Biotech data analyst to Data Engineering

Hello, I am a bioinformaticist (8 YOE + Masters) in Biotech right now and am interested in switching to Data Engineering.

What I have found so far, is I have a lot of skills that are either DE adjacent, or DE under a different name. For example, I haven't heard anyone call it ETL, but I work on 'instrument connectivity' and 'data portals'. From what I have seen online, these are very similar processes. I have experience in data modeling creating database schemas, and mapping data flow. Although I have never used 'Airflow' I have created many nextflow pipelines (which seem to just all be under the 'data flow orchestration' umbrella.

My question is how do I market myself to Data engineering positions? I am more than comfortable taking a lower title/pay grade, but I am not sure what level of position to market myself to.

I know this sub doesn't allow r esume reviews, but I have this professional summary that I wrote up, hoping it doesn't sound too 'AI' or 'word salad'. I was hoping direct feedback on the summary would not breach the subreddit rules.

PROFESSIONAL SUMMARY:

Bioinformatics engineer interested in transitioning to more traditional data engineering.  4+ years building scalable data platforms, ETL/ELT pipelines, and cloud-native data systems. Strong mathematical foundation (BS in Mathematics, MS in Data-focused field) combined with proven expertise in Python, data modeling, and distributed systems. Track record designing robust data architectures that support large-scale integrations, and real-time analytics. Experienced collaborating with cross-functional teams to deliver production-ready data solutions with high reliability and data quality. Passionate about building systems that transform raw data into actionable insights.

Thanks in advance.