Summary
Overview
Work History
Education
Skills
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Certification
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Timeline
Generic

Noonsavath Swami

Omaha

Summary

I always want open and clear communication 11+ of IT Experience in Database Design, Development and Business Intelligence of Microsoft SQL Server 2016/2014/2012/2008 in Development, Test and Production Environments. In-depth knowledge of Database Management (RDBMS) concepts and expert knowledge of designing relational. Experience in ETL Tools like SSIS, Informatica PC , IICS , Azure Data Factory and other tools like Powerbi , sql , ssrs , ssas , azure databricks , python. Experience working with IICS concepts relating to Rest API ,data integration, Monitor, Administrator, deployments, permissions, schedules. Expertise in Informatica Power Center 10.2/10.1/9.5.1/9.0.1/8.6/7.1 extracting data from Oracle, SQL Server, Teradata, DB2 databases, Flat files, Web Services, API's, XML & Json files. Worked with various transformations like Normalizer, expression, rank, filter, group, aggregator, lookups, joiner, sequence generator, sorter, SQLT, stored procedure, Update strategy, Source Qualifier, Transaction Control, Union etc., Expertise in implementing complex Business rules by creating complex mappings/mapplets, shortcuts, reusable transformations and Partitioning Sessions. Experience in Performance Tuning of sources, targets, mappings, transformations and sessions. Designed complex mappings to load into Snowflake & SQL. Expertise in SQL/PLSQL programming, developing & executing Packages, Stored Procedures, Functions, Triggers, Table Partitioning, Materialized Views.Developing, Analysis, Implementation and post implementation support of DWBI applications. Extensive experience on Data Engineering field including Ingestion, Datalake, Datawarehouse, Reporting and Analytics. Strong knowledge and experience on Data Analysis, Data Lineage, Big Data pipelines, Data quality, Data Reconciliation, Data transformation rules, Data flow diagram including Data replication, Data integration and Data orchestration tools. Solid Experience and understanding of Implementing large scale Data warehousing Programs and E2E Data Integration Solutions on Snowflake Cloud, Informatica Intelligent Cloud Services (IICS - CDI) & Informatica PowerCenter integrated with multiple Relational databases (MySQL, Teradata, Oracle, Sybase, SQL server, DB2) Knowledge and experience on HIVE, azure databricks , event hub data , pyspark ,kafka. Hands on Experience on Python programming for data processing and to handle Data integration between On-prem and Cloud DB or Datawarehouse. Managed SQL Server instances, including installation, configuration, and maintenance, ensuring optimal performance and availability. Designed and implemented database schemas, tables, and indexes, optimizing for performance and scalability. Tuned SQL queries and optimized database performance, reducing query execution time and improving overall system efficiency. Implemented backup and recovery strategies, including full, differential, and transaction log backups, ensuring data integrity and disaster recovery readiness. Excellent knowledge in creating Databases, Tables, Stored Procedure, DDL/DML Triggers, Views, User defined data types, user-defined functions (UDFs), Common table expressions (CTEs). Experience in developing BI applications utilizing SQL server, BI stack, Power BI. Expertise in writing complex DAX functions in Power BI and Power Pivot. Have very good experience administering the Teradata database, Data Modelling and ETL. Cursors, relational database models, data dictionaries, and maintaining data integrity and indexes using T- SQL. A strong understanding of the SQL catalog is essential for effective database management. It involves knowing the structure and organization of the catalog, including tables, views, indexes, stored procedures, and other database objects. Involved in Creating and Updating database objects like tables, views, stored procedures, function, and packages. Worked on data extraction, data integration and loading from different data sources using SQL Server Integration Services (SSIS). Utilized Power BI (Power View) to create various analytical dashboards that depict critical KPIs such as legal case matter, billing hours and case proceedings along with slicers and dicers enabling end users to make filters. Efficiently used Data Flow Tasks such as Excel Source, Flat File Source, OLE DB Source, Data Conversion, Lookup, Aggregate, Audit, Multi Cast, OLE DB Command, Sort, Union All, and Copy Column, Derived Column, cleaning bad data, Validation of data using Derived Column, Row Count, Excel Destination, Flat File Destination, OLE DB Destination, Raw File Destination, SQL Server Destination, Record Set Destination of the integration services (SSIS). Implemented Power BI gateway different source to match analysis criteria and further modeling for Power query and Power View. Created various SSRS Reports involving a variety of features like Charts, Filters, Sub-Reports, Drill Down, Drill- Through, Multi-valued parameters, and also understanding of the Tablix control and Dashboard reporting, Share Point with Power View tool etc. Created reports in Power BI preview portal utilizing the SSAS Tabular via Analysis connector. Extensive experience in leveraging Azure Data Factory (ADF) for designing, orchestrating, and automating cloud-based ETL solutions. Successfully integrated ADF with various Azure services, including Azure Storage, Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics, ensuring seamless data integration across the Azure ecosystem. Experience in both on-prem and cloud solutions. Extensive experience with Microsoft Azure ecosystem such as: Power BI Service, ADF2, Azure SQL Server, Azure SQL IaaS/SaaS/PaaS, Azure SQL DW, Azure Blob, AKV Management. Also, hands-on Experience in Data Conversion and Data Migration using SSIS and DTS services across different databases like Oracle, MS access and flat files. Good Experience in working with APIs to access specific database features. Experience in maintenance and Administration of SSIS by creating Jobs, Alerts, SQL Mail Agent, and schedule DTS/SSIS Packages. Hands-on experience with Azure Data Factory V2, Data Flows, Snowflake, Azure Data Lake, Azure analysis services. Extensive experience in developing POWER BI reports, Power BI Dataflows,KPI Scorecards and dashboards from multiple data sources of BI (Online MPP, Azure Kusto, Web API, SharePoint Excel, SQL DB, SAP BW etc.) Worked on challenging scenarios, from which I learnt Power automate, Power apps, R-Script, using of Custom Connectors. Worked on On-Premises Gateway to refresh the data sources/creating a live connection with Tabular SSAS. Used various Default visuals (Table, Matrix, Bar, Pie, Card, Gauge, Slicer, Charts, Maps etc.) visualizations. Worked on Custom Visualizations like multi slicer, Timeline Storyteller, Infographic Designer, Scroller and Hierarchy slicer. Worked on AI Visuals like Decomposition Tree, Q & A and Key influencers, also on Python & R visuals. Worked on DAX expressions like Calculated Column and Measure, filters, Aggregate, Mathematical Functions etc. and used Connectivity modes (Import, Direct query & Live connections). Proficient in Data modeling (Transform operations like Pivot, Unpivot, Merge, append, Trim, Split, Transpose) and adding Custom, conditional, index column in query editor using M language too. Experience in Dimensional Modeling, Designing of STAR, SNOWFLAKE Schema’s and used composite model in Projects. Managed Team of 14+ members.

