RAHUL SHUKLA - Manager: Data Engineering - Aon

Summary

Data Engineering Manager with 11+ years at Aan, combining hands on technical leadership with people management. Specialized in enterprise data lake and finance data engineering, delivering scalable cloud platforms using Databricks, Snowflake, AWS, Spark, Python, and SQL Trusted partner to Aon's top and executive leadership, translating strategic priorities into reliable, governed data solutions through close stakeholder and vendor collaboration

Overview

11

years of professional experience

Work History

Manager: Data Engineering

Aon

Bengaluru

12.2014 - Current

Lead and manage a team of data engineers delivering enterprise-scale data platforms and finance data engineering solutions supporting global analytics and executive reporting.
Own the design, development, and optimization of the Enterprise Data Lake, ensuring scalability, reliability, performance and alignment with Aon’s enterprise data standards.
Drive end-to-end data engineering solutions across diverse business-critical datasets, including Supplier, Spend, Expense, Corporate Real Estate, Deal Management, Revenue, Procure-to-Pay (P2P) and Investment Reporting.
Partner closely with Aon executive and top leadership to deliver trusted, timely and governed datasets used for strategic decision-making and investment insights.
Design and deliver finance and enterprise reporting data pipelines, enabling leadership dashboards and analytics with improved data quality, consistency, and transparency.
Lead migration and modernization initiatives across cloud data platforms (Databricks, Snowflake, AWS), improving performance, cost efficiency, and operational reliability.
Translate complex business and finance requirements into robust, production-ready data pipelines, collaborating with finance, procurement, real estate, and corporate stakeholders.
Establish and enforce data engineering best practices across data modeling, CI/CD, monitoring, cataloging, security, and governance.
Provide hands-on technical leadership in SQL, Python, Spark, and distributed data processing, acting as an escalation point for complex data issues.
Manage and guide external vendor teams, ensuring architectural alignment, delivery quality, and seamless collaboration with internal engineering teams.
Mentor and develop engineers through coaching, design reviews, and structured upskilling, strengthening overall team capability and delivery maturity.
Improve data availability, accuracy, and timeliness for enterprise and finance reporting, reducing manual effort and operational dependencies across teams.

Education

B.Tech - Computer Science Engineering

Uttar Pradesh Technical University

Greater Noida, UP

01.2014

Senior Secondary Education - Science (Computer)

Kendriya Vidyalaya

New Delhi

01.2009

Skills

Data Engineering & Architecture

Enterprise Data Lake Architecture
Data Warehouse & Lakehouse Design
End-to-End Data Pipeline Development
Batch & Near Real-Time Processing
Data Modeling
Data Security
Data Governance

Data Platforms

Databricks
Snowflake
SQL Server
Amazon Web Services (AWS)

Cloud & Platform Modernization

Platform Migration
Modernization

Programming & Processing

Python
SQL (Advance)
Apache Spark
StreamSets (ETL/ELT)
Azure DevOps (CI/CD, Repos, Pipelines)

Security, Cataloging & Metadata

Immuta
CyberArk
AWS Secrets Manager
Azure App ID
Alation

Collaboration & Content Management

Confluence
SharePoint

Languages

English, Proficient
Hindi, Proficient

Timeline