119 digital products for Software engineering

I have compiled everything here, covering cloud platforms (AWS, Azure, GCP), Company-wise interview questions, Python, SQL, DSA, Kafka, and Airflow. This document will be useful at the final stage, once you are already prepared. Do not try to pick questions from here and prepare from scratch, as that will waste most of your time. Instead, prepare the concepts first, then use this question list to review and create your own version of the answers. I have not added any projects because all the available ones are dummy. Better follow videos from Ansh Lamba, Darshil Parmar, My channel or any video form contents.

Full Stack Azure Data Engineering 2026-27 Service Description — designed both for enterprise IT/Cloud teams and for data engineers building modern Azure data platforms. This covers services, capabilities, architecture patterns, security & governance, pipelines, real-time processing, analytics integration, and operational practices expected in the 2026-27 Azure ecosystem.

Retail Billing Software built using React (Frontend) and Spring Boot (Backend). -- Watch the below video to setup the project in your computer https://youtu.be/dfJF85H5yXw -- -- -- -- -- -- -- This project was developed for a real-world retail client and includes all essential billing features such as: ✅ Category & Product Management ✅ File Upload (Image) Support ✅ REST APIs with Spring Boot ✅ Image Handling from File System ✅ Dynamic UI built with React + Bootstrap ✅ Real-time UI Updates ✅ Search and Delete Features ✅ Responsive Design 🔧 Technologies Used: - Frontend: React.js, Bootstrap 5, Axios - Backend: Spring Boot, JPA, MySQL - Build Tools: Maven - File Storage: Local Filesystem 🌐 Perfect for: - Freelancers building client projects - Students learning Full-Stack Development - Developers practicing image upload & serve via REST API

Step up your Data Engineering career with a structured, scenario-driven preparation guide for Principal and Architect-level roles. This complete digital package is designed to help you tackle interviews at top FAANG and non-FAANG product-based companies. What’s included: 50+ curated interview questions: 20 FAANG-specific, 20 Non-FAANG, plus commonly asked questions across companies. Round-wise format: Organized according to typical interview stages, including system design, data architecture, SQL & analytics, leadership & strategy rounds. Focused topics & preparation guidance: Each question highlights the key areas to focus on, helping you streamline your preparation. Scenario-based questions: Real-world situations designed to mimic actual Principal/Architect interviews, giving you a practical sense of what to expect. ⚠️ Note: This guide contains questions only, no answers. It’s crafted to help you revise, practice, and evaluate your readiness before stepping into an interview. Prepare strategically, think like an interviewer, and confidently approach Principal and Architect-level Data Engineering interviews.

Write Smarter · Create Faster · Unlock AI Power 🗣️“Finally—a prompt book that speaks to beginners and pros alike. A true game‑changer.” 📘Overview The Ultimate AI Prompt Engineering Handbook is your go-to reference guide for mastering prompt creation in tools like ChatGPT. Designed for beginners and professionals alike, this book provides practical, categorized prompts and expert-crafted strategies to help you automate workflows, generate content, boost productivity, and unlock creative potential. 📂Table of Contents Introduction Advertising & Marketing Prompts Content Creation & Copywriting Prompts Creative Writing & Storytelling Prompts Business & E-commerce Prompts Productivity & Time Management Prompts Learning & Teaching Prompts Career & Job Seeking Prompts Personal Growth & Wellness Prompts Coding & Data Science Prompts Graphic Design & Visual Content Prompts Advanced Prompt Engineering Techniques Conclusion 👥Who This Is For This handbook is designed for anyone who wants to work smarter with AI. Whether you're a: ✍️Writer – Write SEO blogs, creative stories, ad copy instantly 👨‍💻Developer – Generate code, debug, scrape data, build ML models 👩‍🏫Educator/Student – Create quizzes, notes, summaries, and study plans 💼Entrepreneur – Write business plans, product descriptions, and strategies 🎨Designer – Create logo concepts, color palettes, layout suggestions 📌This handbook will transform how you think, create, and collaborate with AI. 💡Final Thoughts Whether you're automating business processes, boosting creativity, or simply curious about the future of AI - this handbook is your key to smart prompting.Practice, iterate, and improve.

