Data Engineering End to End Project - 27 | GitHub, CI/CD Pop Clone, Branch deployment

💡 How to deal with GitHub, CI/CD Pop Clone, Branch deployment, Data Engineering End to End Project? 💡 What are the different steps involved in the Project Step by Step? ➡️ Code Link: https://sachinsaxena.graphy.com/courses/Databricks-Certified-Machine-Learning-Engineer-Registration-6857eebed35744174b664de1 ➡️ Basic Databricks - Master Azure Databricks for Data Engineers: https://youtube.com/playlist?list=PLmhdUvQQZFDnvKnPr2duoGyL21PjaQLW9&si=u0XI5d9vhqi4XcxL ➡️ Generative AI Basics to Advance: Install Anaconda 2025 for GenAI Hands-on : https://youtu.be/zt1nGGYXeEk?si=8yhDBUg5Twg3hcYU ✅ This Databricks explored the growing demand for Machine Learning roles across product-based companies like Prada Group, AT&T, Virgin Australia, Burberry, Michelin, Santander, Siemens, Toyota Motor Corporation, Warner Bros. Discovery Walgreens etc, and found that expertise in tools like Databricks AutoML, MLflow, Feature Store, and the Databricks Machine Learning environment—including clusters, Jobs, Repos, and Runtime for ML—is increasingly valued for building scalable ML solutions and managing the end-to-end ML lifecycle. 🎯 Azure Data Factory 🎯 Azure Databricks with PySpark 🎯 Azure SQL Server 🎯 Azure Data Lake 🎯 Azure Cloud  🎯 GenAI 🎯 Azure AI Foundary 🎯 Azure OpenAI 🎯 Azure DevOps ✅ Master in-demand tools, ✅ Unleash your data-driven creativity and elevate your AI expertise with cutting-edge Generative AI 00:00 – Introduction / Video overview ~01:00 – Title slide or agenda ~05:00 – Project context and goals ~10:00 – Overview of GitHub repository ~15:00 – Walkthrough of CI/CD pipeline setup ~20:00 – Cloning the project and running locally ~25:00 – Demonstrating tests or build stages ~30:00 – What you’d change in the project if given a chance ~35:00 – Best practices or troubleshooting tips ~40:00+ – Closing remarks and next steps ✅ Work on real-world projects so you can apply concepts and see tangible results ✅ Interactive live sessions & expert Q&A — practical insights, no unnecessary fluff ✅ Career-boosting tools and resources you won’t get in any single program ✅ A supportive learning community that grows and succeeds together 📈 *Career Prospects:* 💰 *Average CTC for an Azure Data Engineer:* 16 LPA 🏆 *Highest CTC:* 43 LPA ➡️ Daywise Syllabus: https://docs.google.com/document/d/1N0p0AFR0zH4lg2VZTgp73LmlKZ2MAV45SYI4KzLcwLY/edit?usp=sharing ➡️ Instructor Profile: https://www.linkedin.com/in/sachin-saxena-graphic-designer/ ➡️ Registration Link: https://forms.gle/5VxqwnMLuqdoJwKb9 ➡️ GitHub Link: https://github.com/sachin365123 ➡️ Demo Link: https://sachinsaxena.graphy.com/courses/Data-Engineering--676d508b2eee327ebbe53b2b ➡️ Job Assistance WhatsApp Group link: https://chat.whatsapp.com/CrFEmndkTJ2LLzuhxDu054 💎 Azure Data Engineering: Hands-on project with Unity Catalog, Delta Lake, Medallion Architecture: https://sachinsaxena.graphy.com/courses/Data-Engineering--676d508b2eee327ebbe53b2b 💎 : Master Data Science with Generative AI: https://sachinsaxena.graphy.com/courses/DeepSeek%20Basics%20to%20Advance-67a0386a71f5fc014faec684 💡 YouTube Playlists: 🌟 Azure Data Factory: https://www.youtube.com/playlist?list=PLmhdUvQQZFDl2zB104P46OJRfH3zBlhYr 🌟 Azure Databricks: https://www.youtube.com/playlist?list=PLmhdUvQQZFDnvKnPr2duoGyL21PjaQLW9 💡 Professional & Industry-Oriented Azure Data & AI Engineering Mastery End-to-End Azure Data Engineering with AI Azure Cloud, Data, and AI Bootcamp Full-Stack Azure Data & AI Engineer Azure AI-Driven Data Engineering Cloud to Insights: Azure Data & AI Azure Data + GenAI Masterclass Cohort 2025: Azure Data & AI Engineering Batch 1 – Azure Data & AI Professional Track Azure Data & AI Expert Cohort AI Engineering is a multidisciplinary field covering: AI principles and practical applications Big Data and programming languages Natural Language Processing using AI Large Language Models and Transformers Developing apps with orchestration tools like LangChain Who this course is for: ✅ Anyone interested in becoming a proficient user of AI ✅ Anyone interested in becoming the coolest Big Data ninja ever! ✅ Anyone interested in DevOps, Big Data, Artificial Intelligence, Machine Learning or Deep Learning ✅ Professional & Industry-Oriented job seekers ✅ Curiosity to learn and explore AI-powered coding What you'll learn: Building organized and effective AI tools Managing and analyzing large data sets with ease Understand key Artificial Intelligence concepts and build a solid foundation Leverage LangChain for seamless development of AI-driven applications Understand the theory behind Artificial Intelligence Deploy & manage Big Data solutions on Azure Work on real-world projects so you can apply concepts and see tangible results AI projects through Interactive live sessions & expert Q&A — practical insights, no unnecessary fluff Career-boosting tools and resources you won’t get in any single program A supportive learning community that grows and succeeds together