Kim Kurki

Amazon Web Services

Proficient in architecting and constructing robust data engineering solutions using an array of AWS services. Specializing in harnessing the power of Docker, S3, AWS Lambda, RDS, EKS, and ECR, while adeptly orchestrating pipelines with Airflow, AWS Step Functions, and Kubernetes.

Extensive experience working with monitoring tools, including Grafana, CloudWatch, and Datadog, ensuring seamless performance and reliability of data systems.

Skilled in Infrastructure as Code (IaC) implementation using CloudFormation, CDK and SAM, streamlining the deployment and management of resources on the cloud.

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Microsoft Azure

Proficient in designing and constructing data engineering solutions leveraging the Azure platform. Specializing in Azure SQL, Azure Data Lake Storage, Azure Functions, and Azure App Service to create scalable and efficient data pipelines.

Skilled in orchestrating seamless data workflows through Azure Data Factory and Azure Databricks, ensuring smooth data processing and transformation.

Expertise in Azure DevOps and Continuous Integration/Continuous Deployment (CI/CD) practices, enabling streamlined development, testing, and deployment of data engineering solutions.

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.NET Stack

Proficient in the .NET Framework and C#, with a proven track record of building efficient and reliable data pipeline applications.

Experienced in leveraging .NET to create robust data pipelines on both AWS Lambda and Azure Functions.

Adept in asynchronous programming techniques, enabling the development of responsive and scalable applications to handle complex data workflows.

Demonstrated expertise in implementing unit and integration testing best practices, ensuring the delivery of high-quality, bug-free software solutions.

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Python

Data Processing
Machine Learning
Data-analysis

Vast expertise in data manipulation and dataframes, employing the power of Pandas, PyArrow, and Apache Spark to efficiently handle and process data.

Highly proficient in Python, leveraging its capabilities to create versatile data applications.

Experienced in developing machine learning applications using renowned libraries such as scikit-learn and Tensorflow.

Passionate about GPU accelerated dataframe handling, utilizing cuDF (Nvidia RAPIDS) for lighting fast data processing and analysis.

Proficient in full-stack development utilizing Django or Flask to create dynamic web applications.

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NodeJS and Express

Skilled in full-stack development, leveraging Node.js and Express to build robust and scalable web applications.

Proficient in JavaScript, TypeScript, and HTML/CSS, enabling the creation of dynamic and interactive user interfaces.

Practical expertise of website certificate and authentication applications, ensuring secure and reliable web communications.

Competent in developing web applications from the ground up, taking projects from conception to implementation with efficiency and precision.

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Data Warehousing

SQL
Data Modelling

Seasoned in designing and constructing data warehouses and data vaults from inception to implementation.

Extensive experience working with various database management systems, with a primary focus on:
SQL Server / Azure SQL
Snowflake
PostgreSQL
Oracle Database
SQLite
InfluxDB

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