Maulik Agarwal

Seattle,WA

Summary

A Solutions Architect with 7+ years of experience specializing in designing, developing, and managing enterprise-grade Data Warehousing and Data Engineering solutions with deep expertise in Databricks implementations. Proven track record of migrating legacy BW platforms to Databricks and supporting major CPG/Retail clients including Pepsi, Utz, Callaway, and Conagra.

Overview

years of professional experience

Work History

Assistant Vice President

Celebal Technologies

Seattle, Washington

12.2018 - Current

Architecting and developing Databricks-based Data Lakehouse/Data Engineering solutions for enterprise clients
Building a delivery center focused on migrating legacy SAP systems to Databricks spanning over 100 Databricks engineers and 2.4M USD revenue yearly
Pre-sales activities and solution design for 6+ years, developing technical proposals and POCs for Fortune 500 clients
Designed and implemented a specialized delivery accelerator that efficiently transfers SAP security frameworks to Databricks environments, preserving complex authorization models
Specialized in migrating legacy Business Warehouse platforms to modern Databricks Lakehouse architecture
Led strategic Databricks implementations for major CPG/Retail clients including Pepsi, Utz, Callaway, and Conagra

Education

Master's - Business Analytics

Texas A&M University Commerce

Dallas, TX

08.2023

Bachelors of Techology - Computer and Communication

Manipal University Jaipur

Jaipur, India

05.2019

Skills

SAP BDC
SAP Functional
SAP BW Migrations to Databricks
SQL
Python
Data Modelling
Apache Spark

ETL Data Warehousing
Power BI
DevOps
Team Management
Microsoft Azure
Databricks
Unity Catalog

Projects

SAP BW to Databricks Lakehouse Transformation for a Global Beverages Company

Advanced Migration Execution: Successfully transferred one of SAP BW's most intricate multidimensional inventory data models to Databricks, establishing a paradigm for complex data structure migrations.
Strategic Architecture Framework: Developed authoritative migration methodologies that became the cornerstone for all subsequent SAP BW to Databricks transformations, optimizing data flow patterns and architectural principles.
Enterprise Security Assurance: Engineered the translation of sophisticated SAP authorization models into Databricks' native security constructs, preserving hierarchical access controls while enhancing governance capabilities.
Performance Optimization: Achieved 60% query performance enhancement through implementation of advanced Databricks acceleration techniques, custom-designed materialized views, and optimized I/O patterns.

Accomplishments

Built and led a Delivery Center generating revenue of 2.4M USD

Timeline