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Sr. Data Analyst - Data Engineer Resume


  • 9+ years of industry experience with solid understanding of Data Modeling, Evaluating Data Sources, and strong understanding of Data Warehouse/Data Mart Design, ETL, BI, Data visualization, OLAP, Client/Server applications.
  • Accomplished various tasks in big data environment which involved Microsoft Azure Data Factory, Data Lake, and SQL server.
  • Excellent in Data Analysis, Data Profiling, Data Validation, Data Cleansing, Data Verification, and Data Mismatch Identification.
  • Experience in different Project Management Methodologies like Traditional waterfall and Agile.
  • Very good experience and knowledge on Amazon Web Services: AWS Redshift, and AWS.
  • Experience in designing Star Schema, Snowflake schema for Data Warehouse, by using tools like Erwin data modeler, Power Designer and Embarcadero E - R Studio.
  • Excellent experience with IBM Ionosphere utilizing MDM, Data profiling and data Modeling.
  • Knowledge in writing, testing, and implementation of the triggers, procedures, functions at database level and form level using PL/SQL
  • Good Knowledge in designing the Data Mart using Ralph Kimball’s and Bill Immon Dimensional DataMart Modeling techniques.
  • Comprehensive knowledge and experience in process improvement, normalization/de-normalization, data extraction, data cleansing, data manipulation.
  • Experience in modeling with both OLTP/OLAP systems and Kimball and Immon Data warehousing environments.
  • Extensive experience in development of T-SQL, DML, DDL, DTS, Stored Procedures, Triggers, Sequences, Functions and Packages.
  • Experience in Data Profiling, Analysis by following and applying appropriate database standards and processes, in definition and design of enterprise business data hierarchies.
  • Experience in extracting, transforming and loading (ETL) data from spreadsheets, database tables and other sources using Microsoft SSIS.
  • Excellent knowledge in designing and developing dashboards using QlikView by extracting the data from multiple sources.
  • Experience in Data Transformation and Data Mapping from source to target database schemas and also data cleansing.
  • Strong understanding of Data Modeling(Relational, dimensional, Data analysis, implementations of Data warehousing using Windows and UNIX.
  • Strong experience in using Excel and MS Access to dump the data and analyze based on business needs.
  • Performed Business Requirement Gathering and Analysis, Feasibility study, ROI Analysis, Process Flow and Process Modeling, Functional and Techno-Functional Gap Analysis of existing system. working with offshore/onsite model
  • Managed development and testing teams to keep deliverables on track and reported to stakeholders.
  • Ability to learnquickly.


  • SQL,PLSQL(Analysis purpose), UNIX Shell commands, AWK commands, HIVEQL, Python(Pandas, numpy, Matplotlib, Randometc).
  • Oracle 10g,11g, Teradata E12, MS SQL Server 2005/2008/2013/2014/2016 , MS Access, DB2, Azure Data Lake, Mainframes(Novice), Cassandra, Dynamo DB, Mongo DB
  • IBM Data Stage8.7,Informatica 8.1
  • COGNOS, Qlikview, PowerBI, Adobe analytics
  • Erwin r9.64, IBM Data Studio 4.1.1, ER studio 9.6.1,16
  • Ambari, Toad, SQL Assistance, Teradata SQL assistance, OracleSQL developer 4.1.1,Jupyternotebook,Anaconda, GIT bash
  • Informatica IDQ 9.0,Open refine, ACRI, Lynx(fraud system), JIRA



Sr. Data Analyst - Data Engineer


  • Performed complex data analysis in support of ad-hoc and standing customer requests
  • Designed and developed automation test scripts using Python.
  • Worked with Systems Development Life Cycle (SDLC)/ Software as a Service (SaaS) delivery models.
  • Designed and implemented secure data pipelines into a Snowflake data warehouse from on-premise and cloud data sources
  • Implemented Data Lake in Azure Blob Storage, Azure Data Lake, Azure Analytics, Data bricks Data load toAzure SQL Data warehouse using Polybase, Azure Data Factory
  • Designed and implemented effective Analytics solutions and models with Snowflake.
  • Queried and analyzed data from Cassandra for quick searching, sorting and grouping
  • Involved in Data profiling, Data analysis, data mapping and Data architecture artifacts design.
  • Extensively created data pipelines in cloud using Azure Data Factory.
  • Worked with Azure Data Factory (ADF) since its a great SaaS solution to compose and orchestrate Azure data services.
  • Wrote python scripts to parse XML documents and load the data in database.
  • Used Erwin Data Modeler tool for relational database and dimensional data warehouse designs.
  • Designed data pipelines using Azure Data Factory, IBM DataStage / Infosphere, Azure Copy, Polybase, Multi region data replication
  • Involved in complete SSIS life cycle in creating SSIS packages, building, deploying and executing the packages all environments.
  • Developed MDM integration plan and hub architecture for customers, products and vendors, Designed MDM solution for three domains.
  • Written SQL queries against Snowflake.
  • Implemented Custom Azure Data Factory pipeline Activities and SCOPE scripts.
  • Used DSE SQOOP for importing data from RDBMS to Cassandra
  • Developed reports for users in different departments in the organization using SQL Server Reporting Services (SSRS).
  • Developed and supported on Oracle, SQL, PL/SQL and T-SQL queries.
  • Tested the ETL process for both before data validation and after data validation process.
  • Translated business concepts into XMLvocabularies by designing XML Schemas with UML
  • Created Reports for marketing analytics team using Adobe analytics.
  • Worked on creating Ad-hoc reports using SQL server.
  • Actively involved in SQL and Azure SQL DW code development using T-SQL
  • Interacted with stake holders on clearing their doubts regarding the reports in powerBI
  • Created publishing reports for stake holders using powerBI.
  • Analyzed escalated incidences within the Azure SQL database.
  • Worked on the enhancing the data quality in the database.

