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harsha venkatasaiHV
Open to opportunities

harsha venkatasai

@harshavenkatasai

Data engineer specializing in Microsoft Fabric and Power BI, delivering governed lakehouse datasets.

India
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What I'm looking for

I’m looking for a remote-ready team where I can build governed Microsoft Fabric lakehouse solutions and high-performance Power BI models, automate deployments with CI/CD, and focus on monitoring, uptime, and data security.

I’m a Data Engineer with 4 years 7 months of hands-on experience building end-to-end data pipelines on Microsoft Fabric—OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks—and supporting governed, structured lakehouse solutions aligned to Medallion Architecture (Bronze/Silver/Gold). I translate cross-functional data and analytical requirements into secure, well-modeled datasets that reporting teams can trust for Power BI.

I partner with stakeholders to deliver secure analytics at scale, implementing data governance, data quality, and data security frameworks, including RLS and workspace role controls. I’ve driven measurable impact—40% faster report load times, 30% lower reporting downtime through proactive monitoring (Azure Monitor and Datadog), and zero security incidents for 1,000+ users—while managing Level II/III support for ETL and warehousing solutions.

Experience

Work history, roles, and key accomplishments

TL
Current

Data Engineer (Power BI & Fabric)

Trianz Digital Consulting Pvt. Ltd.

Oct 2024 - Present (1 year 9 months)

Architected and administered Microsoft Fabric workspaces, OneLake/Lakehouse solutions, and Power BI governance frameworks for a global insurance client. Improved reporting uptime and performance by reducing reporting downtime by 30% through proactive monitoring and automated alerts, and supported Azure SQL migration using Azure Data Migration Service.

TL

Data Analyst (Power BI Development)

Trianz Digital Consulting Pvt. Ltd.

Sep 2021 - Oct 2024 (3 years 1 month)

Built 15+ interactive Power BI dashboards for an investment client by translating multi-source data into executive-ready visualizations. Improved load times by 40% and reduced refresh durations from hours to minutes by redesigning models, optimizing DAX, and implementing incremental refresh and query folding.

Education

Degrees, certifications, and relevant coursework

QT

QIS College of Engineering and Technology

Bachelor of Technology, Electrical & Electronics Engineering

Grade: CGPA: 7.6/10

B.Tech in Electrical & Electronics Engineering from QIS College of Engineering and Technology (CGPA: 7.6/10), completed in 2021.

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