Senior Data Engineer
Works on data engineering, lakehouse, analytics, and reliability-focused data systems.
Durgesh Yadav is the Founder of PrepNPlaced, a Senior Data Engineer at 7-Eleven, Ex-Target, and a practical mentor for learners preparing for Data Analyst, Analytics Engineer, and Data Engineering roles. Through PrepNPlaced, YouTube, Topmate, GitHub projects, and CareerOS, he helps learners move from scattered preparation to structured, job-ready execution.

Founder-led data career preparation
Practical mentorship across SQL, Python, Power BI, PySpark, projects, resume proof, and interviews.
Verified mentor track record
Real ratings and reviews from the platforms where Durgesh teaches and mentors — 600+ written testimonials and counting.
Data Engineer @ 7-Eleven · ex-Target · Instructor @ Scaler & Bosscoder
Bosscoder
4.85/5
535 ratings · 160 learners
Live cohort teaching
Newton School
4.7/5
Python lecture series
Live lectures
Topmate
4.3/5
503 ratings · 350+ reviews
1-on-1 mentorship
4.9
Knowledge
4.9
Teaching skills
4.9
Engagement
4.8
Doubt-solving
4.8
Punctuality
4.8
Relevance
Durgesh isn't just a mentor, he's more like a brother to me. His wisdom and kindness have taught me things money can't buy. I've grown so much under his guidance — he knows how to make it click for each person individually.
An amazing, eye-opening experience for anyone confused as a fresher or experienced person about what to learn or which domain to switch into. Durgesh gave a clean, clear view, understood everything with patience, and shared very useful tips to crack companies within 3-4 months.
The most informative and best session. Durgesh genuinely tries to guide you according to your preferences — his candid suggestions and precise insights are value-driven. It was an absolute delight talking to him.
The way he guides you and shows you the right path using his knowledge and experience is really amazing. You feel charged up after a chat with him. I'd really recommend this for anyone who wants to make a mark in this domain.
A wonderful and amazing session — so informative and motivating throughout. Thanks for helping me with the whole roadmap of data analytics and your guidance. I would recommend a 1-on-1 session with Durgesh!
A great conversation with Durgesh. He gave me a clear guidance path as well as free resources for self-learning. Hats off to the work you're doing for novice aspirants who want to come into this data world.
A lovely session with Durgesh. He helped me understand my resume and how to tackle the job market wisely. I highly recommend Durgesh to anyone who is confused and needs some guidance.
Durgesh is one of the best mentors I have ever come across, hands down — his delivery, teaching methods, patience and in-depth knowledge. He entertains every query without making us feel small, which is rare.
Durgesh is an amazing instructor. I really want to learn all the important topics from him only — he makes even the complex topics simple.
Thank you for teaching me with so much patience and care, Durgesh. Really grateful to have learned from you.
Durgesh is excellent in teaching and helps us enhance our knowledge beyond just the topic. He genuinely invests in our growth.
Exceptional, informative sessions by Durgesh. The concepts are taught with real examples that make everything click.
Official Profiles
Public profile links for the real Durgesh Yadav and PrepNPlaced channels, including free lessons, founder posts, projects, mentorship, and public social coverage.
Free lessons, playlists, and career talks
Career insights and data engineering posts
Founder and data-career thoughts
Public analytics and data engineering projects
Creator profile and social coverage
Mentorship, products, and testimonials
Career and learning updates
Public founder profile
Trust Snapshot
A concise view of the public proof signals already visible across PrepNPlaced, founder channels, projects, and mentorship surfaces.
Works on data engineering, lakehouse, analytics, and reliability-focused data systems.
Building CareerOS for resumes, job search, mock interviews, learning roadmaps, and career execution.
