Shiv Kumar
@shivkumar2
Data engineer specializing in PySpark, Azure Databricks, and cost-efficient, high-performance pipelines.
What I'm looking for
I am a Data Engineer with 5+ years of experience building and optimizing enterprise-grade data platforms using PySpark, SQL, and Azure Databricks.
I design Medallion architectures, implement Delta Lake best practices, and tune Spark (memory, joins, AQE) to deliver reliable analytics for global stakeholders.
My work has reduced job completion times by 40% through skew mitigation, cut cloud costs via minimal-scan strategies, and ensured 100% data accuracy with reconciliation and monitoring.
I collaborate across business and engineering, translating finance and marketing needs into scalable data models while maintaining strong observability, modular ETL pipelines, and cost-efficient cluster sizing.
Experience
Work history, roles, and key accomplishments
Data Engineer
Adidas
Apr 2023 - Present (2 years 8 months)
Designed Medallion Architecture and end-to-end Azure Databricks pipelines, resolving extreme data skew and improving job completion times by 40% while enforcing Minimal-Scan strategies to reduce cloud costs.
Developed modular PySpark ETL and Databricks Jobs to process diverse sources, applying broadcast hints and partition tuning to improve query execution time by ~20% and increase pipeline observability.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Pilani (Work Integrated Learning Program)
Master of Technology, Data Science & Engineering
2024 -
Enrolled in M.Tech in Data Science & Engineering through a work-integrated learning program at BITS Pilani beginning September 2024.
RCC Institute of Information Technology
Bachelor of Technology, Information Technology
2016 - 2020
Completed a B.Tech in Information Technology from July 2016 to August 2020 focusing on core IT concepts and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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