Step into your next Data Engineering Manager interview with confidence! This all-in-one digital guide is specifically designed for aspiring and current managers targeting both FAANG and non-FAANG product-based companies. It equips you with the structure, topics, and scenarios to approach interviews strategically. What’s included: 50+ curated interview questions: 20 FAANG-specific, 20 Non-FAANG, plus commonly asked managerial and technical questions. Round-wise structure: Organized by typical interview stages, including technical leadership, system design, team management, SQL & analytics, and behavioral rounds. Focused topics & preparation guide: Each question highlights key areas to focus on, helping you streamline your preparation. Scenario-based questions: Realistic situations and problem statements designed to mimic actual interviews, giving you a practical flavor of what to expect. ⚠️ Note: This guide contains questions only, no answers. Its purpose is to help you revise, practice, and evaluate if you are interview-ready. Prepare smartly, understand the expectations of top-tier companies, and approach your Data Engineering Manager interviews with clarity and confidence.

This bundle is packed with essential resources covering: 🛠️ Data Engineering Fundamentals – ETL, data pipelines, and best practices 🔥 Apache Spark – Distributed computing, RDDs, DataFrames, optimizations 🐍 Databricks – Collaborative data workflows, ML integration 🐳 Docker – Containerization, microservices, and deployment 📦 Kubernetes – Orchestration, scaling, and automation 🐘 Hadoop – HDFS, MapReduce, and ecosystem tools 🐍 Scala – Functional programming for big data applications ❄ Snowflake – Cloud data warehousing, architecture, and query optimization 🛢️ SQL – Querying, indexing, and database optimization 💬 Kafka – Event-driven architecture, real-time streaming 📄 Cheat Sheets & Quick References included! Perfect for aspiring & experienced data engineers! 🚀

his MPSC MES Civil Engineering Complete Guide is a one-stop strategic handbook designed for aspirants targeting Group-A (AEE) and Group-B (AE) posts through the Maharashtra Engineering Services (MES) examination. Prepared by Mentor Sagar Gangurde (GATE AIR 39), this guide gives you absolute clarity about the exam, eliminates confusion, and helps you prepare with direction, structure, and confidence. 📘 What This Guide Covers ✅ Complete understanding of MPSC MES Exam What is MES & why it is Maharashtra’s most prestigious technical exam Departments, job roles & career growth ✅ Group-A vs Group-B clarity Responsibilities, authority, promotion & pay comparison ✅ Eligibility & Selection Process Age limits, category relaxation Prelims → Mains → Interview explained simply ✅ Detailed & Updated Syllabus Prelims Paper I & II (GS + CSAT) Mains Civil Engineering Paper I & II Subject-wise breakup for focused preparation ✅ Previous Year Papers of Prelims & Mains ✅ Smart Preparation Strategy Separate approach for: Beginners Repeaters Working professionals ✅ Time-bound Study Plans 12-month plan 6-month high-yield strategy ✅ Common Mistakes to Avoid Based on real aspirant failures & exam trends ✅ Career After Selection Job profile Posting nature (field vs office) Promotion hierarchy up to Chief Engineer Salary, benefits & job security ✅ Self-Study vs Coaching Truth How to combine self-study with mentorship for best results 🎯 Who Should Buy This Guide? ✔ Civil Engineering students ✔ MPSC MES beginners ✔ Repeaters needing structure ✔ Working professionals with limited time ✔ Aspirants confused about syllabus & strategy ⭐ Why This Guide is Different No unnecessary theory 100% exam-oriented Clear, practical & realistic Written by someone who cracked GATE with AIR 39 and mentors serious aspirants 💡 Final Message MPSC MES is not just an exam — it’s a lifetime career of respect, stability, and authority. This guide will give you the clarity and direction needed to start (or restart) your MES journey the right way. Strong basics + PYQs + consistency = MES Selection

