Professional Resume Template for
Data Engineer
Aria M. Thorne
Seattle, WA
(206) 555-0143
aria.thorne@email.com
linkedin.com/in/aria-thorne | github.com/ariathorne | ariathorne.dev
Professional Summary
Systems-oriented Data Engineer with 6 years of career focus on architecting distributed lakehouse architectures and real-time streaming pipelines. Expertise includes designing ETL/ELT workflows handling 100M+ daily events, optimizing Spark query execution times, and managing cloud storage infrastructure on AWS and GCP. Successfully reduced API data latency by 45% and cut monthly database storage costs by 28% through custom partitioning and schema optimization. Proficient in Python, SQL, Apache Spark, Kafka, Airflow, dbt, Snowflake, and Databricks.
Work Experience
Data Engineer II — Sentry Analytics
Seattle, WA | July 2022 – Present
- Designed and implemented a real-time data streaming pipeline using Apache Kafka and Spark Streaming, handling ingestion of 120M events per day with a 99.99% pipeline uptime.
- Migrated legacy on-premise warehouse to AWS Snowflake, reducing query response times by 52% and annual licensing costs by $140,000.
- Orchestrated 40+ complex data pipelines using Apache Airflow, improving workflow reliability from 88% to 99.6% through automated retries and alerting systems.
- Optimized PySpark batch processing jobs, cutting resource consumption on AWS EMR by 35% and saving 12 engineering hours per week in pipeline maintenance.
Data Engineer — Clarity Retail Systems
Bellevue, WA | June 2020 – June 2022
- Developed ETL pipelines using Python and SQL to ingest sales transaction data from 400+ retail stores, processing $12M in daily sales volumes.
- Refactored relational database schemas and indexed PostgreSQL tables, improving reporting dashboard refresh speeds by 40%.
- Implemented data quality validation checks using Great Expectations, reducing data errors in executive reports by 65%.
- Built data extraction scripts from 5 third-party APIs, expanding the customer profile database by 1.8M verified records.
Education
Bachelor of Science in Computer Science
University of Washington · Seattle, WA · 2020
Skills
Python, SQL, Apache Spark, Apache Kafka, Apache Airflow, dbt, Databricks, Snowflake, PostgreSQL, AWS (S3, EMR, Redshift, Glue), GCP (BigQuery, Cloud Composer), Terraform, Delta Lake, Great Expectations, CI/CD
Projects
Enterprise Lakehouse Migration
Role: Lead Data Engineer
Tools: Databricks, Delta Lake, AWS, Apache Airflow
Architected a migration from Redshift to Databricks Lakehouse, processing 800M records and reducing query latency by 45%.
Real-time Ingestion Architecture
Role: Data Engineer
Tools: Apache Kafka, PySpark, AWS Kinesis, Terraform
Built a streaming data ingestion pipeline for credit transaction verification, processing 4,000 events per second with sub-second latency.
Certifications
- AWS Certified Data Engineer – Associate (2024)
- Google Cloud Professional Data Engineer (2023)
Additional information
- Languages: English (Native), French (Conversational)
- Volunteer Work: Technical mentor for regional Girls Who Code chapter (2022-present)
- Availability: 2 weeks notice
Job Market Insights
Market data and opportunities for
Data Engineer
Job Market Insights
$115,000
-
$150,000
Avg:
$132,000
Growth Outlook:
The demand for skilled Data Engineers in the United States remains extremely high, driven by the expansion of cloud data platforms and the rapid integration of artificial intelligence and machine learning workloads. As organizations focus on optimizing data infrastructure costs and migrating to modern lakehouse architectures, Data Engineers who can build scalable, secure pipelines are in short supply. Employment in related data and software engineering fields is projected to grow by 25% over the next decade, with the global data engineering services market growing at a 15% CAGR.
15% CAGR through 2031
Key Skills Required
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