Himansu Pandey
@himansupandey
Data Engineer specializing in Microsoft Fabric, Azure pipelines, and Power BI—building governed lakehouse analytics that teams trust.
What I'm looking for
I’m a Data Engineer with 4+ years delivering end-to-end analytics and BI solutions across healthcare, automobile, and insurance. I build scalable data pipelines with Microsoft Fabric, Azure Data Factory, and Azure Databricks, turning raw data into lakehouse models using Medallion Architecture.
I’m hands-on with PySpark, Python, SQL, and strong data governance—especially Row-Level Security, data quality validation, and performance tuning. I also create executive-ready Power BI dashboards (DAX, Power Query) that optimize query speed and reduce report load times, helping stakeholders make faster, data-driven decisions.
Experience
Work history, roles, and key accomplishments
Senior Developer
Team Computers
Dec 2023 - Present (2 years 6 months)
Designed and deployed 5+ Power BI dashboards and paginated reports with complex DAX and Row-Level Security (RLS) across healthcare and automobile domains. Built Medallion Architecture Lakehouse pipelines and optimised ETL/ELT in Azure Data Factory, Azure Databricks, and Microsoft Fabric, improving query performance by 40% and reducing processing latency by 50%.
Data Analyst
Sail Analytics
Sep 2022 - Nov 2023 (1 year 2 months)
Created and published 3+ interactive Power BI dashboards for real-time KPI tracking, reducing manual reporting effort by 40%. Built automated Python-based ETL from AWS databases, performed data modelling and cleansing in Power Query, and reduced infrastructure costs by 30% through SQL and storage optimisation.
Power BI Developer
Fiverr
May 2022 - Sep 2022 (4 months)
Delivered 10 end-to-end Power BI projects with a 100% completion rate and 5-star client ratings, covering dashboard design, data modelling, and report publishing. Optimised Power BI data models using Power Query and DAX, improving average dashboard load time by 30%.
Education
Degrees, certifications, and relevant coursework
United College of Engineering & Research, Prayagraj
Bachelor of Technology, Computer Science & Engineering
2015 - 2019
Grade: 79% aggregate
B.Tech in Computer Science & Engineering at United College of Engineering & Research, Prayagraj (2015–2019), achieving 79% aggregate.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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