Alex Lordthorsen is a Senior Data Ops Engineer based in Seattle with 12 years of experience building high-throughput ETL, streaming, and data lake solutions across startups and enterprise environments. He has a proven track record of designing cost-saving pipelines—such as a Spark/EMR reconciliation framework handling multi-currency billing that saved his prior employer nearly $100k annually and a DynamoDB-to-Parquet ETL that cut ad-hoc query costs dramatically. Comfortable from low-level parsing and performance profiling to orchestration with Airflow, Terraform, Kinesis, and S3/Redshift, he repeatedly reduces latency and operational overhead in production systems. He combines a pragmatic engineering mindset from roles at Dell EMC and Isilon with hands-on leadership—having led teams that rebuilt core ETL platforms and customer-facing analytics products. Beyond typical data engineering work, he’s experienced in building custom parsers and distributed tooling for large-scale clusters, reflecting deep attention to efficiency and edge-case robustness.
12 years of coding experience
10 years of employment as a software developer
Associate of Arts (A.A.) General Studies, Associate of Arts (A.A.) General Studies at Edmonds College
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Western Washington University
Contributions:58 commits, 19 pushes, 1 branch in 6 months
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