Larsen Cundrič

As part of the Operational Finance team I helped build a near-real-time internal accounting software for P&L visibility for freight shipments.Used Kotlin, Spring Boot, MongoDB and Apache Kafka to:

➡️ Import, transform and store data tied to shipments, routes, invoices, bills and clients in a way that is meaningful for accounting and financial visibility

➡️ Build new features and simplify logic on top of existing micro-services

➡️ Improve our ability to recognise Flexports revenue more accurately.I also investigated why data is incomplete/incorrect and identified new opportunities for improving data quality in our accounting system.

Moreover, I managed cross-team collaborations since we listened to AWS Kinesis streams from a lot of different teams in the United States. Lastly, I helped improve the teams onboarding process.

Used JavaScript, Node.js and MongoDB to:

➡️ Design and build new microservices and integrate 3rd party software,

➡️ Create serverless components and core functionalities supporting the event driven architecture using AWS SSM, SNS, SQS, Lambda, S3 and DynamoDB,

➡️ Monitor, fix and upgrade microservices in productionWhile building and monitoring production software I also interacted with AWS IAM, CloudWatch, CodePipeline, X-Ray and CodeArtifact.

While building and monitoring production software I also interacted with AWS IAM, CloudWatch, CodePipeline, X-Ray and CodeArtifact. I also helped junior engineers with onboarding and mentored them.

My first challenges at NU were to use ReactJS and MaterialUI and build our first PoC dashboard for user data presentation while at the same time analyzing biological data and building age clocks.

I also helped junior engineers with onboarding and mentored them.