Manoj S Pendyala
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Manoj S Pendyala Email & Phone Number

AI | ML | Data Science | Data Engineering Leader at John Deere
Location: Moline, Illinois, United States 6 work roles 2 schools
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✓ Verified August 2026 3 data sources Profile completeness 86%

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Current company
John Deere
Role
AI | ML | Data Science | Data Engineering Leader
Location
Moline, Illinois, United States
Company size
38396 employees

Who is Manoj S Pendyala? Overview

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Quick answer

Manoj S Pendyala is listed as AI | ML | Data Science | Data Engineering Leader at John Deere, a with 38396 employees, based in Moline, Illinois, United States. AeroLeads shows a matched LinkedIn profile for Manoj S Pendyala.

Manoj S Pendyala previously worked as Gen AI Engineering Lead | Technology Leader | Data Analytics | Machine Learning | Data Engineering at John Deere and Senior Software Engineer | Data Engineer | Cloud Practitioner - Data Analytics & Data Engineering at John Deere. Manoj S Pendyala holds Master Of Science (M.S.), Electrical Engineering, A from Wright State University.

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John Deere

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Profile bio

About Manoj S Pendyala

Solutions-focused, Self-directed and motivated IT Professional with 11+ years of extensive experience in developing and delivering cost-effective, highly efficient technical solutions to corporate clients. Experience working in Agile Environment. AWS certified associate and IBM Certified Advanced DBA. Experienced in designing and developing automation around AWS and Azure cloud databases. Created end-to-end DB migration automation of on-premise databases to AWS and Azure cloud PaaS. Lead projects coordinating off-shore and on-site teams to provision cloud infra in critical time-bound environments. Automate provisioning of SaaS, PaaS, IaaS services using CI/CD tools.

Current workplace

Manoj S Pendyala's current company

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John Deere
John Deere
AI | ML | Data Science | Data Engineering Leader
moline, illinois, united states
Website
johndeere.com
Employees
38396
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6 roles

Manoj S Pendyala work experience

A career timeline built from the work history available for this profile.

Gen Ai Engineering Lead | Technology Leader | Data Analytics | Machine Learning | Data Engineering

Current
John Deere

United States

Feb 2022 - Present

Senior Software Engineer | Data Engineer | Cloud Practitioner - Data Analytics & Data Engineering

John Deere

Moline, Illinois, United States

Nov 2021 - Feb 2022

Cloud Software Engineer

John Deere

Milan, Il

• Automated database migrations from on-Prem to AWS and Azure cloud using Jenkins pipeline and Azure Devops.• On-boarded application teams to cloud and provided all required cloud db automation.• Automated the evaluation of cloud infrastructure to ensure they are in accordance to standard security best practices.• Developed an enterprise wide solution for RDS cost optimization process which would find underutilized RDS Instances in all AWS accounts and provide recommendations based on the usage.• Created and publish golden templates which include AWS cloudformation templates and Azure ARM templates for database, database migration with all best practices and monitoring for application teams to provision EC2s, VMs, relational and NoSQL databases.• Automated provisioning of Multi-sharded Mongo clusters, MongoDB DB version upgrade using Cloud Formation, core AWS services and Ansible using CI/CD tools like Jenkins and Github repositories.• Automated On-call processes and standard operating procedures which brought significant reduction in number of calls• Automated AWS RDS system analysis and deliver configuration reports to application owners.• Automated process of Mongo cluster consolidation and saved thousands of dollars to the client.• Automated the process of Cloud RTE refresh between PROD and non-PROD.• Provided 24/7 Production support for DB2 LUW, Netezza and MongoDB Mission Critical DBs

