Business Intelligence Analyst/power Bi Resume
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SUMMARY
- A Data Engineer with 5+ years of experience in MSBI (SSIS, SSAS, SSRS) Stack and 2+ years of experience with Microsoft PowerBI in analyzing and visualizing data to get meaningful insights from data to assist in well informed decision making for the management.
- Developed SSIS Packages for full loading and incremental loading of data in data warehouse using ETL mapping Document
- Created reports using SSRS with shared data sources, datasets and embedded data sources and datasets
- Designed and documented entire PowerBI Architecture
- Expertise in writing complex DAX functions in Power BI and Power Pivot
- Used various data sources to pull data into Power BI such as Sql Server, Oracle, Flat Files.
- Worked all kind of reports such as Yearly, Quarterly, Monthly, and Daily
- Extensively used Joins and Sub - Queries to simplify complex queries
- Worked with business partners to understand business objectives and develop value-added reporting with data extracts and analysis
- Created Drill Down Reports, Drill Through Report by Region
- Expertise in power Query, Power Pivot and Power View
- Used Power BI Desktop extensively and publish reports to Power BI Service and granted access to business managers to take decisions based on insights from a dashboard
- Created Dashboards from reports to get a high-level understanding on reports published
TECHNICAL SKILLS
Integration Solutions: SSIS
Analysis Solutions: SSAS multi-dimensional, Tabular, Power Pivot
Reporting Solutions: SSRS, PowerBI
Databases: SQL Server 2012,2014,2017
Languages: T-SQL, PowerShell, C#, java, Python, DAX
AZURE: Data Factory, Synapse Analytics, sql database
PROFESSIONAL EXPERIENCE
Confidential, Wilson, NC
Business Intelligence Analyst/Power BI
Environment: Power BI Desktop, Power BI service, PowerBI report Builder, Sql server Data Warehouse
Responsibilities:
- Created reporting solutions for user base analysis and sales analysis and product analysis reports for digital products that are listed at teacherspayteachers.com
- Used Power Query to Get Data from SQL data Warehouse, Flat files, and other sources into powerBI desktop application to model and analyze data and build visualizations
- Used other sources like sql server analysis services where data is already modeled to create reports on power bi desktop
- Used DAX language to crate measures and aggregations and calculations
- Used DAX to create KPIs and used visualizations like card and gauge charts to provide visual insights to users
- Data from Flat files is loaded to understand column profiling and data cleansing for data analysis
- Used DAX FUNCTIONS LIKE FILTER, Calculate, Summarize, SUM, Top N, Calendar etc. for data modelling
- Implemented data visualizations like Pie, Donut chart, Column Charts, Tables, Filled Maps, Scatter Plots, Card, Gauge Charts, Key Influencers etc.
- Implements Slicers for allowing User selected filtering options on the reports and used buttons for user experience improvement of report navigation
- Published reports to power bi service in a workspace
- Created dashboards for consolidated reporting of all the reports for business users at one place
- Implemented subscriptions and alerts for dashboard visuals
- Scheduled data refresh for datasets using gateway configuration
- Shared Reports with business users with different permission levels
- Managed gateways and added data sources to the gateway configuration
- Performance analysis and model improvement with performance analyzer at desktop level
- Collaborating with report developers at workspace levels
- Implemented row-level security and test as role at desktop level and powerbi service level.
- Managed power subscriptions and Data refreshers for data sets
- Implemented Time -Intelligence Functions that are useful in Year-to-Date sales using TOTALYTD, TOTALQTD, TOTALMTD etc.
- Implements data formatting and used analytics lines for easy analysis and used multi chart visuals
- Validated the Data model and Dax Measures created for report accuracy
Confidential, Wilson, NC
Data Engineer
Environment: SQL server 2012, 2014, SSIS, SSAS multidimensional, SSRS.
Responsibilities:
- Developed SSIS Packages for full loading and incremental loading of data in data warehouse using ETL mapping Document
- Performed debugging and unit testing of packages and tasks in a package
- Developed dynamic packages with connection managers at project level, package level and parameters for facilitating dynamic packages
- Implemented packages using tasks like execute sql task, data flow task, Script task, Send mail Task etc.
- Used Data Flow task for ETL and transformation tasks like Lookup, merge, merge join, Row count, Union all, SCD, OLE DB Command
- Implemented logging in packages using SSIS logging
- Implemented Transformations like derived column, conditional split using expressions in transformations of Data flow task
- Integrated Data from different sources Sql server, Oracle, DB2, Flat files like CSV, Excel
- Implemented Event Handling on required events like on Error, Post Execute, Pre-Execute
- Packages are Encrypted for Security Reasons within the organization
- Implemented Performance Tuning with Parallel Execution Buffer Size increase from Default and source side sorting and data type conversion
- Trouble Shooting SSIS Packages for memory handling issues
- GIT integration for SSIS Projects and version Control
- Implemented fact and dimensional modelling of tables in Datawarehouse and created a package for each fact and dimensional tables that are to be loaded into Datawarehouse
- Implemented slowly changing dimension for required columns in type 0 type 1 type 2..
- Loaded the fact table with OLTP Tables and surrogate key from dimensions
- Created reports using SSRS with shared data sources, datasets and embedded data sources and datasets
- Used different visualizations Table, matrix, list, line etc.
- Deployed reports to report server and access to business users
- Created paginated reports on report builder with table layout and formatting
- Created multiple page reports with sub reports and drill through options with parameter passing to the drill down pages
- Used cascading parameters for user filter options and user-based selection
- Connected to sql server database and sql server analysis service multi-dimensional cubes from SSRS for data analysis and visualization
Confidential
Associate Software Engineer
Responsibilities:
- Trained in Oracle Database, sqL, PLSQL
- Trained in sql querying advanced level stored procedures, triggers, cursors etc.
- Worked on a case study train ticketing system using oracle ADF.