Overview

15
15
years of professional experience
1
1
Certification

Work History

Data Engineer

Apex Systems
Omaha
11.2024 - 01.2026
  • Designed, developed, and deployed scalable ETL solutions using Informatica Intelligent Cloud Services (IICS) to support enterprise analytics and reporting.
  • Migrated legacy Informatica PowerCenter workflows to IICS, refactoring mappings and workflows to align with cloud-native best practices.
  • Developed and optimized IICS mapping tasks, taskflows, and parameterized workflows for multi-environment deployments (DEV/QA/PROD).
  • Built and orchestrated end-to-end data pipelines using Azure Data Factory (ADF) integrated with IICS for cloud-based data ingestion and transformation.
  • Implemented robust error handling, logging, and recovery mechanisms within IICS and ADF pipelines to ensure high reliability.
  • Executed data migration from Azure Databricks and SQL Server to Snowflake, ensuring data integrity and performance optimization.
  • Optimized ETL performance using Apache Spark and Python, reducing processing time and improving scalability.
  • Leveraged Snowflake (SQL & ASQL) for efficient data loading, transformation, and creation of optimized table views.
  • Developed automated data quality validation checks to ensure accuracy, completeness, and consistency of enterprise datasets.
  • Ingested and processed data from REST APIs, handling pagination, schema drift, and error scenarios efficiently.
  • Configured and managed IICS Secure Agents and connectivity across on-prem and cloud data sources.
  • Implemented pushdown optimization and partitioning strategies to improve ETL performance.
  • Orchestrated enterprise batch workflows using JAMS Scheduler, managing dependencies, SLAs, and failure notifications.
  • Designed dependency-driven job schedules in JAMS to coordinate IICS, ADF, and Snowflake processes.
  • Collaborated with cross-functional teams to translate business requirements into scalable cloud data solutions.
  • Monitored production pipelines, analyzed logs, and performed root-cause analysis to resolve data and performance issues.
  • Documented ETL workflows, migration strategies, and operational procedures to support maintainability and knowledge transfer.

