Summary
Overview
Work History
Skills
Timeline
Generic

Kiran Annavarapu

Summary

With 6 years of experience in IT as a Business Intelligence Developer/Power BI Developer/ETL Developer, working in various domains such as Telecom, Finance, Retail and Insurance using MS SQL Server 2017/2016/2014/2012/2008R2/2008SQL Server Integration, Reporting & Analysis Services. Extensive experience in PowerBI Desktop, PowerBI Service, PowerBI Pro, PowerBI Premium. Extensive experience in Azure Cloud, Azure Data Lake Storage, Azure Data Factory, Azure Analytical Services, Azure Blob Storage, Azure Analysis Services, Azure Synapse, Apache Spark, Python, Data bricks. Experienced in software development life cycle in all phases. Developed complex reports, visualizations, dashboards & supported the existing reports using SQL Server Reporting Services (SSRS) & Power BI based on the end user requirements. Designed, developed & implemented reporting & dashboard solutions using SSRS and Power BI. Performed data modelling using Power Query in Power BI. Good knowledge in M query language to process data in Power BI Editor. Building & deploying complex, scalable SSIS packages for ETL & data processing from multiple source systems. Experienced in Developing Tableau visualizations and dashboards using Tableau Desktop. Experienced in defining queries, generating drill-down report in Crystal Reports. Experience in using various sources to pull data into Power BI such as Oracle, SQL Server, Teradata, SQL Azure, etc. Experience in working with SSAS in creating cubes, data source views, named queries, dimensions and deploying of analysis services projects. Adept in creating Ad-hoc, Crosstab, Drill-down and Sub-Report using RDL. Experienced in creating many complex SSIS packages with complicated transformations. Experienced in creating Jobs, Alerts, SQL Mail Agent, Scheduling packages. Expertise in writing complex DAX functions in Power BI. Experience in Microsoft Azure Cloud Computing. Delivered BI reporting solutions in Power BI, Reporting Services (SSRS), and Tableau. Very proficient in working with large Databases - DB2, Oracle, Teradata. Hand on experience in developing & deploying Cubes using SQL Server Analysis Services involving multidimensional data. Researching and implementing ongoing enhancements in data visualization by detecting trends and patterns to convert raw data into meaningful business insights. Experience in creating PowerApps and in embedding PowerBI reports into salesforce. Experience in generating graphs and reports using ggplot2 package in R-Studio for analytical models. Extensively worked with Azure Blob Storage by loading data into it & connecting to it in Power BI to create reports. Proficiency in scripting languages like Python, and experience with Azure-specific scripting using PowerShell or Azure CLI. Refined complex data from multiple Azure sources like Azure SQL database, Azure HD Insights & Azure Blob Storage & used it to create effective dashboards in Power BI. Extracted & transformed data from huge Azure Data lakes & used that data back in SSRS & Power BI to create wide variety of reports. Strong development skills with Azure Data Lake, Azure Data Factory, Azure Storage Explorer and Azure Databricks. Delivered accessible reports and dashboards fully compliant with WCAG standards, enhancing usability for all end-users and meeting organizational accessibility goals. Experience with Azure transformation projects and Azure architecture decision making Architect and implement ETL and data movement solutions using Azure Data Factory (ADF), SSIS. Experience in Developing Spark applications using Spark - SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing & transforming the data to uncover insights into the customer usage patterns.

