
VenkataSai Adicherla
@venkatasaiadicherla
I build reliable Azure data pipelines and cloud platforms that improve performance, quality, and delivery speed.
What I'm looking for
At Chubb, I architect ingestion frameworks and dimensional data models that turn customer and policy data into trusted, analytics-ready datasets. I also build Cosmos DB delivery layers, Snowflake migration tooling, and Databricks deployment workflows that reduce release setup time.
Previously at EY India LLP, I improved Azure Data Factory reliability by 80% and increased pipeline execution efficiency by 50%+ through PySpark validation and monitoring. I build scalable ETL/ELT systems across insurance and supply chain data, with a focus on data quality, automation, and practical platform ownership.
Experience
Work history, roles, and key accomplishments
Software Engineer – Data Engineer
Chubb
Jul 2025 - Present (1 year 2 months)
Architected ingestion pipeline framework using Databricks Python SDK and Polybase, designed dimensional models, and built Cosmos DB delivery layer. Refactored codebase to cut debugging time by 30% and drove adoption of Databricks Asset Bundles for release efficiency.
Education
Degrees, certifications, and relevant coursework
Sardar Vallabhbhai National Institute of Technology
Master of Technology, Computer Engineering
2019 - 2021
Pursued a Master of Technology in Computer Engineering, focusing on advanced computing concepts and engineering applications.
Guru Nanak Institute of Technology
Bachelor of Technology, Computer Science & Engineering
2014 - 2018
Completed a Bachelor of Technology in Computer Science and Engineering, building a strong foundation in software development and computer systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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