Snowflake/ETL / Power BI Developer

Bellevue University
Bellevue, NE
03.2024 - 11.2024
  • Used IICS for automating the extraction of data from multiple on-premise sources (SQL Server, Oracle, and flat files) and integrating it into Snowflake.
  • Designed and developed ETL pipelines using Informatica PowerCenter to transform the data as per business rules before loading into Snowflake.
  • Leveraged Snowflake features such as clustering, time travel, and cloning to optimize data storage and retrieval processes, ensuring high performance and scalability.
  • Implemented data quality checks at various stages of the ETL process to ensure accuracy, completeness, and consistency of the data in Snowflake.
  • Developed Advance PL/SQL packages, procedures, triggers, functions, Indexes and Collections to implement business logic using SQL Navigator. Generated server-side PL/SQLScripts for data manipulation and validation and materialized views for remote instances.
  • Developed custom Power BI visualizations for tracking key performance indicators (KPIs), including headcount analysis, compensation trends, and financial health.
  • Integrated data from multiple sources like SQL databases, Excel, and cloud services, ensuring accurate and up-to-date reporting for finance and HR operations.
  • Optimized data models and implemented DAX calculations to create complex financial and HR metrics, improving decision-making capabilities for department heads.
  • Automated report generation and data refresh processes to provide real-time insights into HR and financial data, reducing manual data handling and improving efficiency.
  • Ensured data security and governance by implementing row-level security (RLS) to restrict access to sensitive financial data based on user roles.
  • Responsible for creating critical test analysis documents and Business Requirement Documents, Functional, Technical documents.
  • Environment :- Power BI , SSMS , IICS , Informatica , Snow flake ,ADF, Jira , Power BI Service, sql search , Azure Active Directory , Azure Devops ( Deployments).

Senior Data Engineer

GE (Healthcare, Oil & Gas, Power, Aviation, Corporate)
09.2014 - 02.2022
  • Designed, created, and implemented database systems based on end-user requirements, ensuring optimal performance and scalability.
  • Improved application performance by optimizing queries, indexing strategies, and caching mechanisms.
  • Involved in Architecting and developing the Azure data factory pipelines by creating the datasets and source and destination
  • Connections to move the data from oracle database to Azure Data Lake Data Lake Store Raw Zone.
  • Created data bricks notebooks using Python(PySpark), Scala and Spark SQL for transforming the data that is stored in Azure Data Lake stored Gen2 from Raw to Stage and Curated zones.
  • Design and develop business intelligence dashboards, analytical reports and data visualizations using power BI by creating multiple measures using DAX expressions for user groups like sales, operations and finance team needs.
  • Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
  • Involved in Configuring and Upgrading the On Premises Data gateway between various Data sources like SQL Server to Azure Analysis Services and Power BI service.
  • Involved in creating the external and internal tables in Azure SQL Datawarehouse and created stored procedures to move the data from external to internal tables.
  • Prepared comprehensive documentation for database applications, including schemas, configurations, and processes, facilitating smooth operations and knowledge transfer.
  • Managed memory resources effectively, optimizing memory usage within the database server for enhanced performance.
  • Developed database schemas, tables, and dictionaries, ensuring data integrity and efficient data storage.:
  • Created the master database with front end and back end capabilities to allow work team to be productive while the database applications were being enhanced or modified. Automation used to import data from collection tools to the Master.
  • Quickly solicited and discerned database requirements from client and end users.
  • Normalized, well-indexed tables and reference tables using standard naming conventions
  • Create data mapping and modeling for data migration.
  • Create end-to-end solution for ETL transformation jobs that involve writing Informatica workflows and mappings.Used various Transformations like Joiner, Aggregate, Expression, Lookup, Filter, Union, Update Strategy, and Router etc. to
  • Implement complex logics while coding a Mapping.Develop Informatica SCD Type-2 Mappings based on the requirements.Test all the mappings and sessions in Development environment
  • Environment :- MS SQL Server 2016/14, MS SQL Server Reporting Services 2016, MS SQL Server Integration Services 2016 (SSIS), MS Visual Studio 2015, SSAS, Power BI, TFS, Service Now, SQL Catalog, Snowflake Data Warehousing Platform,azure data bricks,Python, Py spark,Informatica.

