Durga Gadiraju
Data Engineering & AI Consultant
Dallas-Fort Worth Metroplex United States
Summary
👤
Senior🎓
Top SchoolDurga Gadiraju is a Principal Architect and Data Engineering & AI consultant with 21+ years of experience modernizing enterprise data platforms and building GenAI products for Fortune 500 clients across healthcare, BFSI, retail, and government. He has a proven track record establishing Data & AI Centers of Excellence—defining governance, competency frameworks, and training programs that scale teams of 50–100 engineers. Durga architects cloud-native lakehouse and real-time analytics solutions on OCI, AWS, Azure, GCP, Databricks, Cloudera and Snowflake, handling petabyte-scale batch and streaming workloads. He designs production GenAI systems including RAG-based assistants, intelligent document processing, and AI agent workflows using OpenAI, LLaMA, LangChain, and vector DBs. As co-founder of ITVersity he’s upskilled hundreds of engineers through hands-on curricula, blending consulting with scalable education—a combination that accelerates client adoption of responsible AI. Early hands-on work restructuring Hadoop MapReduce code reflects deep roots in performance tuning and pragmatic platform migration.
11 years of coding experience
13 years of employment as a software developer
School, School at Rose ConventMasters, Computer Applications., Masters, Computer Applications. at P. B. Siddhartha CollegeSchool, School at RSMRHV EM SchoolB. Sc, Mathematics, Physics and Chemistry, B. Sc, Mathematics, Physics and Chemistry at Osmania University
Github Skills (6)
javas10
hadoop-mapreduce10
mapreduce10
hadoop10
java10
data-engineering9
Programming languages (1)
Github contributions (3)
dgadiraju/code
Nov 2014 - Jul 2016
Role in this project:
Backend Developer
Backend DeveloperContributions:118 commits in 1 year 8 months
Contributions summary:Durga primarily focused on organizing and restructuring existing code within the `hadoop/getting_started` directory. This involved modifying Java files related to mapping and reducing card data, likely for a Hadoop-based application. The changes also include modifications to files related to performance tuning and adding features related to compression. The user demonstrated a focus on improving the existing codebase.
dgadiraju/itversity
Feb 2015 - Feb 2015
Contributions:1 commit in 1 day
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