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SATYAM PANDEYSP
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SATYAM PANDEY

@satyampandey5

I build Azure Databricks finance data products, agentic NLP solutions, and high-performance Medallion pipelines.

India
Message

At ZS Associates, I build client-facing finance data products on Azure Databricks, including an agentic NLP query solution on Databricks Genie that reached 78% accuracy and lets 15+ stakeholders query finance data without SQL.

I architect Medallion-based pipelines that consolidate SAP HANA, NetSuite, JD Edwards, and user-managed data into ADLS. I also optimized a daily ETL pipeline processing about 100 million rows, reducing processing time by 70%.

Previously at Celebal Technologies, I developed Delta Live Tables pipelines and SAP ingestion accelerators while improving processing speed with PySpark and Spark SQL. I lead delivery from LLD/HLD design through QA, production cutover, incident RCA, and team onboarding.

Experience

Work history, roles, and key accomplishments

ZA
Current

Senior Data Engineer

Apr 2024 - Present (2 years 5 months)

Built an agentic NLP query solution on Databricks Genie for Gold-layer metric views, reaching 78% accuracy and enabling 15+ business stakeholders to self-serve finance data without SQL. Architected Medallion-based pipelines on Azure, consolidating SAP, NetSuite, and JDE data into ADLS for a client-facing finance data product.

Celebal Technologies logoCT

Data Engineer

Celebal Technologies

Feb 2023 - Jan 2024 (11 months)

Designed and deployed Medallion-based Delta Live Tables pipelines, reducing processing time by 20% and improving data reliability. Built a reusable SAP accelerator to automate data ingestion from SAP ECC into ADLS, and migrated data from various sources into Azure Data Lake Storage using Azure Data Factory.

Education

Degrees, certifications, and relevant coursework

IC

Inderprastha Engineering College

Bachelor of Technology, Information Technology

Grade: 81.50%

Completed B.Tech in Information Technology with 81.50% in June 2023.

Tech stack

Software and tools used professionally

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