Brings product analytics and business KPI experience into data-career mentoring.
LinkedIn 86K (Durgesh) + 66K (Pragya), WhatsApp 75K, Telegram 32K, Instagram 10K, YouTube 7.7K — every channel is linked from the footer.
Learners in the PrepNPlaced WhatsApp (75K) and Telegram (32K) learning communities.
Co-taught by two Top-1% Topmate mentors — 4.4/5 combined across 1,200+ ratings and 850+ testimonials, with 9,200+ bookings and 20+ creator badges including Top 0.1%, Top Expert (Data), and Topmate Go-To Experts.
Topmate Verified
Independently verifiable on the public Topmate profiles — real ratings, testimonials, bookings, and creator badges across data-career mentorship.
4.4/5
Combined Topmate rating
1,200+
Topmate ratings
850+
Testimonials
9,200+
Bookings on Topmate
40,000+
Professional connections
Durgesh on Topmate
4.3/5 from 503 ratings and 339 testimonials. Top 0.1% creator, Top Expert (Data), and listed in Topmate Go-To Experts. Open the live profile to verify.
Pragya Rathi — Cohort Co-Instructor
4.5/5 from 697 ratings and 518 testimonials. A Top-1% Topmate mentor listed in Topmate Top 100 Women in Data. Co-teaches the data cohort.
NY Times Square · Topmate #BeAvailable
Featured on a Times Square billboard in New York through Topmate's #BeAvailable creator program (2024) — a leaderboard-driven recognition for top creators.
Free Learning
Hands-on playlists used by thousands of learners — SQL, Python, Excel, and data engineering, taught the same practical way as the cohort.
Real interview-style SQL problems solved step by step.
Practical Excel skills for data analyst roles.
Crack product-company SQL interview rounds.
Pipelines, big data, and data engineering foundations.
Python fundamentals for analytics and engineering.
About
Durgesh Yadav is a data professional, founder, mentor, and product builder focused on helping learners enter and grow in data careers with practical proof. He is the Founder of PrepNPlaced and works as a Senior Data Engineer at 7-Eleven. His background includes Target experience, analytics work, data engineering systems, and hands-on mentoring across SQL, Python, Power BI, PySpark, Databricks, Snowflake, dbt, data pipelines, dashboards, and interview preparation.
Through PrepNPlaced, Durgesh is building a connected CareerOS where learners can prepare resumes, understand role gaps, practice mock interviews, follow structured roadmaps, and convert learning into interview-ready evidence.
His teaching style is practical: learn the concept, build the project, explain the tradeoffs, prepare the resume proof, and practice the interview story.
This page connects Durgesh's founder profile with his public learning content, GitHub projects, YouTube lessons, mentorship proof, and learner outcomes so students and recruiters can verify the person behind PrepNPlaced.
CareerOS Mission
Most learners do not fail because they lack motivation. They fail because their preparation is scattered across too many tabs: one place for courses, another for resumes, another for jobs, another for mock interviews, and another for roadmaps.
Learn
Build Projects
Create Resume Proof
Practice Interviews
Apply Smartly
Improve with Feedback
CareerOS connects learning, resume proof, job search, role-fit analysis, mock interviews, interview feedback, and offer preparation into one structured workflow. The goal is not only to help learners watch more videos, but to help them build evidence that can survive real interviews.
What Durgesh Teaches
Durgesh's mentorship spans analyst, analytics engineering, and data engineering tracks with a practical bias toward visible proof and interview readiness.
Data Engineering Mentor
The mentoring focus is not only tool coverage. Learners are expected to connect each tool with a project, a resume bullet, an interview explanation, and a tradeoff they can defend.
Durgesh connects PySpark, Databricks, Snowflake, dbt, Kafka, Airflow, lakehouse layers, data quality, and pipeline reliability to interview-ready project stories.
Pipeline design and debugging
Medallion architecture and data quality
PySpark, Databricks, Snowflake, dbt, and orchestration
