what I do.

We Are A Group Of Skilled Developers And Programmers.

It’s all about data.

From data engineering to data architecture, from DataOps to data governance and from data modelling to report development, and everything in between – I provide tailored solutions to help you unlock the full potential of your data. Whether you’re building from scratch or optimizing what you already have, I ensure your data works for you, not the other way around.

here the stuff I usually work on.

We all know data combines loads of areas and you hardly ever work solely with one domain in a project. I would even say profound knowledge of any of those areas, will make you better in the other domains, too. For example, a data engineer without knowing the difference between Kimball and Inmon will most likely make worse design choices than someone that has data modelling experience. Likewise, someone taking into consideration data governance probably is able to set up a more sustainable data and report architecture.

Data Engineering

Robust data pipelines and workflows transform raw data into actionable insights. Solutions focus on integrating diverse data sources, setting up scalable ETL processes, and delivering reliable, efficient systems tailored to specific needs.

Power BI Development

Interactive dashboards and comprehensive reporting systems are created using Power BI to uncover trends, track KPIs, and enable data-driven decision-making. Emphasis is placed on building visually compelling and insightful tools for various business needs.

Data Governance
Comprehensive frameworks are established to ensure data quality, security, and compliance. By implementing clear policies and best practices, trust in data is maintained, and regulatory requirements are met while preserving agility..
Data
Modelling

Optimized data models simplify data consumption while ensuring performance and scalability. These models are designed to enhance clarity and usability for both technical and business stakeholders.

DataOps

The principles of DevOps are applied to data, focusing on streamlining the development and deployment of data solutions. Automation, monitoring, and collaboration enable faster delivery and higher quality outcomes in data-driven initiatives.

Data Architecture

Scalable and future-proof data ecosystems are designed to align with business goals. Solutions span on-premises, cloud, or hybrid environments, with a focus on selecting the right technologies and strategies for effective data storage, management, and access.

the tech stack.

While I consider Azure my go to cloud provider, I have used other technologies as well. Below a list of the tech stack I have been working with throughout my career:

• Azure
• Data Factory
• Dataflow
• Azure SQL Database
• Synapse
• EventHub
• Analysis Services
• Power BI
• Databricks
• Data Lake Gen2
• Purview
• Logic App
• Fabric
• SSAS
• SSIS
• SSRS
• Azure DevOps
• JIRA
• AWS
• Lambda
• Snowflake
• Delta
• Spark
• T-SQL
• Postgres SQL
• Spark SQL
• Python
• R
• PowerShell
• DAX
• Power Query M
• YAML

blog articles from tackytech.blog

how to refresh individual tables or partitions in power bi semantic models from fabric data pipelines.

Refresh only the parts of your semantic model that you really need to!

how to team up power bi with fabric kql (or adx) to unlock graph insights.

Let’s get those graph and network data structures into Power BI with the help of Fabric KQL.

why you should not build one gigantic super semantic model (former dataset) in power bi.

Split semantic models per information area to avoid any of these issues!

certifications & awards.

Throughout the years, I was able to gather some Microsoft certifications, like Azure AI Engineer, Azure Security Engineer, Azure Administrator, Fabric Analytics Engineer or Power BI Data Analyst. I also hold the Microsoft Certified Trainer Licence and have been a Fabric/Power BI Community Super User since 2022.