.atwork@gmail.com

Python & SQL 92%
GCP 85%
Azure 75%
ETL/ELT Pipelines 90%
Machine Learning 73%

some of my recent works

Portfolio

Algorithmic Problem Solving

View All

Doppelganger of Bollywood Celebrity

Deep Learning

Fashion Reverse Image Search

CNN

Text Message Spam Classifier

NLP

Cat vs Dog Classification

Tensorflow

Let's Talk

Contact Me

I'm always interested in discussing data engineering challenges, cloud architecture solutions, and innovative AI applications. Feel free to reach out!

Frequently Asked Questions

I've operationalized production streaming infrastructure handling, while managing large-scale database modernization. My background spans real-time event processing, multi-cloud operations, and infrastructure automation. I understand streaming trade-offs, schema design implications for analytics, and the operational burden of distributed systems. I'm looking for platform engineering opportunities where architectural decisions directly impact system reliability and cost.

I typically juggle 3 to 4 concurrent initiatives—balancing pipeline optimization. I thrive in parallel workflows because data engineering inherently requires managing multiple stakeholders: upstream producers, analytics teams downstream, and DevOps infrastructure partners. I'm comfortable context-switching between low-level systems work and high-level strategic planning. Prioritization by business impact keeps things manageable.

I'm actively shipping production systems at TXCR while maintaining a 3.75 GPA in my MS program, I thrive under concurrent workload. I've delivered streaming pipelines, database migrations, and infrastructure improvements on tight timelines. My capacity isn't theoretical; it's proven through execution. I'm ready to start immediately and deliver measurable impact from day one.

VASU PATEL