Data Engineer

NBC Universal
01.2011 - 08.2014
  • Created and Implemented triggers in T-SQL to facilitate consistent data entry into the database
  • Created Alerts, Notifications and emails for system errors, insufficient resources, fatal database errors, hardware errors and security violation
  • Designed SSIS packages to Extract, Transfer and Load (ETL) existing data into SQL Server from different environments
  • Implemented Data Cleansing, Incremental Data Loading, Logging, Event Handling and Error Handling
  • Created SSIS Packages using Pivot Transformation, Fuzzy Lookup, Derived Columns, Condition Split, Term extraction, Aggregate, Execute SQL Task, Data Flow Task, and Execute Package Task
  • Created database objects like tables, view, store procedures, functions, triggers using SQL server
  • Created various types of reports such as sub reports, Tablix and Matrix using SQL Server Reporting Services and created Parameterized Reports which consist of report Criteria in various reports to make minimize the report execution time and to limit the no of records required
  • Created reports on both cascading and standard parameters
  • Designed reports on account information, research reports using ad-hoc reporting to be used by clients and advisors
  • Worked on Power BI in creating dashboards and reports and visualizing data
  • Used Microsoft Power BI Power Query to extract data from external sources and modify data to certain format as required in Excel and created SSIS packages to load excel sheets from PC to database
  • Used Power Query to acquire data, developed calculated columns and measures using DAX in Power BI desktop for designing rich visuals using visualizations such as Bar chart, Clustered Column Chart, Waterfall Chart, Gauge, Pie Chart, Tree map
  • Shared with user groups, scheduled and maintained the Power BI reports published to the Power BI Service
  • Sourced data from SQL Azure database, SQL Azure Data warehouse, AWS RDS solutions such as MySQL Aurora and Redshift for my Power BI reports
  • Created SSIS Packages by using advance transformations (i.e
  • Pivot Transformation, Fuzzy Lookup, Derived Columns, Condition Split, Aggregate) and used Custom components such as
  • Audit on Pre-Execute, Audit on Post-Execute and Statistics Logging Component
  • Successfully extracted data from flat files/excel files, applied complex transformation and finally loading to SQL Server data warehouse on monthly basis
  • Created Dynamic SSIS packages using complex expressions, variables and control flow components such as for each Loop Container to loop over a Directory to load inbound files coming daily.
  • Environment :- MS SQL Server 2016/14, MS SQL Server Reporting Services 2016, MS SQL Server Integration Services 2016 (SSIS), MS Visual Studio 2015, SSAS, Power BI, TFS, Service Now, SQL Catalog, Snowflake Data Warehousing Platform,azure data bricks,Python, Py spark,Informatica.

Education

Masters - Business Analytics

Bellevue University
Omaha, Ne
06-2024

Skills

  • Development Tools SQL Server 2005/2008/2014, SQL Server Reporting Services 2005/2008/2014, SQL Server Integration Services 2005/2008/2014, Erwin 80, SQL profiler, SQL Server Query Analyzer, FileZilla (FTP), TFS, JIRA, MS-Visual Studio, MS Access, AZURE Data Warehouse, Power Automate, ADFGIT Karken, GIT Hub, Microsoft365, Azure Devops, Azure Databricks, Visual Studio Code
  • RDBMS SQL Server 2014/2012/2008R2/2008/2005/, DB2, Oracle 10g/9i, MS Access, SQL Catalog
  • Front End HTML/HTML5, CSS/CSS3, XML, PHP
  • Programming Languages ASQL, Azure KQL, Python, SAS , Snow SQL
  • Methodologies Waterfall, Agile
  • Analysis/Reporting Tools SQL Server Reporting Services (SSRS) 2012/2008R2/2008, SQL Server Reporting Services (SSRS) 2014/2012/2008, ADF, Power BI, Tableau
  • Operating System Linux, Windows
  • Data Modeling Tools Erwin 72/45, MS VisioSSIS

Certification

  • Lean Six Sigma Green Belt Certified
  • SEAL Certified(School Emerging Leader certification)

Languages

English
Full Professional

Timeline

Data Engineer

Apex Systems
11.2024 - 01.2026

Snowflake/ETL / Power BI Developer

Bellevue University
03.2024 - 11.2024

Senior Data Engineer

GE (Healthcare, Oil & Gas, Power, Aviation, Corporate)
09.2014 - 02.2022

Data Engineer

NBC Universal
01.2011 - 08.2014

Masters - Business Analytics

Bellevue University
Noonsavath Swami