Vansh Maheshwari

Executed and monitored 20+ recurring data pipelines per week supporting client analytics and reporting deliverables. Designed and optimized SQL-based transformations and reconciliation checks to ensure data accuracy and consistency. Automated data validation and operational workflows, improving delivery turnaround time by 30%.

Associate – Platform Services at ZS Associates (2025-02 – Present)

• Executed and monitored 20+ recurring data pipelines per week supporting client analytics and reporting deliverables.
• Designed and optimized SQL-based transformations and reconciliation checks to ensure data accuracy and consistency.
• Automated data validation and operational workflows, improving delivery turnaround time by 30%.
• Collaborated with consulting and analytics teams to translate business requirements into data-ready outputs.

Associate Data Engineer at Celebal Technologies (2023-02 – 2025-01)

• Engineered scalable ETL pipelines using PySpark, Databricks, SQL Server, and Snowflake to support enterprise analytics.
• Implemented Medallion Architecture (Bronze–Silver–Gold) with robust validation and transformation logic.
• Led Hive Metastore to Unity Catalog migration, improving governance and compliance adherence by 25%.
• Built a Customer Data Platform enabling centralized analytics and reducing time-to-insight by 40%.
• Automated workflows and deployments using CI/CD best practices, improving operational efficiency by 30%.

B. Tech. in Computer Science Engineering – Galgotias University (2019-2023)