Summary
Overview
Work History
Education
Skills
Timeline
Generic

VENKAT P

Newcastle

Summary

Around 5years of experience in Software Design, Database Design, Development, Integration Implementation and maintenance of Business Intelligence and the related Database Platforms.

  • Strong Experience in SQL Server and SSIS, SSAS, SSRS experience in data visualizations and report development with Power BI.
  • Hands on experience in installing, configuring, managing, upgrading, and migrating, monitoring, and troubleshooting SQL Server 2019/2016/2014/2012.
  • Experience in using tools like Database engine tuning advisor, SQL Profiler, and Windows Performance Monitor for Monitoring and Tuning MS SQL Server Performance.
  • Experienced in writing the MDX queries to develop the Key Performance Indicator (KPI) Objects, Calculated Members, and Actions and to get the data from the OLAP cube for the reporting purpose.
  • Skilled in Data warehousing tools, Data Mapping, Unit Testing, Migration, Conversions, and Process Documentation.
  • Created calculated columns and measures in Power BI and Excel depending on the requirement using DAX queries.
  • Experience stored procedures for generating reports using SQL Server Reporting Services (SSRS), Crystal Reports.
  • Experience in creating Power BI Dashboards (Power View, Power Query, Power Pivot, Power Maps).
  • Created custom calculated measures using Power BI DAX language to meet the business needs.
  • Experience of a range of data processing languages and systems, including Oracle PL/SQL, SQL Server T-SQL, MySQL, and PostgreSQL.
  • Experience in Microsoft Integration Services like SSIS(Control Flow tasks, Data Flow tasks, Transformations, Database administration tasks).
  • Hands on in Designing, maintaining and building Cubes, Dimensions, and Data source views, data mining Models, Deployment and Processing using SSAS.
  • Experience of designing and refining T-SQL stored procedures, functions, triggers, and views for effective data loading, transformation, and extraction methods.
  • Experience in analyzing business user requirements, analyzed data and designed software solutions in Tableau Desktop based on the requirements.
  • Developed and maintained tables, indexes, stored procedures, views, triggers and other objects utilizing the latest DML and DDL syntax.
  • Automated various Power BI related jobs using Power Shell activities.
  • Experience in RDBMS Concepts, Database Management Systems, Database Physical and Logical design, Data Mapping, Table normalization, Data Modeling.
  • Hands on Experience in Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database and Azure SQL Data warehouse and Controlling and granting database access and Migrating On premise databases to Azure Data lake store using Azure Data factory.
  • Gained knowledge of how to automate the build, test, and deployment processes for software projects needing continuous integration and delivery (CI/CD) using Jenkins and Azure DevOps.
  • Experience in data warehousing dimensional modeling to define dimensions and fact tables using Star schema and Snowflake schema design.
  • Experience one-time data migration of multistate level data from SQL Server to Snowflakewas implemented using Python and Snow SQL.
  • Have knowledge Apache Spark's capacity to manage vast volumes of data and deliver insights, it is capable of processing and analyzing enormous amounts of data using Scala and PySpark.
  • Knowledge on utilizing essential MapReduce, YARN, Hive, HBase, Flume, Sqoop, PySpark, Spark, SQL, and Kafka components of the Hadoop ecosystem to create and implement enterprise-based applications.
  • Developed Python script to for processing large data sets and also to extract data from different files.
  • Developed on how to manage projects, processes, custom fields, dashboards, and reports using JIRA.
  • Experienced in all facets of Software Development Life Cycle (Analysis, Design, Development, Testing and maintenance) using Waterfall and Agile methodologies.

