Rahul Chetwani

About Rahul Chetwani

Experienced Data Engineer with end-to-end data experience, including 4–5 years focused on building and optimizing scalable data pipelines and cloud data platforms using both AWS and Azure. Proficient in Databricks, PySpark, Airflow, SQL, and modern ETL/ELT frameworks. Hands-on experience with AWS (S3, Lambda, Glue, Redshift, Athena) and Azure (Data Factory, Blob Storage, Synapse). Adept at designing robust data models, automating workflows, and integrating data from diverse sources to deliver analytics-ready datasets. Strong foundation in Tableau and BI development, recognized for improving data quality and enabling enterprise-level decision-making.

Experience

1. Senior Associate

   JPMorganChase

   Jun 2023 — Present · Bengaluru, IN

   CCB-Finance Data & Insights ProjectsTechnologies Used: Databricks, AWS, Azure, Essbase, Python, PySpark, SQL, TableauFDM Team:Extracted and integrated data from AWS S3, Databricks Delta tables, and Essbase.Applied complex business logic to merge datasets, calculate metrics, and pivot data, thereby creating structured data models and views in Databricks for advanced analytics.Utilized Python and PySpark to process large datasets efficiently, automating the transformation pipeline and ensuring high performance.Access Transformation TeamDesigned and implemented an end-to-end access control automation system using Azure Data Factory, Azure Functions, and Azure SQL Database to manage permissions for over 1,600 approver groups.Built dynamic data ingestion pipelines in ADF to fetch user access data from enterprise APIs and store it securely in Azure Blob Storage.Integrated with Azure Key Vault to securely manage and rotate access credentials for API calls and database connections.Enabled automatic update of access mappings in Delta Lake tables on Databricks, supporting downstream analytics and governance reportsImproved compliance posture and audit readiness by generating scheduled snapshots of access data and storing them in versioned Blob containers.Resulted in significant time savings, reduced manual intervention, and improved security traceability across the access management lifecycle.Integrated Data Engineering Impact:Designed and implemented robust ETL processes that leveraged advanced PySpark techniques alongside Python to handle complex data transformations and large-scale integrations.Consolidated insights across projects to deliver a unified, scalable data solution, boosting data quality and governance for financial analytics.Played a key role in enabling actionable insights for strategic decision-making by delivering high-performance, automated data pipelines that significantly reduced manual intervention.

Education

• Kalinga Institute of Industrial Technology, Bhubaneswar

  Bachelor of Technology - BTech, Electrical Engineering

  2009 — 2013

• Symbiosis Centre For Management and Human Resource Development

  Post Graduate Diploma in Business Analytics, Business Analytics

  2018 — 2019

Skills

• Team Management
• Pl/Sql
• Sql
• Tableau