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In this episode, we’re joined by Harikesh Tyagi, a skilled and inspirational data engineer with 4 years of experience in Azure data engineering, transformation, and migration. From mastering PySpark and Python to mentoring aspiring professionals, Harikesh’s journey is a testament to the power of resilience and skill development. Discover how Harikesh transitioned from testing to data engineering, achieving a remarkable 200% salary hike in the process. We’ll dive into topics such as: 🛠️ Roadmap for Aspiring Data Engineers 🖥️ Essential Tools for Data Engineering 📊 Highlights from His Exciting Projects 💰 Salary Expectations in the Data Engineering Field 🎯 Practical Tips to Kickstart Your Career in Data Engineering Whether you're an aspiring data engineer or a tech enthusiast, this episode is packed with insights to inspire your career journey. Tune in and level up your data game! 🌟 Connect with Harikesh on lInkedin: / harikesh-tyagi-026296131 Power BI Interview Playlist : • Power BI Interview Questions Buy Top 50 SQL Interview Questions Guide : https://topmate.io/rajat_jain01/1330690 Need 1 to 1 Mentorship Connect with me : https://topmate.io/rajat_jain01/1351492 ✨ Bonus Tip: Follow me on LinkedIn (Rajat Jain) : / rajatjain01 for regular updates on interview questions and professional tips! 💬 Got Questions? Drop your doubts or topics you'd like covered in the comments below, and I’ll address them in upcoming videos. 🚀 🔔 Subscribe Now: Hit the Like button 👍 and Subscribe 🔔 for more videos on Power BI, SQL, and interview preparation tips. Download free PDF From Here: https://topmate.io/rajat_jain01 #dataanalytics #dataengineer #datascience data engineering, data analyst ,data science,data scientist,microsoft data scientist,microsoft data science interview,data science roadmap 2025,krish naik,data science interview,data science for beginners,nishant chahar,data science jobs,google data scientist,data analyst,data analyst roadmap,data analyst jobs,data analyst interview,data engineer,data analyst salary,how to become data analyst in 2025,google data analyst,non tech to data science