Real talk: I'm not a career coach. I'm figuring this out too. I'm Sumanth, 5 months into my first data engineering role after spending 6 years as a civil engineer. If you're stuck in a non-tech field trying to break into data, I've been exactly where you are. My Journey: Civil Engineer (2018-2024) → Discovered data through Excel MS in Data Science & AI from IISER Tirupati (9.5/10 CGPA) Aug 2024: Graduated, started job hunting Jan 2025: Landed ₹6L Associate Data Engineer role at GetMySaas Currently: Own entire data infrastructure (solo data engineer) - Airflow, Kafka, dbt, AWS, Databricks What I Actually Know: ✅ Breaking into data from non-CS background (I did it in 12 months) ✅ MS applications for data science programs (IISER experience) ✅ Building consistency (1100+ day Duolingo streak, 593 days Brilliant, 120+ days LeetCode) ✅ Entry-level data engineering tech stack (learning Airflow, Kafka, dbt in production) ✅ Civil → Data transition story (how to frame it in interviews) What I DON'T Know (Yet): ❌ Senior system design (I'm learning on the job) ❌ Big tech interviews (haven't done them) ❌ Advanced ML engineering (still building fundamentals) ❌ How to get ₹20L+ roles (that's my next goal) If you're: Stuck in non-tech wanting to switch to data Considering MS in Data Science Early in data career and need accountability Civil/mechanical engineer wondering if you can make it ...I can share what worked for me. No BS, no generic advice, just the actual playbook I used.