Arya Mehta

About Me

Hi! I'm Arya Mehta, a Data Engineering Specialist and Full Stack Developer who transforms complex data challenges into powerful business solutions. With a proven track record of optimizing database performance by 40% and architecting systems that process millions of records daily, I bring both technical expertise and business impact to the table.

My technical arsenal includes AWS cloud infrastructure, where I've designed high-performance database solutions and automated pipelines. I've revolutionized data processing workflows using Apache Spark, Airflow, and advanced SQL optimization techniques, resulting in 25% cost reduction while maintaining robust ACID compliance. Beyond the code, I'm passionate about building scalable, secure, and efficient systems that drive business growth through data-driven insights.

👀 View Resume
📥 Download Resume

Fun Fact: 🌃 When the city sleeps, I code—nighttime is when I'm most productive!

My Toolbox

Data Engineering

  • ETL/ELT Pipeline Design
  • Apache Airflow
  • Apache Kafka
  • Data Modeling
  • Data Quality
  • dbt

Big Data & Cloud

  • AWS Services
  • Apache Spark
  • Hadoop
  • Snowflake
  • Docker
  • Kubernetes

Machine Learning & AI

  • TensorFlow
  • Keras
  • scikit-learn
  • Feature Engineering
  • MLOps
  • Model Deployment

Programming

  • Python
  • Java (Spring Boot)
  • JavaScript
  • TypeScript
  • React/Next.js
  • System Design

Databases

  • MySQL
  • PostgreSQL
  • MongoDB
  • Redis
  • Query Optimization
  • Database Design

DevOps & Tools

  • CI/CD
  • Git
  • Docker
  • APIs
  • Testing
  • Monitoring

Achievements

SJ Hacks 2025 Champion

San Jose City Hackathon

Developed an innovative solution for city safety and urban development, winning first place among 100+ participants

Kaggle Competition Winner

Data Science Competition

Secured top 1% position in a machine learning competition focused on predictive analytics

Open Source Contributor

Apache Airflow & dbt

Active contributor to Apache Airflow and dbt projects, with multiple merged pull requests

Technical Excellence Award

University Tech Fest

Recognized for outstanding contributions in developing innovative data engineering solutions