Nov 2019 - Nov 2021

Software Developer

Yash Technologies

East Moline, Il

• Automated database migrations from on-Prem to AWS and Azure cloud using Jenkins pipeline and Azure Devops.• On-boarded application teams to cloud and provided all required cloud db automation.• Automated the evaluation of cloud infrastructure to ensure they are in accordance to standard security best practices.• Developed an enterprise wide solution for RDS cost optimization process which would find underutilized RDS Instances in all AWS accounts and provide recommendations based on the usage.• Created and publish golden templates which include AWS cloudformation templates and Azure ARM templates for database, database migration with all best practices and monitoring for application teams to provision EC2s, VMs, relational and NoSQL databases.• Automated provisioning of Multi-sharded Mongo clusters, MongoDB DB version upgrade using Cloud Formation, core AWS services and Ansible using CI/CD tools like Jenkins and Github repositories.• Automated On-call processes and standard operating procedures which brought significant reduction in number of calls• Automated AWS RDS system analysis and deliver configuration reports to application owners.• Automated process of Mongo cluster consolidation and saved thousands of dollars to the client.• Automated the process of Cloud RTE refresh between PROD and non-PROD.• Provided 24/7 Production support for DB2 LUW, Netezza and MongoDB Mission Critical DBs.

Sep 2010 - Nov 2019

Db2 Database Specialist | Consultant

Capital One

Richmond, Virginia Area

. Provide 24/7 DB2 LUW Database Support.. Configure DB2 LUW databases for specific banking application requirements.

Jul 2011 - Jan 2012

Programmer Analyst | Db2 Dba

Profulgent Inc

Mooresville, North Carolina

• Providing 24/7 DB2 DBA support for Production Environments• Migrated DB2 Databases from V8 to V95 Fixpack 3a.• Migrated V8 Information Integrator to V95 Websphere Federation Server.• Migrated DB2 LUW gateways from V8 to V95 FP3a• Implementation of High Availability Disaster Recovery (HADR) for 24x7 database availability.

May 2008 - Sep 2010
Team & coworkers

Colleagues at John Deere

Other employees you can reach at johndeere.com. View company contacts for 38396 employees →

GB Gavin Brown Gavin Brown Colleague at John DeereScotland, United Kingdom View → AN Alena Nadia Alena Nadia Colleague at John DeereSurabaya, East Java, Indonesia View → AH Anoar Hardt Anoar Hardt Colleague at John DeereIndaiatuba, São Paulo, Brazil View → AS Angela Schaus Angela Schaus Colleague at John DeereCanada View → DF Diego Ferreira Martins Diego Ferreira Martins Colleague at John DeereQuirinópolis, Goiás, Brazil View → MF Moacir Ferreira Moacir Ferreira Colleague at John DeereIndaiatuba, São Paulo, Brazil View → SN Seth Neitzke Seth Neitzke Colleague at John DeereCedar Falls, Iowa, United States View → MS Md Shuja Galib Md Shuja Galib Colleague at John DeerePune, Maharashtra, India View → QE Quincy Ellis Quincy Ellis Colleague at John DeereMemphis, Tennessee, United States View → CM Corey Madison Corey Madison Colleague at John DeereBirmingham, Alabama, United States View →
2 education records

Manoj S Pendyala education

Bachelor'S Degree, Electrical And Electronics Engineering, A

Nagpur University

Bachelor of Engineering in Electronics

FAQ

Frequently asked questions about Manoj S Pendyala

Quick answers generated from the profile data available on this page.

What company does Manoj S Pendyala work for?

Manoj S Pendyala works for John Deere.

What is Manoj S Pendyala's role at John Deere?

Manoj S Pendyala is listed as AI | ML | Data Science | Data Engineering Leader at John Deere.

Where is Manoj S Pendyala based?

Manoj S Pendyala is based in Moline, Illinois, United States while working with John Deere.

What companies has Manoj S Pendyala worked for?

Manoj S Pendyala has worked for John Deere, Yash Technologies, Capital One, and Profulgent Inc.

Who are Manoj S Pendyala's colleagues at John Deere?

Manoj S Pendyala's colleagues at John Deere include Gavin Brown, Alena Nadia, Anoar Hardt, Angela Schaus, and Diego Ferreira Martins.

How can I contact Manoj S Pendyala?

You can use AeroLeads to view verified contact signals for Manoj S Pendyala at John Deere, including work email, phone, and LinkedIn data when available.

What schools did Manoj S Pendyala attend?

Manoj S Pendyala holds Master Of Science (M.S.), Electrical Engineering, A from Wright State University.

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