Overview

6
6
years of professional experience

Work History

Sr. Power BI Developer

Master Card Company
02.2023 - Current
  • Involved in Analysis, Planning and Defining data based on business requirements and provided documentation
  • Designed Power BI data visualization utilizing cross tabs, maps, scatter plots, pie, bar and density charts
  • Utilized Power Query in Power BI to Pivot and Un-Pivot the data model for data cleansing
  • Provided continued maintenance and development of bug fixes for the existing and new Power BI Reports
  • Experienced in embedding PowerBI reports into salesforce and web page using PowerBI URL parameters
  • Using Git Integration and deployment pipelines to manage full application lifecycles in development, testing, and production workspaces
  • Extensively worked in adding PowerBI reports to GitHub projects
  • Experienced in creating custom visuals in PowerBI using D3.js, R, and Python
  • Developed Power BI reports and Dashboards from multiple data sources
  • Designed and maintained relational and non-relational databases using SQL Server, MySQL, and NoSQL solutions to support dynamic business intelligence workflows
  • Designed and implemented dashboards using UI design principles to ensure user-friendly layouts and optimal data visualization
  • Created Drill Down Reports, Drill Through Report by Region
  • Created workspace and content packs for business users to view the developed reports
  • Experienced in setup and manage PowerBI Premium capacities using PowerBI Admin Portal capacity settings
  • Experienced in creating and managing workspaces using PowerBI Admin Portal workspaces and Tenant Settings
  • Implemented several DAX functions for various fact calculations for efficient data visualization in Power BI
  • Utilized Power BI gateway to keep dashboards and reports up to-date with on premise data sources
  • Experienced in managing users, admins, and groups in the office 365 admin center
  • Experienced in creating and managing PowerBI data gateways using Power Platform admin center
  • Experienced in creating paginated reports using PowerBI Report Builder and in migrating SSRS, Tableau and Cognos reports to PowerBI
  • Experience in building a variety of reporting dashboards by applying the best data extraction, data cleaning, and data visualization methods
  • Experienced in building custom apps using Power Apps as per the business needs and requirements
  • Performed statistical analyses in R, and developed custom visuals in PowerBI using R, experienced with Snowflake data warehouse, and in processing incoming raw data (like JSON files) into consumable tables for analysis
  • Experienced in loading data from various formats including traditional compressed CSVs to semi-structured data such as JSON/XML from Cloud storages like S3 or Azure in Snowflake
  • Created Complex ETL Packages using SSIS to extract data from staging tables to partitioned tables with incremental load
  • Designed and normalized the databases, have written T-SQL Queries and created different objects like Tables, Views, Stored Procedures, User defined functions and Indexes
  • Implemented Event Handlers and Error Handling in SSIS packages and notified process results to various user communities
  • Architect and implement ETL and data movement solutions using Azure Data Factory & SSIS
  • Implemented Copy activity, Custom Azure Data Factory Pipeline Activities for On-cloud ETL processing
  • Created Pipelines in Azure Data Factory using Linked Services, Datasets, Pipeline to Extract, Transform and load data from different sources like Azure SQL, Blob storage and Azure SQL Data warehouse
  • Experienced in creating Event-based triggers in Azure Data Factory, and in setting up Self-hosted Integration runtime in Azure Data Factory to connect On-Premises SQL Server
  • Created data integration and technical solutions for Azure Data Lake Analytics, Azure Data Lake Storage, Azure Data Factory, Azure SQL databases and Azure SQL Data Warehouse for providing analytics and reports for improving marketing strategies
  • Used various Spark Transformations and Actions for cleansing the input data
  • Implemented Spark using Scala and Spark SQL for faster testing and processing of data
  • Responsible in performing sort, join, aggregations, filter, and other transformations on the datasets using Spark
  • Working with different teams, management, and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization
  • Experience in extracting appropriate features from data sets to handle bad, null, partial records using Spark SQL
  • Analyzed the SQL Scripts and designed the solution to implement using PySpark
  • Created, provisioned different Databricks clusters, notebooks, jobs and auto-scaling
  • Implemented Spark using Scala and Spark SQL for faster testing and processing of data
  • Provides value through insights, reporting and data visualization techniques
  • Selects, configures, and implements analytics solutions for consistency and repeatability
  • Data sources are extracted, transformed and loaded to generate CSV data files with Python programming and SQL queries
  • Worked on data pre-processing and cleaning the data to perform feature engineering and performed data imputation techniques for the missing values in the dataset using Python
  • Used Copy Activity in Azure Data Factory to copy data among data stores located on-premises and in the cloud
  • Environment: MS SQL Server 2017/2016/2014, SQL Server Management Studio, Business intelligence development studio (BIDS), SQL Server Integration Services (SSIS), SQL Server Analysis Service (SSAS), Snowflake, Power BI Desktop, PowerBI Service, PowerBI Pro, PowerBI Premium, PowerApps, PowerBI Report Builder, DAX, PowerBI Admin, PowerBI Mobile, Tableau Desktop, Tableau Prep, Tableau server, Jupyter, T-SQL, Visual Studio 2017, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Data Factory, U-SQL, Python, R, R Studio, Apache Spark, Scala, Azure Databricks, MS Excel