✅ What You’ll Build & Learn 1. GCP Data Engineering Pipeline (Dataproc Use Case) Dataproc Cluster Setup & PySpark Job Execution Apache Spark for Distributed Data Processing Google Cloud Storage Integration (input/output) Step-by-step walkthroughs with live screenshots Role-specific interview questions aligned with GCP use cases 2. Airflow Pipeline Project (with Docker) Deploy Airflow locally using Docker Build, schedule, and monitor DAGs end-to-end Learn orchestration, dependency management, and failure handling Resume-ready project, cloud-ready design, and fast to set up 🎯 Why This Product Stands Out Portfolio-Ready: Showcase two real-world projects on your resume. Interview-Focused: Practice with questions that tie directly to the pipelines you’ll build. Hands-On Learning: Follow annotated screenshots, explanations, and working code. Beginner-Friendly, Yet Advanced: Start with Docker-based Airflow, then scale up with GCP Data Engineering. 💡 Even if you don’t finish the full pipelines, you’ll still gain project insights, architectural knowledge, and interview talking points — enough to confidently crack interviews and stand out as a job-ready Data Engineer.

Launch Your Full Stack Developer Career at Just ₹99! Why spend thousands when you can start smart? 🎯 Introducing: "The Complete Full Stack Development Course + 25,000 HR Contacts" Your fast-track bundle to break into Full Stack Development... Here's everything you need — in one bundle: 📘 DSA Roadmap (70 Days) 📘 Numpy for Data Roles (15 Days Crash Course) 📘 Master ML Concepts & 50+ Projects 📘 Power BI Mastery + Interview Prep 📘 ChatGPT Prompts for Job Search 📘 Full Stack WEB Development Course with Thousands of HR Emails 📘 Complete Statistics (15 days) 📘 Complete Pandas (15 days) 📘 LEETCODE Python Solutions (15 days) 📘 Complete Matplotlib (20 days) 📘 Machine Learning with Python Book 🎯 Learn. Build. Get Hired — without burning your wallet. 💸 All this for just ₹89! (Yes, not even the price of a coffee!) 📌 Ethically sourced. No resell. No refunds. 🔥 Kickstart your developer journey today!

Unlock AI’s full potential by learning to: Design clear, context-rich prompts for ChatGPT, Bard, and Claude Define tasks and constraints that yield precise, actionable outputs Employ advanced methods like prompt chaining, role personas, and multi-turn dialogues Debug, refine, and iterate prompts to enhance response quality Leverage ready-to-use templates and expert tips within your PM workflow Perfect for PMs building AI features or streamlining team productivity. Elevate your AI communication skills and drive measurable ROI in your products.

Microsoft Fabric Training Course – OneLake | Lakehouse | Warehouse (End-to-End Real-Time Project) This Microsoft Fabric training course is designed to give you complete end-to-end exposure of a real-time industry project, focusing on architecture, data flow, and system design, without diving into streaming concepts. You will learn how modern data platforms are structured in real-world environments using Microsoft Fabric, covering everything from raw data ingestion to analytics-ready layers. 🔹 What you’ll learn: Microsoft Fabric overall architecture & components OneLake – centralized data platform and organization strategy Lakehouse implementation using Medallion Architecture (Bronze, Silver, Gold) End-to-end real-time project structure used in enterprise systems How data flows across layers in real scenarios Data ingestion using Data Pipelines & Dataflows Gen2 Data transformation using Notebooks (PySpark & SQL) Microsoft Fabric Warehouse – loading & querying How real-time systems are designed, managed, and monitored 🔹 Why this course? Real-world end-to-end project exposure Focus on architecture, structure & best practices No low-level complexity — clear and practical explanation Ideal for professionals moving from ADF / Synapse / Databricks to Fabric Strong focus on interview-oriented and production-ready knowledge 🔹 Who should join? Data Engineers & Analytics Engineers Azure / Synapse / Databricks professionals BI professionals transitioning to Microsoft Fabric Anyone who wants to understand how real-time projects are structured in Fabric 🔥 By the end of this course, you’ll clearly understand how enterprise real-time projects are designed and implemented using Microsoft Fabric, from OneLake to Lakehouse to Warehouse. Note: Batch Start Date: 28 September 2026 Secure your seat at the earliest — limited spots available. Once you complete your registration, please ping me on WhatsApp (+918879994576). I will personally add you to the exclusive paid group, where you will receive: ✅ All session updates ✅ Class recordings ✅ Important announcements ✅ Learning materials & resources ✅ Complete program information Let’s get started and build real, job-ready skills together. 🔥

