Bhavesh Purohit

Hello, I am Bhavesh Purohit

Code |

Passionate Software Engineer who loves solving complex problems and turning ideas into impactful, real-world solutions. With hands-on experience in building scalable web applications, designing robust backend systems, and deploying cloud-native solutions, I enjoy working at the intersection of technology and innovation.

About Me

Bhavesh Purohit

Full-Stack & Data Engineer with 3 Years of expertise in Python, SQL, Spark, and Cloud-Native Architecture for High-Performance ETL, API, and Analytics Systems.

My journey began with curiosity for how data moves, scales, and powers decisions, and evolved into a passion for building cloud-native architectures, ETL pipelines, and API-driven ecosystems that make technology faster, smarter, and more reliable. I’ve engineered solutions across the stack using Python, SQL, Spark, Django, React.js, Next.js, and Kubernetes, deploying resilient applications on AWS and GCP.

I thrive at the intersection of software engineering and data analytics, where I can design microservices that process millions of records, optimize API throughput, and enable real-time insights for business and financial systems. Whether refining performance bottlenecks or automating workflows, my focus remains the same, building solutions that scale with impact and precision.

Beyond code, I’m deeply motivated by continuous learning and the pursuit of technical excellence, exploring modern frameworks, experimenting with distributed systems, and collaborating with teams who value innovation and measurable outcomes. I’m always open to connecting with professionals who share a vision for using data and software to solve real-world challenges and drive meaningful change.

Welcome to my portfolio, here, you’ll find some of the work I’m most proud of and a glimpse into how I approach building software that matters.

My Timeline 💫

Skills

Python
JavaScript
TypeScript
C++
SQL
Django
Flask
React.js
Next.js
Node.js
Spring Boot
AWS
GCP
Azure
Apache Kafka
Docker
Kubernetes
Jenkins
GitLab CI
Terraform
MySQL
PostgreSQL
MongoDB
Oracle

Projects

StockStream

A cloud-native ELT pipeline that integrates Python and Alteryx with Azure Functions, Logic Apps, and Synapse Analytics to automate stock data processing, transformation, and storage for scalable financial analytics.

TuneSense

Explores Spotify user preferences, playlist behavior, and track patterns using NLP and machine learning in Python. Leveraging REST APIs, pandas, NumPy, and visualization tools, it uncovers musical trends and enriches listener experience.

Electrifying New York

Analyzes EV adoption, rebate distribution, and charging infrastructure across New York State using Python, SQL, and Tableau. It delivers interactive dashboards supporting data-driven policy decisions and sustainable mobility planning.

CarePulse

A healthcare data warehouse using Snowflake, dbt, and SQL to centralize and streamline ICU patient information, enabling hospital management to monitor performance, optimize resources, and generate actionable insights through Power BI.

Cooling Urban Heat Islands

Leverages AI and satellite imagery to predict Urban Heat Islands, using Python, TensorFlow, and Snowflake for data processing and Google Earth Engine for spatial insights, supporting EY’s sustainable urban cooling initiatives.

PowerSmart SC

An interactive Shiny application that analyzes household data, hourly energy consumption, and weather patterns using R (tidyverse, xgboost) to predict peak demand and support blackout prevention through data-driven insights.

Get in Touch

+1 315-496-8715