Business Intelligence Developer

Apple Express
05.2020 - 02.2023
  • Translated business requirements into data analysis, data sources and reporting solutions as per business requirement
  • Developed Stored Procedures, Triggers, and SQL scripts for performing automation tasks
  • Created complex SSAS cubes with multiple data partitions to selectively refresh smaller subsets of data to save on processing time in terms of heavy transactional data
  • Involved in designing and developing Tabular models
  • Developed Tabular models with row level security and integrated that to Power pivots and Power Views
  • Designed Tabular models to hold data which can be easily used for generating power views
  • Developed data visualizations of large amounts of data that facilitate the intuitive presentation of data to decision makers
  • Created business critical KPIs using SSAS representing aggregations in several ways - hierarchically and using custom groupings that the company will use to analyze performance
  • Created and deployed cubes in star and snowflake schema
  • Performed and worked with dimensions, measures, MDX queries
  • Designed Power BI data visualization utilizing cross tabs, maps, scatter plots, pie, bar and density charts
  • Scheduled Automatic refresh and scheduling refresh in Power BI service
  • Expertise in writing complex DAX functions in Power BI
  • Developed Power BI reports and dashboards from multiple data sources
  • Experienced in building custom apps using Power Apps as per the business needs
  • Managed and analyzed large datasets including DAD (Discharge Abstract Database), NACRS (National Ambulatory Care Reporting System), and NRS (National Rehabilitation Reporting System) to support healthcare analytics and reporting needs
  • Collaborated with finance and HR teams to develop data models, build dashboards, and generate reports that supported budgeting, resource allocation, and workforce planning
  • Proficiency in applied statistics and quantitative modeling, including techniques like regression analysis, survival analysis, segmentation, experimentation, and occasional use of machine learning when needed
  • Developed efficient queries, optimized database performance, and ensured data integrity across PostgreSQL and Oracle environments
  • Experienced in managing user access to workspaces in PowerBI
  • Created Drill Down Reports, Drill Through Report by Region
  • Wrote calculated columns, Measures queries in Power BI desktop to show good data analysis techniques
  • Expertise in Power BI, Power BI Pro, Power BI Mobile
  • Created Azure Data Storage accounts within the ADF (Azure Data Factory) for storing the big data inside the cloud
  • Configured Azure SQL database with Azure storage Explorer and with SQL server
  • Create linked services to connect to Azure Storage, and on-premises SQL Server
  • Designed and implemented database solutions in Azure SQL Data Warehouse and Azure SQL
  • Performed and fine-tuned Stored Procedures and SQL Queries and User Defined Functions
  • Created SQL Server jobs and scheduled them to load data periodically using SQL server Agent
  • Developed ETL Packages using SQL Server 2014 Integration services (SSIS) to populate data from different sources like flat files/CSV Files to the staging databases
  • The packages created included a variety of transformations like Look up, Aggregate, Derived column, Conditional split, Multicast, Execute SQL Task, Term Extraction, Data Conversion etc
  • Environment: MS SQL Server 2017/2016, SQL Server Management Studio, Business intelligence development studio (BIDS), SQL Server Integration Services (SSIS), SQL Server Analysis Service (SSAS), PowerBI Desktop, PowerBI Service, Power BI Pro, Power BI Mobile, DAX, Tableau, T-SQL, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Data Factory, Visual Studio 2017, Microsoft Azure, MS Access, MS Excel

