I am a Data Engineer at Fractal AI with experience in building scalable data pipelines and modern data platforms on the cloud. Over the course of my journey, I have been fortunate to crack multiple offers at PWC, Accenture, Capgemini, Veraxion & Fractal AI in Data Engineering, and this experience helped me understand what companies truly look for in data professionals. My expertise lies in technologies such as Azure Databricks, Azure Data Factory, Apache Spark, Delta Lake, SQL, and Python, where I work on designing efficient ETL pipelines, optimizing data workflows, and building reliable data architectures. I strongly believe that Data Engineering is the foundation for AI and advanced analytics. Without well-structured, reliable, and scalable data systems, even the best AI models cannot deliver value. Because of this belief, I actively try to help the community transition into Data Engineering roles, especially professionals who want to move from other domains into the data ecosystem. Through my past experiences, I aim to help people: • Understand what skills are actually required to become a Data Engineer • Prepare for real interview questions and industry expectations • Learn practical project-based approaches to data engineering • Build the right mindset and roadmap for long-term growth If you're looking to switch into Data Engineering, prepare for interviews, or understand how to build a strong career in the data space, I would be happy to share my learnings and help you accelerate your journey. Note: The earnings received through mentorship sessions on Topmate will be used to support orphanage students at Vijaymala Anath Ashram, Ishwarpur- Maharashtra. The funds will be dedicated towards helping them with educational needs such as books, school supplies, and other essential learning resources.