
Piyush Kumar
@piyushkumar21
I build scalable ETL pipelines, data warehouses, and AI-driven analytics solutions.
What I'm looking for
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
Designed and optimized enterprise-scale ETL pipelines and data engineering workflows using Informatica, SQL, and Python. Implemented Master Data Management solutions and improved SQL performance by up to 40%.
Developed a Python-based test tool to control RBC flow, originally written in ADA, and optimized SQL Server performance. Gained in-depth knowledge of railway signalling systems.
Full Stack Developer
Headstrait Software's
Jun 2019 - May 2021 (1 year 11 months)
Developed enterprise applications across banking and investment domains, focusing on backend services, database integrations, and reporting solutions. Collaborated with product owners and stakeholders to deliver scalable technology solutions.
Software Developer
Trivia Software's
Jun 2017 - Jul 2017 (1 month)
Worked on Python-based application development and data processing initiatives while collaborating with software development teams.
Education
Degrees, certifications, and relevant coursework
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
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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