Dear Hiring Manager,
I am returning to work after a planned career break and targeting data engineer roles where my previous experience in pipeline design, SQL modelling, orchestration, data contracts, and stakeholder communication is directly useful. During the break I kept current through focused practice with Python, SQL, dbt, Airflow, Spark, Snowflake, Kafka, and data quality checks and rebuilt a recent sample around built a batch ingestion pipeline with schema tests, backfill controls, and clear lineage for finance reporting.
The break has not changed the way I approach the core work of this role. Your team needs reliable pipelines, warehouse modelling, data quality discipline, and practical incident response, and my strongest examples sit in that exact area. I would use this letter to show the connection with one specific project, the constraints I worked under, and the judgement I brought to the decision points.
A recent example is that I built a batch ingestion pipeline with schema tests, backfill controls, and clear lineage for finance reporting. That work required Python, SQL, dbt, Airflow, Spark, Snowflake, Kafka, and data quality checks, but the more important point is how I made decisions, explained tradeoffs, and followed the result through after release.
I would welcome the opportunity to discuss the role and the recent work I can show now. data engineering teams need evidence that pipelines are dependable and explainable, so I would keep the letter concise, evidence-led, and tied to the outcomes the hiring team is likely to care about.
Yours sincerely, Alex Morgan