For analysts, the focus is SQL, Power BI, Excel, Python, dashboards, business metrics, and stakeholder communication so the learner can explain decisions, not only tools.
SQL and metric definitions
Dashboard storytelling
Stakeholder and business-case explanation
The mentoring style ties learning to resume proof, mock interviews, role targeting, and job-search execution. Learners are pushed to show what they built and explain why it matters.
Resume and ATS readiness
Project deep-dive preparation
Role-specific mock interview practice
GitHub Proof
Durgesh's public GitHub projects demonstrate end-to-end analytics and data engineering workflows: ingestion, cleaning, SQL analysis, dashboards, Kafka streaming, lakehouse layers, Snowflake, dbt, data quality, orchestration, and interview-ready documentation.
End-to-end retail analytics project using public Online Retail data. Covers data download, cleaning, EDA, SQL analysis, revenue insights, product/country/customer analysis, cancellation risk, and an interactive Streamlit dashboard.
What this proves
Business analytics
Python EDA
SQL analysis
Dashboarding
Portfolio storytelling
Use this project for interviews.
Real-time fraud detection lakehouse project that simulates fintech transactions, streams events, processes Bronze/Silver/Gold layers, applies explainable fraud rules, quarantines bad records, and serves analyst-ready dashboards.
What this proves
Streaming architecture
Kafka event design
Medallion architecture
Data quality
Explainable scoring
Use this project for interviews.
Production-style e-commerce lakehouse platform with real-time operational events, object storage landing, Bronze/Silver/Gold layers, reusable data quality checks, Airflow orchestration, Databricks job structure, Terraform templates, and executive dashboards.
What this proves
End-to-end platform design
Event streaming
Orchestration
Cloud migration thinking
Observability
Use this project for interviews.
Public analytics engineering project that loads Inside Airbnb data into Snowflake, transforms it with dbt, validates quality with tests, documents models, and powers a Streamlit reporting dashboard.
What this proves
Snowflake ingestion
dbt staging/intermediate/mart layers
data tests
analytics marts
dashboard integration
Use this project for interviews.
End-to-end mobility analytics project using NYC Taxi data with Python EDA, SQL analysis, cleaning, feature engineering, and Streamlit dashboards over millions of cleaned taxi trips.
What this proves
large public dataset handling
trip/revenue/route analytics
SQL business questions
dashboard storytelling
interview-ready explanation
Use this project for interviews.
YouTube Learning Wall
Durgesh shares free lessons, career talks, SQL/Python preparation, project guidance, and practical data-career content through the PrepNPlaced YouTube channel.
SQL preparation for product-based and data roles.
Open on YouTubeDurgesh's career-switch story and product-based role preparation insights.
Open on YouTubeDurgesh's journey to cracking top product-based companies after not getting placed in college.
Open on YouTubeA beginner-friendly explainer on what cloud computing is and why it matters for data careers.
Open on YouTubeHow to convert non-tech experience into a tech and data career.
Open on YouTubeMentorship Proof
Durgesh's Topmate profile provides third-party mentorship proof through ratings, testimonials, 1:1 sessions, digital products, and learner feedback.
Mentorship, products, testimonials, and learner feedback.
“Helped me understand my resume and approach the job market more wisely.”
George
5-star mentorship
Course and mentorship proof already visible on PrepNPlaced
“Detailed, practical guidance with mock practice and STAR method direction.”
Pragati Sangal
Practical interview support
Course and mentorship proof already visible on PrepNPlaced
“The teaching style and roadmap help beginners grow with clearer direction.”
Mosaddik Hussain
1:1 mentorship
Course and mentorship proof already visible on PrepNPlaced
Learner Outcomes
PrepNPlaced showcases real career transitions from non-tech, operations, support, mechanical, EduTech, and service-company backgrounds into data roles.