Environment: Erwin9.8, SQL,SaaS, Cassandra, Azure, XML, SSIS, Python,Oracle12c, SQL, PL/SQL, T-SQL, SSRS, MDM, PowerBI, XML.


Sr. Data Analyst/Business /Tech lead


  • Tech lead for sales and performance, Investments, T+1 project, ACRI purging.
  • Owner and SME for all the RFC’s and FTP’s in all projects.
  • Deployed and monitored scalable infrastructure on cloud environment Amazon web services (AWS)
  • Managed development team by receiving the weekly updates.
  • Developed an issue log for the projects and worked with management to resolve them.
  • Co-ordinated with testing team and ETL development team for the successful dry run in all the projects.
  • Collaborated with and reported to Platform Manager who directly reported to CIO.
  • Identified the entities and relationship between the entities to develop Conceptual Model using Erwin.
  • Used Agile Method for daily scrum to discuss the project related information.
  • Effectively designed, developed and enhanced cloud-based applications using AWS
  • Performed match/merge and ran match rules to check the effectiveness of MDM process on data.
  • Data sources are extracted, transformed and loaded to generate CSV data files with Python programming and SQL queries.
  • Designed and Developed logical & physical datamodels and Meta Data to support the requirements.
  • Involved in extensive DATA validation using SQLqueries and back-end testing
  • Used AWS Glue to crawl the data lake in S3 to populate the Data Catalog.
  • Wrote SQL queries, PL/SQL procedures/packages, triggers and cursors to extract and process data from various source tables of database.
  • Created SSIS Packages for Incremental Loading and slowly changing dimensions.
  • Developed separate test cases for ETL process (Inbound & Outbound) and reporting.
  • Developed complex T-SQL code such as Stored Procedures, functions, triggers, Indexes, and views for the business application.
  • Used Excel sheet, flat files, CSV files to generated Tableau ad-hoc reports
  • Assisted on requirement gathering and testing of the mobile application.

Environment: Erwin9.8, AWS, Agile, MDM, Python, SQL, PL/SQL, ETL, T-SQL, Tableau.


Data designer /Data Analyst


  • Worked on a migration project which required gap analysis between legacy systems and new systems.
  • Involved in various projects related to Data Modeling, Data Analysis, Design and Development for both OLTP and Data warehousing environments.
  • Worked on Data lake in AWS S3, Copy Data to Redshift, Custom SQL’s to implement business Logic using Unix and Python Script Orchestration for Analytics Solutions.
  • Worked at conceptual/logical/physical data model level using Erwin according to requirements.
  • Involved in requirement gathering and database design and implementation of star-schema, snowflake schema/dimensional data warehouse using Erwin.
  • Performed and utilized necessary PL/SQL queries to analyze and validate the data.
  • Reviewed the Joint Requirement Documents (JRD) with the cross functional team to analyze the High Level Requirements.
  • Designed and developed T-SQL stored procedures to extract, aggregate, transform, and insert data.
  • Worked with the Reporting Analyst and Reporting Development Team to understand Reporting requirements.
  • Used forward engineering approach for designing and creating databases for OLAP model
  • Used Teradata utilities such as Fast Export, MLOAD for handling various tasks
  • Developed, and scheduled variety of reports like cross-tab, parameterized, drill through and sub reports with SSRS.
  • Developed SQL scripts for loading data from staging area to confidential tables and worked on SQL and SAS script mapping.
  • Implemented systems that are highly available, scalable, and self-healing on the AWS platform.
  • Worked on data analysis, data profiling, source to target mapping, Data specification document for the conversion process.
  • Worked with system architects to create functional code set cross walks from source to target systems.
  • Wrote ETL transformation rules to assist the SQL developer.
  • Periodically interacted with Business and the Configuration teams to gather requirements, address design issues and made data driven decision and proposed solutions.
  • Performed component integration testing to check if the logics had been applied correctly from one system to other system.
  • Maintained the offshore team for the updates and project required details.

Environment: Erwin, T-SQL, OLTP, AWS, PL/SQL, OLAP, Teradata, SQL, ETL, SAS, SSRS.

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