Karthik Odapally

Principal Solutions Architect - Strategic Accounts

Irvine, California, United States
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Summary

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Senior
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Top School
Karthik Odapally is a Principal Solutions Architect with 11 years of cloud and systems engineering experience, currently advising strategic accounts at Amazon Web Services from Irvine, California. He progressed through hands-on roles in configuration management and developer-focused solutions at Classmates.com and then built deep AWS expertise across gaming and strategic account portfolios. Karthik blends technical architecture, go-to-market advising, and customer-facing solution design to help large customers adopt scalable, cloud-native architectures. He’s comfortable bridging product, engineering, and business needs—translating complex technical constraints into pragmatic, deliverable solutions. A practical technologist at heart, he pairs an engineer’s attention to operational detail with a strategic lens for long-term platform value.
code11 years of coding experience
job9 years of employment as a software developer
bookMasters, Masters at The City College of New York
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Github Skills (8)

aws-services9
localstorage7
amazon-redshift7
amazon-s36
data-warehouse5
ddl5
design-patterns5
data-lake4

Github contributions (4)

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Amazon Redshift offers a common query interface against data stored in fast, local storage as well as data from high-capacity, inexpensive storage (S3). This workshop will cover the basics of this tiered storage model and outline the design patterns you can leverage to get the most from large volumes of data. You will build out your own Redshift cluster with multiple data sets to illustrate the trade-offs between the storage systems. By the time you leave, you’ll know how to distribute your data and design your DDL to deliver the best data warehouse for your business.
Contributions:10 commits, 1 push in 6 days
amazon-redshiftdata-warehouseddldesign-patternslocalstorage
Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.
Contributions:5 commits in 1 day
amazon-redshiftamazon-s3data-lakedata-warehouse
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