Ryan Lind
Verified Expert in Engineering
Data Modeling Developer
Ryan has over 10 years of experience in data engineering, database development, data warehousing, business intelligence, and reporting. He has a passion for bringing data together for analysis to support data-driven decision-making. Ryan strongly believes in supporting data quality and maintaining a source of truth for organizations.
Portfolio
Experience
Availability
Preferred Environment
Windows, Visual Studio, SQL Server Management Studio (SSMS)
The most amazing...
...project I've worked on was delivering a fully functional data warehouse from scratch with ETL from a source system developed in parallel.
Work Experience
Senior Data Engineer
Unity
- Developed pipelines to ingest data from Google Analytics for internal product analysis.
- Migrated integration workflows from Jenkins to GitHub Actions.
- Performed research and analysis on various data sources to create a consolidated analytics view.
- Built CI/CD workflows for data scientists and developers for robust and reliable deployments.
Data Engineer III
SSENSE
- Built new pipelines for ingesting data from pub/sub-topics and APIs into our data lake.
- Developed a data quality framework for proactively automating checks and flagging potentially harmful data.
- Constructed a pipeline for automating monthly tasks that saved business users several hours of manual work every month.
ETL Team Lead
CareSource
- Managed a team of developers handling core data marts used by the business for reporting.
- Planned and managed sprints as part of the software development lifecycle in agile.
- Collaborated with upstream teams to coordinate changes, remove potential blockers, and ensure smooth delivery of code.
Data Modeler
Houston Astros
- Developed a player-matching framework that allowed us to identify data matches for the same player from different data vendors and link the data together. Provided automated linking for sufficient quality matches.
- Built several pipelines for ingesting data from various sources such as APIs, spreadsheets, and FTP and making the data available to analysts for querying.
- Created a database deployment mechanism that allows us to manage database schema changes across different environments and reliably deploy the changes similar to code changes.
Data Team Lead
LGM Financial Services
- Built a complete data warehouse and custom reporting solution from the ground up in parallel with a source system launched on the same data.
- Architected a classification engine for the actuarial team to automate the classification of cars to serve as an important actuarial input.
- Led a team of 5–10 developers and provided advice and decision-making to manage operational growth.
Experience
LGM HUB
http://lgmhub.caThis project included a complete data conversion from the previous application, including all modeling and validation, along with a complete data warehousing solution and operational reports. We launched the web application in parallel with an ETL into our data warehouse, and automated reports were sent out after the first day of sales on the new system.
LGM Hub DW
http://lgmhub.caSkills
Languages
SQL, SQL DML, T-SQL (Transact-SQL), Python, Snowflake, C#.NET, Visual Basic
Paradigms
ETL, Business Intelligence (BI), Database Design, Database Development, Agile, Kimball Methodology, DevOps, Data Science
Platforms
Windows, Amazon Web Services (AWS), Docker, Kubernetes, Databricks
Storage
SQL Server Management Studio (SSMS), SQL Server 2016, SQL Server Reporting Services (SSRS), Microsoft SQL Server, SQL Performance, Database Administration (DBA), Database Performance, Databases, Database Migration, Data Integration, Database Architecture, SQL Server DBA, Data Pipelines, SQL Server Integration Services (SSIS), Data Validation, Database Replication, Data-tier Application Component Packages (DACPAC), Azure SQL, MySQL, Google Cloud, PostgreSQL
Other
Data Warehousing, Data Modeling, Data Engineering, Data Queries, Performance Tuning, Indexing, Query Optimization, Web Scraping, Data Processing, English, Data Architecture, Data Warehouse Design, Data Structures, Teamwork, Microsoft Azure, Data Conversion, APIs, Data Quality, Dashboards, Data Management, Data Visualization, Data Analysis, Unstructured Data Analysis, ELT, Web Development, Windows Subsystem for Linux (WSL), Software Development, Team Leadership, People Management, Mentorship, Octopus Deploy, GitHub Actions, Analytics, Google BigQuery, Sharding
Libraries/APIs
REST APIs, PySpark
Tools
Visual Studio, Microsoft Power BI, Apache Airflow, Amazon Athena, AWS Glue, Git, TeamCity, Jenkins, BigQuery, Looker, Google Kubernetes Engine (GKE), Tableau, Microsoft Excel
Frameworks
Spark, Windows PowerShell
Education
Bachelor of Computer Information Systems Degree in Computer Science
Okanagan College - Kelowna, BC
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