Overview

4
4
years of professional experience

Work History

SQL/ Data Analyst

Company: NTT Data Global Client: Citi Bank
08.2021 - Current
  • Created complicated T-SQL queries, stored procedures, and SSIS packages and maintaining/modifying them to load data into a warehouse.
  • Design and normalize the databases and created different objects like tables, views, Stored Procedures, UDF’s, indexes rules and defaults on MS SQL server.
  • Experience in developing ETL packages with the different sources as Flat Files, Excel, Text files, and XML files and migrating the data into destination using SQL Server Integration Services (SSIS).
  • Designed and developed Power BI graphical and visualization solutions with business requirement documents and plans for creating interactive dashboards.
  • Designed complex SSAS solutions using multiple dimensions, perspectives, hierarchies, measures groupsand KPIs to analyze performance of Strategic Business Units as well as corporate centers.
  • Experience in Logical modeling using the Dimensional Modelling techniques such as Star Schema and Snow Flake Schema
  • Created custom calculated measures using Power BI DAX language to meet the business needs. Published Power BI Desktop reports created in Report view to the Power BI service.
  • Responsible for optimizing queries which take longer time in execution with SQL Server 2016/2012.
  • Developed Reports, Sub Reports, Parameterized reports, drill down reports and various features using SQL Server Reporting Services (SSRS).
  • Installed and Configured Enterprise Gateway and Personal Gateway in Power Bi Services.
  • Developed Data Source, Data Source View to create a logical view of the data to be placed in OLAP Cubes using SQL Server Analysis Services (SSAS) projects.
  • Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks.
  • Created Pipelines in 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.
  • Used incredibly complex, sophisticated SQL queries that supplied Tableau visuals, large data sets were extracted from the Hive data warehouse.
  • Used SQL, Python, and PySpark, worked Data bricks notebooks were generated, and automated notebooks were made using tasks.
  • Worked on track record of modifying Jira projects with a wide range of schemes, complex processes, flows, authorization schemes, and notification schemes.
  • Actively applied Agile Methodology practices for development of the Microsoft reporting environment

Data Analyst

Company: Inter Global Technologies Client: ANZ Ban
11.2019 - 08.2021
  • Designed, developed, modified and enhanced the database structures and database objects. Data warehouse and data mart designs efficiently support BI and end user requirements
  • Developed logical and physical data models, design data access strategies and write SQL code to access and manipulate data stored in databases.
  • Experience on using Report Designer and Report Builder in Microsoft SQL Server 2012/2008/2005 Reporting Services (SSRS), good report design skills.
  • Created custom T-SQL procedures to read data from flat files to dump to SQL Server database using SQL Server import and export data wizard.
  • Deployed reports created report schedules and subscriptions. Managing and securing reports using SSRS.
  • Scheduled the Dashboards refresh, published and maintained the data sources and reports in the Tableau Server.
  • Good knowledge on Data Modelling and Data Mining to model the data as per business requirements.
  • Design, deployment, and maintenance of various SSRS Reports in SQL Server. Involved in migration and conversion of Reports from SSRS 2008 to 2014.
  • Extensive experience with Snow-Flake Modeling, FACT & Dimension Tables, Physical and Logical Data Modeling, Star Schema Modeling, and Data Warehouse.
  • Used SSIS packages were developed to import data into SQL Server from flat files, Excel files, and OLEDB. Developed a multi-dimensional database and OLAP cube using SSAS that stored and maintained the data.
  • Primarily involved in Data Migration using SQL, SQL Azure, Azure storage, and Azure Data Factory, SSIS, Power Shell.
  • Developed a method for importing and exporting data into a Hadoop system using Sqoop. Created and loaded data into both partitioned and non-partitioned Hive tables.
  • Involved in migrating Tableau reports to PowerBI with multiple data sources like Salesforce and web portals.
  • Created Spark programs for personalized data collecting, transformation, and validation. The Hadoop ecosystem in PySpark was developed in collaboration with Amazon EMR and Data bricks.
  • A Python script was created to process big data sets and to extract data from various files.
  • Used JIRA as a sprint tracking platform, followed the Agile process, and took part in daily SCRUM meetings, sprint planning, showcases, and retrospective.

Education

Master of Science - Computer Science

North Umbria University
Newcastle
01.2023

Skills

  • Big data Technologies: Spark, Spark SQL, Kafka, PySpark, Pig, Hive, Sqoop, Map Reduce, Hadoop
  • Reporting Tool: SQL Server Reporting Services (SSRS), Power BI, Tableau, Excel Power Query, Power Pivot, Power View and Power Maps
  • Data Modeling Tool: Power BI Data Models Erwin, Microsoft Visio
  • Languages: T-SQL, PL SQL, Python, Spark SQL
  • RDBMS: MS SQL Server 2016/2014/2012/2008
  • Programming: SQL, DAX, MDX
  • Operating Systems: Unix, Linux, Windows
  • SDLC: Agile Waterfall, Scrum

Timeline

SQL/ Data Analyst

Company: NTT Data Global Client: Citi Bank
08.2021 - Current

Data Analyst

Company: Inter Global Technologies Client: ANZ Ban
11.2019 - 08.2021

Master of Science - Computer Science

North Umbria University
VENKAT P