Monish Chandrashekar
Manager at PwC
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMonish Chandrashekar is a Data Engineering leader with 10 years of experience building AI-ready data platforms and analytics solutions, currently managing data initiatives at PwC in Chicago. He has a strong track record delivering ETL/ELT pipelines, BI dashboards, and risk/compliance analytics across healthcare, financial services, and mortgage domains, often translating complex regulations and clinical signals into actionable KPIs. His hands-on background includes Spark, SQL, Python, SSIS, Tableau, and integrations with APIs (FEMA, ArcGIS, glooko), enabling large-scale processing of claims and device data. Monish has led offshore teams using Agile practices and delivered automation that significantly reduced manual reporting and resource time. He pairs enterprise integration experience from earlier roles with a pragmatic focus on process optimization and auditability, and has repeatedly turned exploratory analytics into measurable operational improvements.
10 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.) Information Technology, Master of Science (M.S.) Information Technology at Rochester Institute of TechnologyBachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at Visvesvaraya Technological University
Github Skills (6)
segmentation6
python5
nodejs3
git2
cli1
command-line1
Programming languages (2)
Github contributions (5)
shockwave22/Walmart-Trip-Type-Classification
Feb 2017 - Jan 2018
Improve Walmart’s segmentation process by classifying the customer trip types based on the product purchased in that visit, so that it creates the best shopping experience for every customer.
Contributions:13 commits, 12 pushes, 1 branch in 10 months
segmentationpythonwalmartvisitshopping-experience
shockwave22/monishc-portfolio
Feb 2018 - Jan 2019
Contributions:42 pushes, 1 branch in 10 months
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