Help & Supportcareers@gravityer.com
Power BI Developer with 6+ years in Business Intelligence & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Growth oriented professional with 6 years of total IT experience, including 3 years as a Power BI developer. Seeking a challenging role in Business Visualization where my IT expertise, technical, logical, and analytical skills can contribute to mutual growth. Hands-on experience with Power BI Desktop, Power Query, Power BI Service, DAX, and Azure Services. Proficient in creating various chart types and custom visualizations. Explored Microsoft Fabric, building end-to-end analytics solutions using Lakehouse, Dataflows Gen2, Pipelines, and OneLake. Strong knowledge of data warehousing concepts, ETL activities in Power Query, and enhancing data models with DAX.
Visvesvaraya Technological University, Belagavi
B.E(CSE) · Computer Science Engineering
January 1, 2014 – January 1, 2018
Smart It Solution Pvt Ltd
SAP Junior SD Consultant
December 1, 2018 – July 1, 2025
India
FMCG Sales Dashboards and Reports
January 1, 2023 – June 1, 2026
Responsible for loading data from various sources such as SQL Server, One Lake, Excel etc. and ensuring accuracy and reliability in data processing. Data gathering from multiple data sources My SQL, Excel to Power BI to build visuals. Ingestion data to Microsoft One Lake projects, specializing in the creation and management of Lakehouse and data warehouse environments. Performing the ETL activities in Power Query Editor and Azure Data Factory. Dataflow Gen2 for ETL transformations and successfully loaded data into the Lakehouse environment, ensuring smooth data processing and integration. Defined, designed, and developed interactive dashboards and other automated reporting in Power BI. Created Bookmarks/Page Navigations as per the requirement. Worked on pipelines for data loading and refreshing, ensuring continuous data availability and accuracy. Designed and developed reports, dashboards, and visualizations to meet project specifications and enhance data-driven insights. Creating custom visuals, and calculating columns and measures using DAX formulas. Designed and implemented efficient ETL processes to extract, transform, and load data from multiple heterogeneous sources into a centralized data warehouse. Developed complex SQL queries and stored procedures for data extraction, transformation, and loading, ensuring data quality and integrity throughout the ETL lifecycle. Migrated legacy ETL processes to a modern data warehousing platform, enhancing scalability, maintainability, and performance. Involved Used Aggregate DAX functions like SUM, SUMX, COUNT, COUNTA, MIN, MAX, hierarchies, charts, filters, quick filters, table calculated measures. Involved in creating the workspaces and apps, gateways for refreshing the reports. Used visual charts like Donut chart, Bar chart and few other new charts from Microsoft Certified. Collaborated with Azure data engineers and operations teams to implement the ETL process using Azure Data Factory, writing and optimizing SQL queries to perform data extraction that fits analytical requirements. Worked extensively on enhancing the data model by creating new columns, measures, and tables using DAX expressions, with significant experience in data modeling in Power Pivot.
Khazan Sellout Dashboard & Reports.
January 1, 2021 – December 31, 2023
Developed and designed Power BI dashboards to display the data in an organized, insightful manner. Connected and maintained various data sources such as SQL Server, Excel, CSV. Developed various visualizations to get insights from data and created reports. Developed and maintained Power BI documentation to track the changes in the reports. Involvement in other technologies in our project as and when require. Translating business objectives into technical specifications. Generated DAX measures based on client KPI’s and use some DAX functions like YTD, MTD, SAMEPERIODLASTYEAR, AGGREGATE FUNCTIONS etc. Implemented RLS (Row Level Security). Implemented DAX functions for calculated columns and measures. Designed and developed in doing Data Modelling in Power Pivot Model. Creating workspace as per the business requirement, creating gateways and scheduling daily refresh. Involved Used Aggregate DAX functions like SUM, SUMX, COUNT, COUNTA, MIN, MAX, hierarchies, charts, filters, quick filters, table calculated measures. Involved in creating the workspaces and apps, gateways for refreshing the reports. Used visual charts like Donut chart, Bar chart and few other new charts from Microsoft Certified. Created Bookmarks/Page Navigations as per the requirement. Used visual charts like Donut chart, Bar chart and few other new charts from Microsoft Certified. Collaborated with Azure data engineers and operations teams to implement the ETL process using Azure Data Factory, writing and optimizing SQL queries to perform data extraction that fits analytical requirements. Worked extensively on enhancing the data model by creating new columns, measures, and tables using DAX expressions, with significant experience in data modeling in Power Pivot.
Cultural Fit Analysis
The candidate's project experience demonstrates a strong alignment with the Power BI Developer role, showcasing diverse projects in FMCG and other sectors. The proactive exploration of Microsoft Fabric and continuous learning indicates a positive attitude towards new technologies and adaptability. The breadth of skills in Power BI, Azure services, and data warehousing concepts suggests a versatile profile suitable for dynamic environments. The long tenure at a single company, even in a different role, might indicate loyalty, but the lack of Power BI specific experience in the official employment history needs clarification.
Soft Skills & Operational Fit
The candidate's resume indicates a 'growth-oriented professional' and highlights involvement in translating business objectives into technical specifications, suggesting good analytical and problem-solving skills. Collaboration with data engineers and operations teams points to teamwork and communication abilities. The detailed project descriptions demonstrate a structured approach to development and reporting.