Jacob Tavener Email & Phone Number

Responsible for designing, building and maintaining the company's platform, with a particular interest in backend services and data at rest.Highlights:• Developed IAM capabilities for our new SaaS solution, including user authentication, authorization, roles and permissions management, and security auditing.• Automated processing of 3D models to normalise their size and positioning and enrich them with additional metadata

Technical lead in a long-term project developing the data platform prototype into a production-ready system.Highlights:• Built a configuration service for the data platform with a FastAPI, SQLAlchemy, PostgreSQL backend and Vue3 frontend.• Designed and implemented configurable ingestion pipelines using Apache Beam.• Implemented a local development set-up for the platform using docker and docker-compose.• Implemented a GraphQL API for exporting data from the platform. This involved writing a translation service using Pydantic and Strawberry so we could query data in the EAV model using the GraphQL query format.• Deployed the platform in GCP using services such Cloud Run, Dataflow, EventArc and Cloud SQL.----Involved in the development and maintenance of all services in the company platforms.Highlights:• Building out new capabilities in our internal Django platform• Internal tooling to aid local development, including a Go-based CLI that surfaces package manager operations in the current project directory, and handles the execution of custom and package manager commands under a generic alias.

London, England, United Kingdom

Worked with a Solution Architect on a long-term R&D project. We designed a new data platform using an adapted EAV model for retailer product data.

London, England, United Kingdom

Continued working as a Data Engineer within the internal analytics solution but with the additional responsibility of maintaining and improving the solution's DevOps systems.Highlights:• Writing CI/CD pipelines in Jenkins and IaC scripts using AWS CDK• Gained an in-depth understanding of the existing cloud infrastructure which had been deployed in AWS and consisted of services such as EC2, DynamoDB, Lambda, RDS, ECS, S3, and SQS

London, United Kingdom

Worked as a Data Engineer within an internal voice-based analytics solution.Highlights:• Redesigned a batch ETL pipeline, which resulted in processing time being reduced from 1.5 hours to under 5 mins• Developed UI performance tests using Scala, Gatling, and Docker. Optimisations resulted in a 300% increase in the system limit for the number of concurrent active users.• Designed a transcription and metadata search mechanism using PostgreSQL tsvector and JSONB, capable of returning results on a 300k dataset in under 50ms• Created detailed documentation for the database schemas using a custom implementation of Sphinx

Bachelor Of Science - Bs, Mathematics, 1St

Nanodegree, Full-Stack Development, Pass