profile-header
PRADEEP PANDEY

PRADEEP PANDEY

Head of Data Engineering and Analytics at Stealth Startup

14+ years of experience

Stealth Startup Logo

Stealth Startup

Huspy Logo

Huspy

Awadesh Pratap Singh University, Rewa

Are you a recent graduate eager to dive into the world of data engineering, or a seasoned professional from another field looking to pivot into this dynamic and rewarding career path? Our exclusive mentorship program, offered through Preplaced.in, is designed to fast-track your journey into the realm of data engineering, equipping you with the skills, insights, and real-world experience needed to excel. Mentor Background: I am Pradeep Pandey, a seasoned data engineering and Analytics expert with over a decade of experience shaping the data landscapes of global giants such as Flipkart, Walmart, Deloitte, and IBM. My journey through the intricate world of data processing, pipeline construction, and analytics has not only honed my technical skills but also instilled in me a passion for nurturing the next generation of data engineers. Program Overview: This mentorship program bridges the gap between theoretical knowledge and practical application, offering: and practical application, offering: Personalized Learning Pathways: Tailored to your current skills and career aspirations, whether you're starting from scratch or transitioning from another tech domain. Hands-On Projects: Work on real-world problems using datasets from varied industries, mirroring the challenges and complexities I encountered at leading corporations. Industry Insights: Gain insider knowledge on the latest tools, technologies, and best practices in data engineering, informed by my experiences at top tech firms. Networking Opportunities: Leverage my professional network to connect with industry leaders and potential employers, opening doors to opportunities in the tech world. Career Guidance: Receive one-on-one career advice, resume reviews, and interview preparation tips to successfully navigate the job market. Who Should Apply: Fresh graduates in computer science, information technology, or related fields, looking to specialize in data engineering. Experienced professionals from other tech or analytical backgrounds seeking to pivot to data engineering for new career opportunities.

About

Accomplished Data Engineering and Analytics leader with more than a decade of experience in building scalable data platforms and data products to help organizations achieve their goals.

Find Me Here

Dubai, United Arab Emirates

Languages That I Speak

Hindi

English

Career Journey

Present

Mar, 2023

( 3Y, 2M )

Head of Data Engineering and Analytics

Stealth Startup Logo

Stealth Startup

Feb, 2023

Aug, 2022

( 6M )

Head of Data Engineering and Analytics

Huspy Logo

Huspy

Jul, 2022

Jan, 2022

( 6M )

Head of Data Engineering and Analytics

GoldenScent Logo

GoldenScent

Dec, 2021

Jan, 2021

( 11M )

Data Engineering Lead

GoldenScent Logo

GoldenScent

Dec, 2020

Nov, 2018

( 2Y, 1M )

Senior Data Engineer

Flipkart Logo

Flipkart

Nov, 2018

Aug, 2018

( 3M )

Senior Data Engineer

MiQ Logo

MiQ

Aug, 2018

Jan, 2018

( 7M )

Software Engineer III / Senior Data Engineer

Walmart Logo

Walmart

Dec, 2017

Feb, 2016

( 1Y, 10M )

Software Engineer II / Data Engineer

Walmart Logo

Walmart

Feb, 2016

Aug, 2013

( 2Y, 6M )

Data Engineering Consultant

Deloitte Logo

Deloitte

Jul, 2013

Dec, 2012

( 7M )

Data Engineer

IBM Logo

IBM

Jan, 2009

Jan, 2006

( 3Y )

Awadesh Pratap Singh University, Rewa

Jan, 2012

Jan, 2009

( 3Y )

Rajiv Gandhi Prodyogiki Vishwavidyalaya

Jan, 2023

Jan, 2022

( 1Y )

The University of Texas at Austin

Technical Skills

SQL LogoSQL
Python LogoPython
Big Data LogoBig Data
Business Intelligence LogoBusiness Intelligence
ETL LogoETL
Data Warehousing LogoData Warehousing
Analytics LogoAnalytics
OLAP LogoOLAP
Spark Streaming
Redshift LogoRedshift
Apache Airflow
Spark LogoSpark

Who can join my Long Term Mentorship Program?

To ensure the success of our mentorship program in data engineering through Preplaced.in, it's crucial to set clear expectations for mentees. This helps foster a productive, respectful, and mutually beneficial relationship between mentor and mentee. Below is a brief outline of the expectations from mentees participating in the program: Commitment to Learning: Mentees are expected to demonstrate a genuine interest in data engineering and a commitment to their personal and professional development. This includes dedicating time and effort to complete assignments, projects, and actively participating in learning activities. Proactivity: Mentees should be proactive in seeking knowledge, asking questions, and taking initiative to explore topics beyond the structured curriculum. The desire to learn and grow should come from within, and mentees are encouraged to leverage this mentorship opportunity to its fullest. Openness to Feedback: Constructive feedback is a cornerstone of growth and improvement. Mentees are expected to be open and receptive to feedback, using it as a tool to refine their skills, work on their weaknesses, and enhance their strengths. Professionalism: Maintaining a professional demeanor throughout the program is essential. This includes adhering to scheduled meetings, communicating effectively and respectfully, and upholding the values and standards of the mentorship program. Collaboration and Networking: Engage actively with the mentor, peers, and professionals introduced through the program. Building a network and fostering collaborative relationships can significantly enhance the learning experience and open up future career opportunities. Ethical Conduct and Integrity: All work submitted must be the mentee's own, and they should adhere to the highest standards of honesty and integrity. This includes respecting confidentiality agreements and the intellectual property of others. Goal-Oriented Approach: Mentees should have clear career or learning goals and communicate these with the mentor. This enables the mentor to provide targeted guidance and support to help mentees achieve their objectives. By meeting these expectations, mentees will not only maximize the benefits of the mentorship program but also lay a solid foundation for a successful career in data engineering. This program is designed to be a transformative journey, and the mentees' engagement, enthusiasm, and professionalism are key to unlocking their full potential.

