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Piyush KumarPK
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Piyush Kumar

@piyushkumar21

I build scalable ETL pipelines, data warehouses, and AI-driven analytics solutions.

India
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What I'm looking for

I'm looking to build scalable data platforms and AI-driven analytics solutions that improve operational efficiency, while partnering with business and technical teams to turn complex requirements into reliable data products.

At Wolters Kluwer, I design enterprise ETL pipelines and data engineering workflows using Informatica, SQL, and Python across Oracle, SQL Server, MySQL, and Salesforce data.

I've improved SQL query performance by up to 40% through indexing, partitioning, and query tuning, while building automated validation frameworks that strengthen data integrity and reliability.

I implement Informatica MDM solutions, reusable ETL components, and warehouse integrations for structured and unstructured data. I also use Python to automate transformation, cleansing, API integration, and real-time ingestion workflows.

My earlier software engineering work spans railway signalling, banking, and investment applications. I also build AI-driven analytics products, including RAG-based Jira intelligence and a conversational business analytics platform powered by Azure OpenAI, Flask, and schema-aware SQL.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science, Pilani logoBP

Birla Institute of Technology and Science, Pilani

MBA, Business Analytics

2024 -

Grade: 8.0

Pursuing an MBA in Business Analytics with a CGPA of 8.0.

Vellore Institute of Technology logoVT

Vellore Institute of Technology

M.Tech, Computer Science (Artificial Intelligence & Machine Learning)

2021 - 2023

Grade: 8.99

Completed M.Tech in Computer Science with specialization in Artificial Intelligence and Machine Learning, achieving a CGPA of 8.99 with distinction.

PT

Pillai HOC College of Engineering and Technology

B.E., Computer Engineering

2015 - 2019

Grade: 7.2

Completed Bachelor of Engineering in Computer Engineering with a CGPA of 7.2.

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