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Yashas J Shamaraju

Yashas J Shamaraju

Data engineer.
Systems builder.
Now building for AI.

8+ years architecting scalable cloud data platforms and distributed systems across AWS, Spark, Databricks, Snowflake, and Redshift — currently extending that foundation into RAG, agentic AI, and AI-powered data systems.

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...across the Data Stack

Technical Mastery

My experience spans the full lifecycle of modern data systems—from ingestion and distributed processing to data modeling, reliability, cloud architecture, and increasingly AI-powered applications.

What interests me most is not a particular tool, but understanding how systems behave at scale, where they fail, and how better architecture can make them faster, more reliable, and easier to operate.

Python, SQL, Spark, PySpark, AWS, Microsoft Azure, Databricks, Snowflake, Redshift, dbt, Airflow, Kafka, Terraform, Glue, EMR, S3, Lambda, Talend, Kedro, TensorFlow, RAG, LLMs, Agentic AI

GitHub Projects

[01]

RAG Q&A System

Production-style RAG architecture with retrieval, evaluation, citations, and observability.

[02]

Spark Optimization Lab

Benchmark-driven Spark and Databricks performance optimization case study.

[03]

Agentic Data Workflow

Tool-enabled AI agent for interacting with data systems through controlled workflows.

Featured Projects

Enterprise Data Platform

End-to-end data pipeline architecture using AWS and Databricks for real-time processing.

RAG AI Implementation

Developing custom retrieval-augmented generation systems for proprietary data sets.

Distributed Systems Lab

Researching performance bottlenecks in large-scale Apache Spark clusters.

Let's Connect

Always up for a good conversation about data, AI, or your next big pipeline problem.

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