Building scalable AI-powered data systems that transform raw information into intelligent insights
Hi, I'm Nitin! I'm a Data Engineer with around 6 years of hands-on experience working across cloud platforms like AWS and Azure, helping teams make sense of their data and build reliable, scalable systems.
Most of my work has focused on building end-to-end data pipelines, modernizing legacy systems, and developing enterprise data warehouse solutions that bring together data from all kinds of sources. I've worked with tools like PySpark, Azure Data Factory, Databricks, Snowflake, DBT and AWS services including S3, Glue, and Lambda.
I've dealt with large-scale data volumes and have been responsible for everything from ingestion and transformation to performance tuning and designing semantic layers that support analytics and reporting.
In the last year or so, I've been diving into the world of Generative AI, especially how large language models (LLMs) can be integrated into data workflows.
I've built RAG-based chatbots using LangChain and Amazon Bedrock, working with models like Claude and LLaMA. I've also been experimenting with agentic AI systems — coordinating multiple agents to automate coding and integration workflows — using tools like Cursor and Vibe to streamline development.
On the ML side, I've worked with NLP tools like SpaCy and Pandas for text processing, and have some hands-on experience with TensorFlow for deep learning projects.
I enjoy working at the intersection of data engineering and AI, especially where it helps real teams make better decisions or build faster. Whether it's designing scalable infrastructure, tuning a pipeline, or getting LLMs to do useful things — I'm all about solving problems with clean, reliable solutions.
Designing scalable data warehouses and lakes
Building streaming data pipelines
LLMs, RAG, Vector Databases
AWS, GCP, and Azure expertise
Explore my latest projects showcasing data engineering excellence and AI innovation
Amazon Web Services • 2025
Foundational AI/ML knowledge and AWS AI services
Modern data platform on Microsoft Azure, featuring a multi-layered data lake architecture and integrating with GCP for source data.
AI-powered recipe assistant built with AWS Bedrock, AWS S3, LangChain for Orchestartion and multi step reasoning, FAISS Vector store, and Python Streamlit.
End-to-End solution using Amazon SageMaker.
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Last updated: December 2024
nitintadasinawork@gmail.com
Phone
+1 (313) 799-2849
Location
United States