On Demand Softwares WA Sender - Send Bulk Messages, Extract group member, Bulk Join Etc., WA CRM - Automatic replies, Chat filter, Schedule MSGs etc., Social Mail and phone extractors - Extractor contacts/leads from Social Media G-Business extrator - Extract Location wise data from Google And many • Access 40+ carefully selected, high-demand digital products ready for immediate resale. • Save time and money on development and product sourcing with our all-in-one package at Just Rs 399/-

I created a WhatsApp group where I share job openings I receive from my network and recruiters so you can apply for them. If you want to join this group, please click on the access button of this service

This book covers E2E use cases for ETL pipline using Azure Services

After facing multiple interviews and gathering insights from my network. Your ultimate guide to cracking interviews at top 𝗯𝗮𝘀𝗲𝗱 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀! 💡 𝗪𝗵𝗮𝘁’𝘀 𝗜𝗻𝘀𝗶𝗱𝗲? ✔️ Real interview questions from top firms ✔️ Covers 𝗣𝘆𝗦𝗽𝗮𝗿𝗸, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗦𝗤𝗟, 𝗚𝗖𝗣, and 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼-𝗯𝗮𝘀𝗲𝗱 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 ✔️ A curated collection to help you land your dream job ✔️ These questions are the most recently asked and 100% authentic, not sourced from any website or LinkedIn post. 🏆 Includes questions from leading companies like 𝗗𝗲𝘂𝘁𝘀𝗰𝗵𝗲 𝗕𝗮𝗻𝗸, 𝗤𝘂𝗮𝗻𝘁𝗶𝗽𝗵𝗶, 𝗧𝗖𝗦, Fractal and 𝗺𝗮𝗻𝘆 𝗺𝗼𝗿𝗲! 🔥 𝗚𝗹𝗼𝗯𝗮𝗹 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗯𝗮𝗻𝗸𝘀, 𝘁𝗼𝗽 𝘁𝗲𝗰𝗵 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝗰𝗶𝗲𝘀, and fast-growing AI/analytics firms 🔥 💡 If you're targeting 𝗵𝗶𝗴𝗵-𝗴𝗿𝗼𝘄𝘁𝗵 𝘁𝗲𝗰𝗵 𝗳𝗶𝗿𝗺𝘀, this is the most authentic resource to boost your preparation and ace 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀!

In this ebook you will get all information like paper pattern, syllabus, posting, salary structure, etc of GATE, UPSC-ESE, MPSC-MES, SSC JE exams in single pdf. This will help you in your preparation as all the data is at one place !

If you're a job seeker, This well structured document will help you to know and learn all the real time Interview questions with their exact answer. Lot of folks who are having 0-3+ years of experience have cracked the interview using this guide. so you will be able to crack the interview in easy way ! NOTE: -Most data aspirants hoard resources without actually opening them even once! The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it. Hope this helps in your job search journey... All the best!👍✌️

SQL for Data Science, Data Analysis, Data Engineering are included. This document contains free resources which will enable you the following: Learn SQL, Practice queries Projects Certificate SQL (free) Interview Practice Doubts Clearance You will also have a chance to get other SQL resources I prepare for free including How to write efficient SQL queries, project-solutions explained in a way good for understanding and how to describe the project in an interview.

CS Talks is a newsletter which is spreading awareness about about Software engineering insights, status quos, life experiences, technology trends, career advice. What you can expect: Articles about Software Engineering Ecosystem Talk about some status quos Share some life experiences from corporate and personal world Career Related Tips