About Cosmin Catalin
Fractional data expert working on high impact engineering deliverables.
My daily work involves designing distributed architectures and implementing efficient solutions that solve real business problems. Performance, maintainability and best practices sit at the core of my deliverables.
Challenge me with a problem and I will happily rise up to it. With more than 20 years of experience, the above is just scratching the surface.
English
Fluent
Danish
Basic
Romanian
Native or bilingual
Remote only
Primarily works remotely
Experience
- the LEGO GroupSenior Data EngineerDIGITAL AND ITMay 2023 - Today (3 years)Copenhagen, DenmarkPart of the Enterprise Transparency team focusing on collecting and manipulating data for use by upper management.• Developed the GraphQL solution powering our data delivery to stakeholders.• Expanded and modernized the use of message-buses for real-time consumption and delivery of events.• Designed and implemneted a bespoke version of the Apollo GraphQL Router with OBO authentication, overcoming Azure AD shortcomings.• Introduced and matured elements of code quality such as code coverage gates and static analysis.• Consolidated the IaC and DevOps best practices across environments and reduced the security attack surface area.• Mentoring.• Pioneered the use of Rust for CLI tools and performance sensitive applications.• Technologies: (C#, Python, Rust), (Azure, AWS, Databricks), (Terraform, GraphQL, Pulsar, ArgoCD, K8)
- Saxo BankSenior Data EngineerBANKING AND INSURANCEDecember 2020 - April 2023 (2 years and 4 months)Copenhagen, DenmarkMember of the client modelling team that is responsible for using data to analyze customer behaviour, churn and lifetime value.• Lead the data transformation projects that our analysis and data science efforts rely on.• Introduced new elements of DataOps in the data lifecycle (Data Quality checks, Monitor ing).• Containerized and deployed ML based APIs to Kubernetes.• Pioneered the CI/CD pipelines for our department's projects.• Mentoring.• Out-of-band contributions.• Open source activity: [trades-importer][finance-library]• Technologies: (Spark, Kubernetes, Kafka, Airflow, MLflow), (Python, C#), (scikit-learn), (Azure, Databricks, Delta Lake)
- AudienceProjectData Science EngineerDIGITAL AND ITJanuary 2015 - November 2020 (5 years and 10 months)Copenhagen, DenmarkMember of the data science team that researches, evaluates and implements technical solutions for Big Data / ML initiatives.• Designed and implemented the distributed pipeline system for processing 1.5 billion events daily using a mix of batch and streaming elements [blog post].• Established patterns for processing of data following principles of idempotence, resiliency, automatic recovery, functional approach, monitoring and eventual consistency.• Bootstrapped the open-source mindset that allowed the release and contribution to exter nal projects such as [MLflow][kinesis-writer][simple-arguments].• Created and maintained the CI/CD/Artifacts infrastructure and pipelines.• Maintained a cost-conscious mindset and created a service to allow for easy usage of spot-priced resources complete with failover to on-demand.• Created the first available customer-facing API [ref].• Introduced Python and MXNet in the company's stack [blog post].• Recognized as AWS ML Hero for contributions and resources related to ML on AWS.• Technologies: (Spark), (Scala, Python, Java, C#), (MXNet, ML.NET), (AWS, GCP, Databricks)
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Education
- MSc. - IT TechnologyCopenhagen IT University2015Databases
- B.A. & MSc.Bucharest Polytechnics University2007Applied Information Technology