venkatesh Kandikatla: Email & Phone Number

Opt-Out

Data Engineer (Cloud & Streaming Pipelines) at Fannie Mae|United States

Position:

Data Engineer (Cloud & Streaming Pipelines) at Fannie Mae

Location:

United States

View venkatesh Kandikatla's Email

Up to 10 free lookups. No credit card required.

Last updated: 2025-11-30

Updated: 2025-11-30

Found email addresses for venkatesh Kandikatla:

Business emails:

k**********v@fanniemae.com

Personal emails:

****@centene.com,

****@gmail.com,

****@yahoo.com

Found phones for venkatesh Kandikatla:

+1-909-***-**98,

+1-870-***-**10,

+1-870-***-**56

A different venkatesh Kandikatla?

Work Experience 8 years

Data Engineer (Cloud & Streaming Pipelines) at Fannie Mae

Dec 2023 - Current

Azure Data Engineer (ETL & Real-time Analytics) at Conduent

May 2022 - Jun 2023

Aws Data Engineer at Capricorn Systems, Inc.

Jul 2018 - Dec 2021

venkatesh Kandikatla started working in 2018, then the employee has changed 2 companies and 2 jobs. On average, venkatesh Kandikatla works for one company for 2 years 4 months.

Their professional focus is Agile Methodologies, Amazon Web Services (AWS), and APACHE HANDOOP across 3 core areas.

Education

Master of Science - MS at New England College

Frequently Asked Questions

What is venkatesh Kandikatla's email address?

SignalHire found verified email addresses for venkatesh Kandikatla, both business and personal. Their business email is k**********v@fanniemae.com, and personal emails include ****@centene.com, ****@gmail.com, and ****@yahoo.com.

What is venkatesh Kandikatla's phone number?

SignalHire found multiple verified phone numbers for venkatesh Kandikatla: +1-909-***-**98, +1-870-***-**10, and +1-870-***-**56.

How do I contact venkatesh Kandikatla at Fannie Mae?

You can reach venkatesh Kandikatla through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.

What is venkatesh Kandikatla's professional background?

venkatesh Kandikatla has 8 years of professional experience. They have held roles including Azure Data Engineer (ETL & Real-time Analytics), and Aws Data Engineer at companies such as Conduent, and Capricorn Systems, Inc.. Their education includes Master of Science - MS from New England College.

Is venkatesh Kandikatla's contact information up to date?

Yes. venkatesh Kandikatla's SignalHire profile was last updated on 30 November 2025, reflecting their current position as Data Engineer (Cloud & Streaming Pipelines) at Fannie Mae in Washington, District of Columbia, United States.

venkatesh Kandikatla Namesakes

Name

Company

Position

Venkatesh

Calidus, LLC

PLM ENGINEER

Get contacts

venkatesh

VITA HR Consulting Pvt Ltd

Account Manager

Get contacts

Venkatesh

Malnad College of Engineering

Associate professor

Get contacts

See more profiles

Other employees at Fannie Mae

Name

Company

Position

Callie

Fannie Mae

Director of Sales Marketing

Get contacts

Freya

Fannie Mae

Director

Get contacts

Alice

Fannie Mae

Director of Sales Marketing

Get contacts

Michael Lee

Fannie Mae

Software Engineer

Get contacts

Mason Abbott

Fannie Mae

Accounting Associate

Get contacts

Indya Weaver

Fannie Mae

Advisor, Change Enablement

Get contacts

sindhu Mallipeddy

Fannie Mae

Senior Frontend Developer Via Ascendion

Get contacts

Hannah

Fannie Mae

Director of Sales Marketing

Get contacts

rushik sai gannu

Fannie Mae

Senior AWS Data Engineer

Get contacts

Yuma Hashemi

Fannie Mae

Software Engineer

Get contacts

See more profiles

Data Privacy

GDPR COMPLIANT

SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.

CCPA COMPLIANT

SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.