Business Intelligence Developer / ETL Analyst

Airgate Technologies
08.2018 - 05.2020
  • Organized meetings to gather business requirements from business users
  • Designed the logical model with Erwin based on business requirements
  • Maintained data integrity with the creation of constraints &DML triggers
  • Designed & developed ETL jobs or extracts to pull the data from multiple sources required for the Visualizations
  • Tuned ETL code & reports to the optimum performance possible
  • Created tables, stored procedures, views, indexes, Triggers, Constraint, temporary tables & user-defined data types & functions using T-SQL
  • Designed & deployed SSAS multi-dimension cubes used in analytic research & report generation
  • Created a multitude of reports using Power BI desktop with a variety of visuals such as charts, tables, slicers, gauges
  • Wrote DAX expressions to create new measures, calculations per business requirements
  • Implemented row-level security & groups to restrict data access in Power BI reports
  • Well versed in building & deploying reports/dashboards using SSRS and Power BI
  • Integrated custom visuals based on business requirements in Power BI Desktop
  • Utilized Power BI gateways to configure data refresh of Power BI data models
  • Optimized reports with modifications to embedded queries and/or stored procedures
  • Generated on-demand & scheduled reports with SSRS for business analyses & managerial decisions
  • Utilized the PBI interface to organize reports, data sources, schedule report executions, & track report history
  • Collaborated with other team members utilizing TFS
  • Conducted JRD meetings to gather business requirements from business users & SMEs
  • Designed & optimized complex stored procedures to perform data profiling & auditing in the pre-staging database
  • Formulated stored procedures to perform index maintenance & data profiling for loading data marts & generating report datasets
  • Created stored procedures & functions to implement the business logic for interfacing with parameterized reports
  • Defined data sources & data source views for OLAP cubes utilizing SSAS
  • Utilized SSRS & Power BI to amplify data visualizations with interactive sharing, collaboration, & data management
  • Created complex measures, calculated columns, calculated tables using Data Analysis Expressions (DAX)
  • Configured parameters & functions to extract data from Web APIs within Power BI reports
  • Implemented data blending, groups, calculated fields, & aggregated fields to analyze data in Power BI
  • Utilized Power BI gateways to configure data refresh of Power BI data models
  • Created Pipelines in Azure Data Factory (ADF) using Linked Services/Datasets/Pipeline/ to Extract, Transform, and load data from different sources like Azure SQL, Blob storage, Azure SQL Data warehouse, write-back tool and backwards
  • Developed JSON Scripts for deploying the Pipeline in Azure Data Factory (ADF) that process the data using the SQL Activity
  • Performed troubleshooting of performance issues that were associated with Power BI reports
  • Published sub, drill-down, summary, & matrix reports in SSRS
  • Prioritized & managed work items, tasks as per stack ranks on Team Foundation Server (TFS)
  • Environment: Power BI, DAX, Power Query, SQL Server 2019, SSDT, SSAS, SSRS, T-SQL, Erwin, MS Excel, TFS, DTA, SSMS, SQL Profiler, MS Azure

Skills

  • Teradata
  • Jupyter
  • Eclipse 42
  • SAS
  • UML Rational Rose
  • Visio
  • MS Word
  • MS Excel
  • MS Access
  • MS Project
  • Windows
  • Linux
  • Unix
  • C
  • Python
  • UML
  • Visual C 60
  • VB 60
  • C#Net
  • VBNet
  • T-SQL
  • PL/SQL
  • TSQL
  • U-SQL
  • SQL profiler
  • R programming
  • Java EE
  • MS SQL Server 2017/2016/2014/2012/2008R2/2008
  • Oracle 10g/9i/8i
  • MYSQL
  • IBM DB2
  • MongoDB
  • Agile
  • Waterfall
  • Scrum
  • IBM Web Sphere 61
  • JBoss 32x
  • Apache Tomcat 60
  • Microsoft IIS 60
  • SSRS 2012/2008
  • Crystal Reports XI/X/9/8
  • Power BI
  • Excel
  • QlikView
  • Tableau
  • HTML
  • XML
  • JavaScript
  • Angular JS
  • PHP
  • Shell Scripting
  • JQuery
  • SOAP 12
  • REST 20

Timeline

Sr. Power BI Developer

Master Card Company
02.2023 - Current

Business Intelligence Developer

Apple Express
05.2020 - 02.2023

Business Intelligence Developer / ETL Analyst

Airgate Technologies
08.2018 - 05.2020

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Kiran Annavarapu