Danny Duncan Email & Phone Number
@criteriacorp.com
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Who is Danny Duncan? Overview
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Danny Duncan is listed as AI Data Engineer III at The Standard, based in Portland, Oregon, United States. AeroLeads shows a work email signal at criteriacorp.com and a matched LinkedIn profile for Danny Duncan.
Danny Duncan previously worked as Senior Data Engineer at Alter Domus and Senior Data Engineer at Criteria Corp. Danny Duncan holds Ms, Statistics from Portland State University.
Email format at The Standard
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AeroLeads found 1 current-domain work email signal for Danny Duncan. Compare company email patterns before reaching out.
About Danny Duncan
Expert in designing, implementing, and optimizing data pipelines for ad-hoc research, business intelligence, dataset delivery, client dashboards, and machine learning.Extensive experience working with a range of stakeholders (e.g. data analysts/analytics engineers, data scientists, product managers, cloud operations) to develop solutions to meet organizational goals.Proven success in establishing the development workflow for fellow data engineers and leading a data team within an agile framework.
Listed skills include Python, Etl, Apache Spark, Machine Learning, and 35 others.
Danny Duncan's current company
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Danny Duncan work experience
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Senior Data Engineer
Key Achievements- Provided database design, onboarding, and ad-hoc consulting for the data ops team to build data artifacts within Azure Databricks, and provisioned access through the Databricks Unity Catalog.- Maintained HTTP endpoints (Azure Durable Functions) for the data ops team to schedule downstream pipelines based on conditions in Jira. This allowed the team to fully automate pipelines, starting with ingestion and artifact creation (Databricks), proceeding through internal review (Jira), and ending with post-processing and delivery (Databricks).- Designed and deployed an operational data store (ODS) containing modeled data (Azure Database for PostgreSQL) and developed several associated pipelines (Azure Functions). This solution provided internal applications with a tool to ingest, model, and deliver client data.- Established a ruleset convention to improve the transparency of processing changes into the ODS.- Wrote the CI/CD pipelines for the automated deployment of application-level and infrastructure-level changes to the ODS.
Senior Data Engineer
Key Achievements- Led a cross-functional team consisting of individuals from product, design, and frontend engineering to re-architect the client analytics page using serverless infrastructure (AWS QuickSight).- Secured an annual contract with Snowflake as our data platform.- Tested several data ingestion services (Fivetran, Stitch, Meltano, Airbyte), then ultimately built out a custom integration solution that saved the company > $40k/year compared with the most likelyexternal choice (Fivetran).- Utilized a containerized environment (AWS ECS) triggered by an orchestration layer (Amazon MWAA) for the integration pipelines that connected the principal engineering databases with the data warehouse (Snowflake).- Governed the data warehouse to provision data access for internal stakeholders.- Provided transparent, version-controlled data transformations using GitHub Actions and dbt.
Data Engineer
Key Achievements- Monitored the ingestion of key data assets for the firm (e.g. credit card purchases, email receipts, IP address metadata).- Worked with other data analysts to troubleshoot issues and implement best practices within Apache Spark (AWS Databricks).- Facilitated communication and problem-resolution between upstream data vendors and downstream data stakeholders.- Built an anomaly detection service to validate source-level and team-level statistics.- Developed a customer segmentation algorithm to predict user demographics with unstructured text utilizing the Spark ML library.- Utilized container services (AWS ECS) to pre-process the ingestion of certain data assets.- Incorporated an open-source solution to publish an internal status dashboard, providing improved transparency of our data pipelines.
Research Associate
Key Achievements- Utilized large datasets to publish periodic and event-driven research on select public companies (e.g. Airbnb, Amazon, Blue Apron, Etsy, Grubhub, HelloFresh, Lyft, Shutterfly, Stitch Fix, Uber, and Wayfair).- Modeled data for KPI prediction (target <2% MAPE), cohort analysis, and transactional metrics.Migrated data pipelines from on-prem infrastructure to a cloud-based environment (AWS Databricks).- Optimized the query and modeling process by implementing a modular approach to calculating key metrics.- Developed an Excel API tool that allowed our clients to download and interact with our API data (VBA).- Took ownership of new associate training to ensure the team's long-term success.
Claims Specialist
- Processed and classified mortgage servicing data.- Filed relevant claims with insurance companies.
Cibm Analyst
- Compiled daily pricing information for U.S. debt securities.- Designed monthly revenue report of product and location data.- Produced market research on key relationships in the Asia-Pacific region.
Danny Duncan education
Ms, Statistics
Education record
Ms Prerequisites, Statistics / Mathematics
Ba, Political Science
Frequently asked questions about Danny Duncan
Quick answers generated from the profile data available on this page.
What company does Danny Duncan work for?
Danny Duncan works for The Standard.
What is Danny Duncan's role at The Standard?
Danny Duncan is listed as AI Data Engineer III at The Standard.
What is Danny Duncan's email address?
AeroLeads has found 1 work email signal at @criteriacorp.com for Danny Duncan at The Standard.
Where is Danny Duncan based?
Danny Duncan is based in Portland, Oregon, United States while working with The Standard.
What companies has Danny Duncan worked for?
Danny Duncan has worked for The Standard, Alter Domus, Criteria Corp, M Science, and Restoration Hardware.
How can I contact Danny Duncan?
You can use AeroLeads to view verified contact signals for Danny Duncan at The Standard, including work email, phone, and LinkedIn data when available.
What schools did Danny Duncan attend?
Danny Duncan holds Ms, Statistics from Portland State University.
What skills is Danny Duncan known for?
Danny Duncan is listed with skills including Python, Etl, Apache Spark, Machine Learning, Statistical Modeling, Amazon Web Services, Apache Airflow, and Cloud Computing.
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