π Certified! Iβm excited to share that today Iβve officially passed the DP-700: Implementing Data Engineering Solutions on Microsoft Fabric certification! π
After around 4 weeks of hands-on experience in building scalable data engineering pipelines, working with lakehouses and warehouses, optimizing Spark performance, and enabling real-time analytics using Microsoft Fabric, I'm proud to share I am now certified Microsoft Fabric Data Engineer Associate. π
The journey has been a rewarding mix of learning, problem-solving, and exploring modern data engineering concepts.
π Key Skills and Topics
β’ Lakehouse architecture and medallion design
β’ Data ingestion & transformation with Pipelines & Dataflows Gen2
β’ Pyspark Notebooks for large-scale data processing
β’ Real-time analytics with KQL databases, Eventstream, Spark Structured Streaming
β’ Implementing Medallion architecture, orchestrating workflows and automation
β’ Power BI, Semantic Models & Real Time Dashboards
β’ Optimizing data engineering workloads using Spark and SQL
β’ Applying governance, security, and monitoring best practices
A big thank you to the Microsoft Learn platform and amazing data engineering community on youtube here that helped me along the way π
I loved sharing my journey & projects I built on youtube here! :)
NextGen Data
π Certified! Iβm excited to share that today Iβve officially passed the DP-700: Implementing Data Engineering Solutions on Microsoft Fabric certification! π
After around 4 weeks of hands-on experience in building scalable data engineering pipelines, working with lakehouses and warehouses, optimizing Spark performance, and enabling real-time analytics using Microsoft Fabric, I'm proud to share I am now certified Microsoft Fabric Data Engineer Associate. π
The journey has been a rewarding mix of learning, problem-solving, and exploring modern data engineering concepts.
π Key Skills and Topics
β’ Lakehouse architecture and medallion design
β’ Data ingestion & transformation with Pipelines & Dataflows Gen2
β’ Pyspark Notebooks for large-scale data processing
β’ Real-time analytics with KQL databases, Eventstream, Spark Structured Streaming
β’ Implementing Medallion architecture, orchestrating workflows and automation
β’ Power BI, Semantic Models & Real Time Dashboards
β’ Optimizing data engineering workloads using Spark and SQL
β’ Applying governance, security, and monitoring best practices
A big thank you to the Microsoft Learn platform and amazing data engineering community on youtube here that helped me along the way π
I loved sharing my journey & projects I built on youtube here! :)
#MicrosoftFabric
#DataEngineering
#DP700
#Certification
#Azure
#ContinuousLearning
#MicrosoftCertified
2 months ago (edited) | [YT] | 16