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Avitej Singh Chadha

@avitejsinghchadha

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Data Visualization Developer at Relevate who delivered 20+ Power BI dashboards for property and insurance reporting.

India

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At Relevate, I deliver BI and data engineering solutions for NtoN – Strata & Property Insurance. I designed end-to-end Azure Data Factory pipelines that bring SQL, SharePoint, FTP, and ERP data into Azure SQL.

I developed 20+ Power BI dashboards for insurance policies, property managers, and processes, and built real-time reports with Microsoft Fabric Eventstream and Eventhouse. I also contributed to setting up CI/CD pipelines for Azure Data Factory.

Previously, at SourceMash, I delivered BI, ETL, and analytics solutions across three clients and led a data team of 10–12 members. My work included building 30+ Power BI reports and developing Tableau and SSRS reporting for client projects.

Experience

Work history, roles, and key accomplishments

Current

Data Visualization Developer

Current

Relevate

Jul 2023 - Present (3 years 3 months)

Served as Technical Lead delivering scalable BI and data engineering solutions using Power BI, Azure Data Factory, and Azure SQL. Led end-to-end project execution including business analysis, stakeholder engagement, requirement gathering, and project management.

Data Analyst

SourceMash

Nov 2021 - Jun 2023 (1 year 7 months)

Served as Technical Lead across 3 clients delivering BI, ETL, and analytics solutions using Power BI, SSRS, Tableau, ADF, SQL, and Excel. Led a data team of 10-12 members, overseeing task allocation, quality assurance, and timely project delivery.

Power BI SSRS Tableau Azure Data Factory SQL Excel DAX Data Modeling ETL Data Architecture Stored Procedures Views Automated Jobs Jira Asana Halo Python Data Analysis Project Management Team Leadership

Data Specialist

IDS OMNI Solutions Private Ltd.

Sep 2020 - Oct 2021 (1 year 1 month)

Supported a service-based client specializing in financial data analysis, delivering solutions aligned with their analytical and reporting needs. Extracted and integrated data from multiple sources using Python; performed data transformation, Exploratory Data Analysis (EDA), and delivered actionable insights based on business objectives.