From Mechanical Engineering to Senior Data Engineer 🚀 I started my career in Mechanical Engineering and transitioned into Data & Analytics through continuous learning, hands-on projects, and a lot of trial and error. My journey took me from Mechanical Engineering → Data Analyst → Data Engineer → Senior Data Engineer, and today I work at Eaton in data engineering and analytics. I know how confusing it can be to make a career transition, especially when you're coming from a non-CS/non-IT background, trying to understand what skills to learn, how to build a resume, how to prepare for interviews, and which direction to take in the rapidly evolving Data & AI industry. That's why I want to help others who are at a similar stage. How I Can Help 🎯 Quick 1:1 Career Guidance * Discuss your current situation and career goals * Identify possible career paths * Help you create a practical next-step roadmap 📄 Resume Review * Resume structure and positioning * Project and experience optimization * ATS-friendly improvements * How to showcase your Data/Analytics skills effectively 💼 LinkedIn Profile Review * Improve your LinkedIn positioning * Profile headline & About section * Experience and project presentation * How to make your profile more recruiter-friendly 🔄 Career Transition Guidance * Non-IT → Data Analytics * Data Analyst → Data Engineer * Analytics → Data Engineering * How to transition without starting completely from scratch 🛠️ Data Career Roadmap * SQL * Python * Power BI * Cloud * Snowflake * Data Engineering * Analytics & AI 🤖 Navigating the AI + Data Era * What skills are becoming important * How AI is changing Data/Analytics roles * What to learn next * How to combine Data Engineering, Analytics, and AI skills 🎤 Interview Preparation * SQL & Python interview preparation * Data Engineering concepts * Scenario-based questions * Resume/project-based interview questions * How to explain your projects and experience confidently My Approach: I don't believe in giving everyone the same roadmap. Your background, experience, goals, and available time matter. My goal is to help you understand where you are, where you can go, what skills you actually need, and what you should focus on next—without wasting time learning everything at once. If you're confused about your next career move or trying to break into the Data & AI field, let's talk. Your background doesn't have to define your future. Your willingness to learn and adapt can change your career. 🚀