Deloitte
Operations & Accounts to Data Analyst
100% hike

Infor
Mechanical Field to Data Analyst
120% hike

7-Eleven
Zero Experience + Career Gap to Data Engineer
500% hike

Target
EduTech Domain to Data Analyst
70%+ hike

Physics Wallah
Beauty Brand to Data Analyst
120%+ hike

People INC.
Service-Based Company to Data Analyst
110%+ hike

Deloitte
Support Role to Data Analyst
70%+ hike

Target
PwC to Senior Data Analyst
100%+ hike

Wells Fargo
Ericsson to Data Analyst
60%+ hike
Outcomes vary by learner effort, background, market, and role fit.
Founder-Led Learning
Durgesh leads practical learning across analytics engineering, SQL, Python, PySpark, Power BI, projects, and interview readiness. PrepNPlaced courses are designed to help learners convert concepts into resume proof, project stories, and interview-ready explanations.
SQL, Python, PySpark, Databricks, pipelines, projects, interview prep
Open pathdata analytics, SQL, Python, Power BI, data engineering
Open pathanalyst, engineer, analytics engineer, SQL, Python, PySpark, Power BI
Open pathresume, jobs, mock interviews, roadmaps, offer preparation
Open pathHow Learners Can Start
A learner should not start from every resource at once. Beginners can begin with free learning, serious cohort learners can use the course, and job-ready candidates can move directly into CareerOS workflows.
Use Open Learning for SQL, Python, Power BI, PySpark, analytics, and data engineering fundamentals.
Open pathMove through the Analytics Engineering Cohort with modules, capstones, assignments, and interview preparation.
Open pathConnect resume scoring, Resume AI, job search, learning roadmaps, and AI mock interviews around one target role.
Open pathExplore resume, ATS, job-search, mock-interview, roadmap, and data-career hubs before choosing a path.
Open pathOriginal Guides
Continue learning from Durgesh and PrepNPlaced through role-focused guides, interview questions, and preparation hubs.
SQL Interview Questions for Data Analyst and Data Engineer Roles
PySpark Interview Questions for Data Engineers
Data Analyst and Data Engineering Career Roadmaps
Resume and ATS Guides for Data Roles
Mock Interview Guides for Data Analyst and Data Engineering Roles
Job Search Guides for Data Professionals
Founder Philosophy
Durgesh's mentoring approach is built around one idea: learning should create visible proof. A learner should not only say “I know SQL” or “I know PySpark.” They should be able to show a project, explain the data model, defend tradeoffs, answer interview questions, and connect the work to a business problem.
“Concepts alone do not change careers. Proof, projects, interviews, and consistent execution do.”
- Durgesh Yadav
practical roadmaps
real datasets
project-based learning
resume proof
mock interview practice
job-search execution
FAQ
Common questions learners search before following Durgesh, joining PrepNPlaced, or choosing a data-career mentor.
Durgesh Yadav is the Founder of PrepNPlaced, a Senior Data Engineer at 7-Eleven, Ex-Target, and a mentor for learners preparing for Data Analyst, Analytics Engineer, and Data Engineering roles.
Yes. Durgesh Yadav is the Founder of PrepNPlaced, where he leads founder-led learning, CareerOS direction, and practical career preparation for data and analytics learners.
Durgesh teaches SQL, Python, Power BI, Excel, PySpark, Databricks, data pipelines, analytics engineering, resume preparation, mock interviews, and job-search strategy for data roles.
Durgesh mentors across both tracks. For Data Analyst learners, he focuses on SQL, Python, Power BI, dashboards, business metrics, projects, and interviews. For Data Engineering learners, he focuses on PySpark, Databricks, Snowflake, dbt, Kafka, Airflow, lakehouse architecture, and data pipelines.
PrepNPlaced is built for practical data-career preparation. Learners can use courses, open learning, resume tools, mock interviews, roadmaps, and job-search workflows to prepare for Data Analyst and related roles.
Learners searching for a practical Data Analyst mentor in India can follow Durgesh Yadav because his content and mentorship focus on SQL, Python, Power BI, projects, resume proof, and interview readiness.
Durgesh Yadav is a relevant Data Engineering mentor to follow because he works as a Senior Data Engineer and publishes practical guidance around PySpark, data pipelines, lakehouse projects, analytics engineering, and interview preparation.
You can watch free lessons and playlists on the PrepNPlaced YouTube channel: https://www.youtube.com/@prepnplaced
You can see Durgesh's public data analytics and data engineering projects on GitHub: https://github.com/analyticsdurgesh
You can connect with Durgesh on LinkedIn, YouTube, GitHub, Topmate, X, Instagram, Facebook, and Favikon through the official profile links on this page.
Next Step
Start with structured learning, build project proof, improve your resume, practice interviews, and prepare for data roles through PrepNPlaced CareerOS and founder-led resources.