Ken Odegard
@kenodegard
Senior Data Solution Architect specializing in scalable ETL, big data, and cloud-native architectures.
What I'm looking for
I am a results-driven Senior Data Solution Architect with 11+ years designing, developing, and optimizing scalable data solutions across cloud platforms and big data ecosystems.
I have led end-to-end migrations to modern cloud data architectures, engineered 250+ ETL/ELT workflows, implemented real-time streaming (Kafka, Flink, Kinesis), and enforced enterprise data governance ensuring HIPAA and GDPR compliance.
I mentor cross-functional teams, integrate ML models into production on Databricks, and apply DevOps practices (Docker, Kubernetes, CI/CD, Terraform) to drive measurable improvements in performance, cost, and reliability.
Experience
Work history, roles, and key accomplishments
Data Solution Architect
Benchling
Oct 2022 - Present (3 years 5 months)
Architected and deployed real-time data streaming and cloud-native data architectures, reducing infrastructure costs 50% and improving pipeline uptime to 99.9% while increasing operational responsiveness by 35%.
Senior Data Engineer
Expero
Aug 2019 - Sep 2022 (3 years 1 month)
Developed and optimized large-scale Hadoop and Spark pipelines and real-time analytics platforms, improving data processing speeds and enabling actionable insights for stakeholders.
Data Engineer
AMN Healthcare
Jun 2017 - Jul 2019 (2 years 1 month)
Designed scalable ETL pipelines on GCP using Apache Beam and Dataflow and built a GCP data lake, reducing data discrepancies 40% and delivery time by 30%.
ETL & Data Warehouse Engineer
Concertium
Oct 2015 - May 2017 (1 year 7 months)
Designed and maintained ETL pipelines and dimensional data warehouse solutions using Talend and SSIS, enabling cloud migrations and improving reporting performance for healthcare and financial analytics.
Education
Degrees, certifications, and relevant coursework
Rice University
Bachelor of Science, Computer Science
2011 - 2015
Bachelor of Science in Computer Science completed at Rice University between 2011 and 2015, focused on core computer science principles and practical software development.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Talend
D3.js
Google Cloud Platform
Amazon S3
GitLab
Kubernetes
Jenkins
CircleCI
GitLab CI
Jupyter
dbt
MySQL
PostgreSQL
MongoDB
SQLite
Cassandra
Hadoop
HBase
.NET
Databricks
Redis
Terraform
Jira
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Kafka
Apache NiFi
Trello
Google Cloud Dataflow
Ansible
Kafka Streams
Apache Storm
Airflow
Apache Beam
Time Analytics
Google BigQuery
SQL
Delta Lake
Great Expectations
Bash
Transform
Beam
Availability
Location
Authorized to work in
Salary expectations
Skills
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