Hello
I'm Gnaneshwar Yadla
Data Engineer • AI Automation Specialist
Building production data pipelines and agentic AI systems.
3+
Years Experience
15+
ETL/ELT Pipelines
500GB+
Daily Data Managed
4+
AI APIs Integrated
About Me
Data Engineer and AI Automation specialist based in Richmond, VA. I have 3+ years of experience building production grade data pipelines and agentic AI systems from 500GB+ daily ETL workflows across Snowflake, AWS, and Azure at Wipro, to multi-LLM automation systems that run entirely on their own. I built an AI-powered job application pipeline that submits 200+ applications a day across LinkedIn, Dice, and Monster using Claude API, Ollama, and Airflow for under $14/month in AI costs. That's the kind of problem I enjoy: real, practical automation built with the right tools at the right cost. I'm currently completing my M.S. in Computer Science at Virginia Commonwealth University (GPA 3.8/4.0), and I'm always building something at the intersection of data and AI.
Education
Master of Science in Computer Science
Virginia Commonwealth University
GPA: 3.8 / 4.0
Bachelor of Science in Computer Science
Presidency University
Featured Data Engineering Projects
A collection of data platforms and pipelines I've built to solve complex business challenges.
AI Job Application Automator
End-to-end pipeline targeting 200+ applications/day across LinkedIn, Dice, and Monster using multi-agent workflows for JD analysis and form filling.
Airbnb Analytics ELT Pipeline
Production ELT pipeline cutting refresh time by 60% with 20+ dbt quality tests across 12+ star schema dimensions.
Uber Trip Analytics Platform
Real-time streaming platform processing 100K+ daily Kafka events with sub-60s latency and 6-month time-travel capabilities.
Multi-Source Sales Dashboard
Consolidated 10+ data sources into 18+ dbt models, cutting query times by 55% and reducing data quality incidents by 50%.
Technical Skills
Technologies and tools I use to build robust data systems
Programming
Data Platforms
AI & Automation
Cloud & Infrastructure
Analytics & BI
Tools
How I Build Modern Data Platforms
End-to-end data architecture from ingestion to insights
Data Sources
APIs • Databases • Events
Ingestion
Kafka • Batch Processing
Orchestration
Airflow • Scheduling
Data Warehouse
Snowflake • Storage
Transformations
dbt • Data Modeling
Analytics
Power BI • ML Models
Let's Build Data Systems That Scale
I'm always interested in discussing new opportunities and challenging data projects.