Resume Review – Changed My Domain to Data Engineering | Need Guidance for Job Switch
Edit: idk why I am not able to upload the Resume in the body. So here's the resume link
Hey,
I recently changed my domain to Data Engineering through a healthcare project, and I’m planning to switch companies in the next few months.
My current experience mainly involves:
- PySpark
- Apache Airflow
- ETL pipelines
- Medallion Architecture
- AWS S3 + Parquet
- Data quality validation workflows
- OCR + LLM-based extraction pipelines
- RAG systems
- Clinical/healthcare data engineering
The challenge is that I don’t yet have experience with many “modern DE stack” tools commonly seen in resumes like:
- Snowflake
- dbt
- Kafka
- Databricks
- Redshift
- Delta Lake
Most of my work has been focused on production healthcare data pipelines, validation workflows, orchestration, and clinically accurate data processing rather than massive-scale distributed systems.
I have around 2 years 8 months of total experience and want honest guidance on:
How competitive is my profile for Data Engineering roles?
Which projects should I build next to strengthen my resume for product-based companies?
What stack/tools should I prioritize learning first?
Is healthcare + AI/LLM data engineering considered valuable in the current market?
Should I position myself as a general Data Engineer or lean into AI/Healthcare Data Engineering specialization?
I’m planning to build projects around:
- AWS
- dbt
- Snowflake
- modern ETL/lakehouse architecture
Would really appreciate honest feedback and roadmap suggestions from experienced Data Engineers.
Thanks!