Temidayo Omoniyi

Temidayo Omoniyi is a Microsoft Certified Data Analyst, Microsoft Certified Trainer, Power Platform Developer, Azure Data Engineer, Content Creator, and Technical writer with over three years of experience. Currently, he works as a data and business intelligence analyst for a training and consulting company in Lagos, Nigeria. Temidayo enjoys creating educative content on YouTube, LinkedIn, Twitter, and other online platforms. He loves sharing his knowledge and writing about systems, applications, tools, and processes. Apart from training, writing, and coding, you will find him watching and reading Anime. He is a big fan of DC Comics.
  • MSSQLTips Awards: Trendsetter (25+ tips) - 2025 | Author of the Year - 2023, 2024
Title Category Date
Manage Long Running SQL Queries and SQL Agent Jobs Monitoring2026-04-29
Azure Cosmos DB Event Trigger Solution Azure Functions2026-02-27
Azure Functions: The Serverless Powerhouse Azure Functions2026-01-30
Secrets of GitHub Actions: What the Docs Don’t Tell You Application Development2025-09-25
Build a CI / CD Pipeline for Azure Functions using GitHub Actions Azure Functions2025-06-27
Azure Logic App for Microservices Azure2025-05-21
Azure Function Event Grid Trigger Example and HTTP Post Request Azure Functions2025-04-23
Understanding Azure Functions for Microservice Architecture Azure Functions2025-03-28
Redpanda an Alternative to Confluence Kafka Cloud Strategy2025-02-14
Multiple Ways of Performing Incremental Load Using Azure Data Factory Azure Data Factory2025-01-21
Build a Streaming Data Architecture with Apache Kafka and Zookeeper Cloud Strategy2024-11-11
Apache Kafka for Streaming Real-Time Data Cloud Strategy2024-10-29
Predictive Analysis and Descriptive Analysis with Azure ML, Power BI Cloud Strategy2024-09-25
How to Design a Real-Time Streaming Platform with Azure Cloud Strategy2024-09-05
Provisioning with Azure CLI and Automating a Python ETL Pipeline Python2024-08-08
Migrate a SQL Server Database to a PostgreSQL Database PostgreSQL2024-07-10
Automate ETL Processes with PySpark on a Windows Server Python2024-06-05
Azure Synapse Analytics and Power BI Integration Azure Synapse Analytics2024-05-06
Azure Data Factory Pipeline Failures and Notifications Management Azure Data Factory2024-04-02
Dynamically Copy Data from SQL Server to Azure SQL Database Azure SQL Database2024-03-14
Azure Data Factory to Move Data using ForEach and Lookup Activities Azure Data Factory2024-02-20
Build a Modern Data Pipeline with Databricks and Azure Data Factory Azure Databricks2024-01-03
Git Integration Repo in Databricks for Developer Collaboration Azure Databricks2023-11-10
Databricks Unity Catalog for Unified Data Governance Azure Databricks2023-10-27
Azure Databricks Delta Lake, Hive Metastore, Managed, External Tables Azure Databricks2023-09-28
Import JSON into Databricks Spark and Excel into Databricks Azure Databricks2023-09-06
Power BI Datamart Low-Code and No-Code Reporting Functionality Power BI2023-08-15
Power BI Dataflows for Creation of Reusable Data Transformations Power BI2023-07-12
Power BI Data Gateway – Getting Started Guide Power BI2023-06-15
Power BI Row-Level, Column-Level and Object-Level Security Power BI2023-06-01
Azure Storage Options for Azure Databricks Azure Databricks2023-04-20
Azure Data Factory and Azure Databricks for Data Integration Azure Data Factory2023-03-24
Configure and Ingest data from Google Drive using Azure Data Factory Azure Data Factory2023-01-23
Power BI Reports using Files in Azure Data Lake Gen2 Storage Power BI2023-01-16