NAGA SANDEEP KANAMARLAPUDI
Business Intelligence
Narasaraopet, AP, 522601
********************@*****.***
https://www.linkedin.com/in/kanamarlapudi-sandeep-ob47a3204 Experienced in Business Intelligence with over 4 plus years by using Business Intelligence Tools and Cloud platform. Excellence in trouble shooting, resolving problems, and improving the customer satisfaction. Skills
• MS SQL Server
• SQL Server Integration Services (SSIS)
• SQL Server Reporting Services (SSRS)
• Power BI
• Azure SQL Server
• Azure Data Factory
• Basics of C Programming
• Agile process
Work History
Aug-2016 – Current Software Developer
Tata Consultancy Services, Chennai,Tamil Nadu
Responsibilities:
• Improving the SQL queries Performance by determining root cause of issues and resolving.
• Developing, implementing the optimized Stored Procedures and Functions using T-SQL.
• Supporting multiple concurrent projects enabling delivery efficiencies and technical resolution.
• Investigating the existing T-SQL queries to identify the opportunities for improvements.
• Designing and implementing the T-SQL queries for reporting and complex solution development.
• Creating, monitoring, trouble shooting and fixing the SQL Server Agent Job’s and sending the Email notification when there is a Job failure/success.
• Creating and granting Read/Write access to new/existing User’s to the servers.
• Developing End-To-End Optimized ETL Solutions to load data from wide range of Sources like Excel, flat files, SQL DB to various Destinations like SQL DB, Excel, flat files.
• Updating the Code into GitHub repositories on daily basis.
• Migrating the existing Data Warehouse from On-Premises to Azure SQL DB by using ADF.
• Creating the SSRS reports in a particular standard template to meet the Customers requirement.
• Creating the wide range of SSRS Subscriptions.
• Creating Reports and Dashboards in Power BI Desktop and publish to Power BI Service.
• Sending the Email notifications by using Azure Logic Apps.
• Develop End-To-End process by using Azure Data Factory to meet Customer requirement.
• Developing, monitoring, and triggering the Pipelines in Azure Data Factory. Education
2012 – 2016 B.Tech: Electronics and Communications Engineering. (8.9 CGPA) Bapatla Engineering College,Bapatla, AP.
2010 – 2014 Intermediate: Maths Physics Chemistry (MPC). (98.3 %) Educare Junior College, Narasaraopet, AP.
2009 – 2010 Secondary School (92.6%)
Sindhu High School, Narasaraopet, AP.
Additional Information
• Worked in the SSRS Migration Project.
• Worked in End-To-End Data Warehouse Migration Project from On-Premises to MS Azure SQL DB.
• Expertise in trouble shooting and fixing the SQL Server Agent Jobs.
• Building the Data Warehouse using Data Vault and Data Mart Model.
• Creating the Health check and Variance SSRS report to identify the Accuracy of the data flow.
• Create Indexes to optimize the SQL queries.
• Develop the complex SQL queries / Stored Procedures / Functions to meet the requirements.
• Expertise in creating the Azure SQL Data Warehouse by using ADF with a smaller number of pipelines to make less operational cost (OPEX).
• Following standard practices for migrating changes to Test, Pre-Production, and Production environments and providing the support to meet business requirements.
• Manged workload independently and collaborated with colleagues to complete large scale tasks in distributed team environment.
Projects
• Migrate Data Warehouse from On-premises to cloud Azure SQL DB Role: Cloud Data Engineer
Description: This project contains different stages of loading data as follows: 1. On-Premises to Azure Pre-Stage and blob Storage. 2. Azure Pre-Stage to Azure Stage.
3. Azure Stage to Azure Data Warehouse.
Responsibilities:
• Migrated Data Warehouse using a smaller number of pipelines.
• Achieved all the above stage loads by using only single configuration table.
• Developed SSRS Health check report to track the data accuracy and duration of each stage load on daily basis.
• Implemented the Purge process to delete the data older than 2 years.
• Developed the Variance report to identify the data accuracy between Source and Destination.
• Implemented the Email service to send Success/Failure emails to the team by using Azure Logic Apps.
• Scheduling the Pipeline Trigger’s on daily, weekly, and monthly basis.
• Created the Post Data Load Pipelines to send the Flat files, CSV files to the Customer Share folder after completion of daily End-To-End load process.
• Implemented the Generic / Backfill pipelines to load data for desired date range.
• Implemented the weekly and monthly jobs to catchup any missing data.
• Creating SSRS reports on top of Azure SQL DW.
Environment: SQL Server, Azure SQL Server, SSIS, Azure Data Factory, Azure Logic Apps, SSRS.
• Migrate 2012 SSRS reports to 2016 SSRS reports
Role: Business Intelligence Developer
Description: This Project is to migrate 2012 SSRS reports from one server to 2016 SSRS reports from another server.
Responsibilities:
• Analysing the existing report datasets and migrate the SQL queries to use destination servers in an optimized way.
• Migrate the SSRS reports in a standard format like customer logo, displaying report name,…
• Created different kinds of SSRS subscriptions like sending email notification on nth business day, send email notification only if the report returns data,… Environment: SQL Server, SSRS, Report Builder, Power BI Report Builder, Power BI
• Develop On-premises Data Warehouse
Role: Business Intelligence Developer
Description: Developing the Data Warehouse by using Data Vault and Data Mart Model. Responsibilities:
• Adding new tables to the Data vault and Data Mart.
• Updating the SSIS ETL solution as per the requirement.
• Monitoring, trouble shooting and fixing SQL Server Agent Jobs.
• Created complex stored procedures, Functions to meet customer requirements.
• Adding New User’s and granting Read/Write access to the Databases.
• Created SSRS, Power BI reports on top of the Data Mart. Environment: SQL Server, SSIS, SSRS, Power BI
Certifications
• Hacker Rank 5 Star in SQL
Languages
• English
• Telugu
• Tamil
• Hindi