I built an end-to-end automated Power BI report of worldwide earthquakes from the past few days with Microsoft Fabric using USGS API, PySpark, T-SQL, the medallion architecture, and an Azure Data Factory pipeline.
I prepared an end-to-end Quicksight report of sample tasks using DynamoDB NoSQL database, AWS Glue, Lambda DynamoDB Connector, Athena, and S3 Bucket. I also used IAM to get permissions for Quicksight to invoke Lambda and S3.
As a BI Consultant Trainee at Intellica,
I automated weekly ELT workflows in the finance sector using Oracle ODI, reducing manual workload by 80% and accelerating data refresh for BI reporting.
I built data marts from 7,829 raw records with Oracle SQL and pipelines, then validated and visualized insights via Power BI and Canva, delivering customer-profiling dashboards.
I won't just say, "And I know so many more." No, that's not realistic.
But I can learn and apply what's needed to get the job done from here.