If you're targeting:

Data Engineer / Big Data

Engineering Manager

Data Analyst

If you're a:

Fresher

🚀 Working Professional

How 1:1 Long Term Mentorship Works

Every element of this, including the schedule will be personalised for your learning pace, situation & goals.

A sample week in long-term mentorship with PRADEEP PANDEY

profile-header
PRADEEP PANDEY

PRADEEP PANDEY

Head of Data Engineering and Analytics at Stealth Startup

14+ years of experience

Stealth Startup Logo

Stealth Startup

Huspy Logo

Huspy

Awadesh Pratap Singh University, Rewa

Are you a recent graduate eager to dive into the world of data engineering, or a seasoned professional from another field looking to pivot into this dynamic and rewarding career path? Our exclusive mentorship program, offered through Preplaced.in, is designed to fast-track your journey into the realm of data engineering, equipping you with the skills, insights, and real-world experience needed to excel. Mentor Background: I am Pradeep Pandey, a seasoned data engineering and Analytics expert with over a decade of experience shaping the data landscapes of global giants such as Flipkart, Walmart, Deloitte, and IBM. My journey through the intricate world of data processing, pipeline construction, and analytics has not only honed my technical skills but also instilled in me a passion for nurturing the next generation of data engineers. Program Overview: This mentorship program bridges the gap between theoretical knowledge and practical application, offering: and practical application, offering: Personalized Learning Pathways: Tailored to your current skills and career aspirations, whether you're starting from scratch or transitioning from another tech domain. Hands-On Projects: Work on real-world problems using datasets from varied industries, mirroring the challenges and complexities I encountered at leading corporations. Industry Insights: Gain insider knowledge on the latest tools, technologies, and best practices in data engineering, informed by my experiences at top tech firms. Networking Opportunities: Leverage my professional network to connect with industry leaders and potential employers, opening doors to opportunities in the tech world. Career Guidance: Receive one-on-one career advice, resume reviews, and interview preparation tips to successfully navigate the job market. Who Should Apply: Fresh graduates in computer science, information technology, or related fields, looking to specialize in data engineering. Experienced professionals from other tech or analytical backgrounds seeking to pivot to data engineering for new career opportunities.

1:1 Session with

Let's use this session to solve few problems in Data Structures & find out areas of improvement.

Vipul

New Tasks added by

Vipul, I have added some videos & problems based on your weaknesses. Try to solve them by weekend.

New Tasks added by

, I am stuck in few concepts.

No worries. Let's connect tonight and fix it.

Vipul Bansal

Yes, I got it now.

09:11

Rohan Jaiswal

Understood.

11:31

Karthikeyan Vishnu

You made it really simple!

13:42

Pratyaksh

I'll complete these.

15:08

Unnat Jain

Thank you

16:09

Vidur

I feel super confident now !

16:24

Ruhi

Thanks a lot

19:42

PRADEEP PANDEY

Online

Mid-week Followup from

Vipul, I see you are lagging on your tasks. Let's catch up the pace. You can do it💪

Thanks , I will surely complete it.

Vipul Bansal

Yes, I got it now.

09:11

Rohan Jaiswal

Understood.

11:31

Karthikeyan Vishnu

You made it really simple!

13:42

Pratyaksh

I'll complete these.

15:08

Unnat Jain

Thank you

16:09

Vidur

I feel super confident now !

16:24

Ruhi

Thanks a lot

19:42

PRADEEP PANDEY

Online

New Resource shared by

Vipul, I came across this interesting article. Check it out. It will help you understand things better.

1:1 Adhoc Call

I feel you did amazing over the week. Let me share you the solutions and how can you do better over a quick call.

Vipul

Mid-week Followup from

I feel super confident about this topic now. I am able to think in a way that I never could before.

Amazing. So happy😄🚀

Vipul Bansal

Yes, I got it now.

09:11

Rohan Jaiswal

Understood.

11:31

Karthikeyan Vishnu

You made it really simple!

13:42

Pratyaksh

I'll complete these.

15:08

Unnat Jain

Thank you

16:09

Vidur

I feel super confident now !

16:24

Ruhi

Thanks a lot

19:42

PRADEEP PANDEY

Online

The Preplaced Promise

Vetted expert mentors

Verified experts with proven outcomes across top product and engineering teams.

7-day money-back

Get a full refund within 7 days if the mentorship isn't the right fit.

Right mentor match

Align your mentorship style and goals before committing to a longer plan.

Free mentor change

Switch to another mentor anytime with zero extra fees on your remaining plan.