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AWS Data Engineer Cover Letter Example

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Pipeline latency reduction-72%
Storage cost savings-31%
Data product adoption increase+180%

This aws data engineer cover letter example complements the aws data engineer resume example.

It demonstrates how to reference wins like achieving -72% pipeline latency reduction, achieving -31% storage cost savings, and achieving +180% data product adoption increase without repeating your resume word for word.

Bring personality forward by emphasizing strengths such as Architects AWS-native data platforms with governance baked in, Turns FinOps insights into measurable storage and compute savings, and Ships reliable pipelines with observability, IaC, and automation.

Cover Letter preview for AWS Data Engineer Cover Letter Example
How to use this cover letter
Dear Hiring Manager,

I'm excited to apply for the AWS Data Engineer position. AWS data engineer modernizing data lakes, cutting pipeline latency 72%, lowering S3/Redshift spend 31%, and tripling analytic product adoption.

At LakeCraft Analytics, migrated on-prem ETL processes to an AWS lakehouse architecture using Glue ETL jobs, Lake Formation for governance, and Redshift Spectrum for querying. This shift streamlined data refreshes and made insights more accessible to teams.

I have a track record of achieving -72% pipeline latency reduction, achieving -31% storage cost savings, and achieving +180% data product adoption increase.

My key strengths include Architects AWS-native data platforms with governance baked in, Turns FinOps insights into measurable storage and compute savings, and Ships reliable pipelines with observability, IaC, and automation.

I'm known for strengths in cloud, data platforms, and automation while partnering with cross-functional teams.

I would welcome the opportunity to discuss how my experience can support your goals. Thank you for your time and consideration.

Marcus Holland
AWS Data Engineer | Lakehouse & Streaming Architect

Highlights

  • Architects AWS-native data platforms with governance baked in.
  • Turns FinOps insights into measurable storage and compute savings.
  • Ships reliable pipelines with observability, IaC, and automation.

Tips to adapt this example

  • Choose one metric such as achieving -72% pipeline latency reduction to show the scale of your impact.
  • Mirror the language from the job post in your first paragraph to signal fit immediately.
  • Anchor each paragraph around a single achievement and quantify the outcome when possible.
  • Close with a confident call to action that makes it easy to move to the interview stage.
  • Adapt the focus of the second paragraph to spotlight strengths like Architects AWS-native data platforms with governance baked in.

Keywords

AWS GlueRedshiftLake FormationKinesisLambdaStep FunctionsInfrastructure as CodeData ContractsCost OptimizationData Governance
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