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Sujay ShandilayaSS
Open to opportunities

Sujay Shandilaya

@sujayshandilaya

Senior Data & AI Engineer building agentic AI and cloud-scale data pipelines.

United States
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What I'm looking for

I’m looking for a role where I can build agentic AI and RAG systems on cloud data platforms, turning pipelines into autonomous, self-serve analytics products—while partnering with teams to deliver measurable impact.

I’m a Senior Data & AI Engineer with 7+ years of experience architecting cloud-scale infrastructure and high-performance data pipelines, using Snowflake and BigQuery to turn raw data into reliable products. I specialize in bridging traditional data engineering with Generative AI by building Agentic AI workflows, LLM orchestration, and RAG systems.

At Ford Motor Company, I built an LLM-powered agent with Chainlit that converts natural language into SQL and interactive charts, improving self-service analytics efficiency by 80% for non-technical users. I also developed an Agentic RAG application to automate retrieval from unstructured files, reducing stakeholder data-discovery time by 40% through natural-language querying of internal knowledge.

Across my roles, I’ve delivered measurable impact by designing serverless ETL on GCP (BigQuery, Composer) to improve data availability by 30%, and creating analytics solutions on Azure Databricks with ADLS Gen2 and Parquet that drove a 40% increase in data-driven sales and marketing. I’ve also improved reporting speed by 80% and reduced data costs by 30% using Airflow and Redshift, while migrating large warehouses (10,000+ objects) from Teradata to BigQuery with Hive and Sqoop.

Experience

Work history, roles, and key accomplishments

FC
Current

Senior AI & Analytics Engineer

Ford Motor Company

Apr 2024 - Present (2 years 2 months)

Built an LLM-powered agent with Chainlit to convert natural language into SQL and interactive charts, increasing non-technical self-service analytics efficiency by 80%. Developed an Agentic RAG application to automate retrieval from unstructured files and reduce data-discovery time by 40%.

DL

GCP Data Engineer

Datametica Solutions Pvt. Ltd.

Aug 2023 - Mar 2024 (7 months)

Built serverless ETL pipelines on GCP (BigQuery and Composer) to automate data ingestion and increase data availability by 30%. Managed CI/CD for data workflows using GitHub Actions and Jenkins while coordinating delivery with global stakeholders.

Education

Degrees, certifications, and relevant coursework

The University of Texas at Dallas logoTD

The University of Texas at Dallas

Master of Science, Business Analytics

Completed an M.S. in Business Analytics at The University of Texas at Dallas.

University of Mumbai logoUM

University of Mumbai

Bachelor of Engineering, Information Technology

Earned a B.E. in Information Technology from the University of Mumbai.

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