Daniel Miller

- Joined EasyJet as first engineering hire for their MLOPs division.
- Pipelines to orchestrate data scientist workflows and deploy them and have been adopted across
business.
- Designed and developed MLOPs framework for model training, validation, promotion and
monitoring with a use case based on the likelihood of flight being overbooked.
- Productionisation of data science prototypes, including translation from Python to PySpark for
processing of larger datasets.
- Interviewed candidates for engineering positions.

Joined EasyJet as first engineering hire for their MLOPs division.
Pipelines to orchestrate data scientist workflows and deploy them and have been adopted across business.
Designed and developed MLOPs framework for model training, validation, promotion and monitoring with a use case based on the likelihood of flight being overbooked.
Productionisation of data science prototypes, including translation from Python to PySpark for processing of larger datasets.
Interviewed candidates for engineering positions.

- Interviewed candidates for Data Engineering and SDET positions.
- E2E data pipelines created covering ingestion from source to Snowflake. Covered batch,
streaming and API ingestion technologies.
- Transitioned to lead MLOPs initialization at Dunelm. Responsibilities included architecture, project
scoping, and technology implementation via lambda, sagemaker, spark and AWS/Terraform.
- Mentorship: Dunelm hired 3 junior engineers from code-first girls. Acted as a point of call for
training exercise and helped them with exercises and getting assimilated into teams.

Interviewed candidates for Data Engineering and SDET positions.
E2E data pipelines created covering ingestion from source to Snowflake.
Covered batch, streaming and API ingestion technologies.
Transitioned to lead MLOPs initialization at Dunelm.
Responsibilities included architecture, project scoping, and technology implementation via lambda, sagemaker, spark and AWS/Terraform.
Mentorship: Dunelm hired 3 junior engineers from code-first girls.
Acted as a point of call for training exercise and helped them with exercises and getting assimilated into teams.

Joined Sainsburys as a Data Engineer.
Strong performance led to promotion after 5 months.
January 2021: Strong performance and interest in Data Science led to a new role at the intersection between data science and data engineering.
Worked as sole engineer in data science squad.
Developed and productionize a feature and model calculator that tested, deployed and orchestrated SQL to calculate statistics such as average store spend per day.
Automatic on-call person for PII related production incidents and one of few in business with automated approval to production PII AWS accounts.

Python applications to orchestrate deployments to all environments.
Experience as on-call DevOps engineer for networking, infrastructure & release based issues.
Developed software for allocation of loyalty points to sports betting customers across US states.
Worked with Caesars directly on implementation.