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Niteesha BallaNB
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Niteesha Balla

@niteeshaballa

Senior Analytics Engineer at Government of Alberta who unified divisional data in a golden semantic model and modernized reporting with Microsoft Fabric.

Canada
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At Government of Alberta, I architected a Lean Data Warehouse strategy that brought divisional data into a unified golden semantic model, reducing duplication across reports. I also developed PySpark notebooks in Microsoft Fabric to land external government data in OneLake.

I demonstrated sub-second query performance with a Microsoft Fabric Lakehouse and Direct Lake proof of concept across multi-million-row enterprise tables. I also established BI DevOps standards using Power BI Developer Mode, GitHub source control, and Fabric Deployment Pipelines.

At BMO (Bank of Montreal), I consolidated operational telemetry from GitHub, Jira, Dynatrace, and Ansible into an analytics platform for executive dashboards. Python REST API scripts reduced manual data collection efforts by 80%.

At Manulife, I migrated 80+ legacy contact center reports into a consolidated Power BI ecosystem, eliminating a two-day reporting lag. Earlier, at Infosys (Client: Microsoft), I engineered a Power Apps and Azure SQL application that replaced manual paper and spreadsheet tracking.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Lambton College logoLC

Lambton College

Post Graduate Degree, Artificial Intelligence and Machine Learning

2022 - 2023

Pursued a Post Graduate Degree in Artificial Intelligence and Machine Learning at Lambton College, Canada, from January 2022 to August 2023.

Aditya Engineering College logoAC

Aditya Engineering College

Bachelor of Technology, Computer Science Engineering

2014 - 2018

Earned a Bachelor of Technology in Computer Science Engineering from Aditya Engineering College, Kakinada, India, from July 2014 to May 2018.

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