Suganya Jayakumar Email & Phone Number

Orleans St

Design and develop data integration processes using Informatica Power-Center to load application data into Media Asset Management (MAM) reporting databases.Assist in the architecture, implementation and deployment of an enterprise operational reporting database warehouse.Design and develop data structures for mining and information retrieval applications which support small scale information needs as well as enterprise wide strategic initiatives.Work with subject matter experts to… Show more Design and develop data integration processes using Informatica Power-Center to load application data into Media Asset Management (MAM) reporting databases.Assist in the architecture, implementation and deployment of an enterprise operational reporting database warehouse.Design and develop data structures for mining and information retrieval applications which support small scale information needs as well as enterprise wide strategic initiatives.Work with subject matter experts to derive data requirements and design appropriate data models.Design and develop ETL processes for cleansing and loading data into the operational warehouse, as well as developing batch and real-time solutions to support application and integration initiatives.Perform data profiling tasks including column analysis, structural analysis, simple rule analysis, and complex rule analysis.Successfully implemented a large scale project involving integration with Salesforce to create dashboards for revenue data in Salesforce.Assist with resolving data anomalies and data quality issues.Perform performance tuning based on Informatica velocity best practices.Assist with writing and maintaining project documentation, including but not limited to formal requirements, design documents and test plans.Interact with UNIX/Windows system administration and DBA groups to resolve issues.Support development initiatives by working with application design and development teams to reach optimal data design, quality, and integration patterns.Support development of ad-hoc and canned reports to support business initiatives and objectives.Took responsibility of individual projects and ensured timely completion without data quality issues.Being a part of the data services team and the nature of work, had to work Show less

Detroit, Michigan

Design and develop data integration processes using Informatica Power-Center to load application data into Media Asset Management (MAM) reporting databases.Assist in the architecture, implementation and deployment of an enterprise operational reporting database warehouse.Design and develop data structures for mining and information retrieval applications which support small scale information needs as well as enterprise wide strategic initiatives.Work with subject matter experts to… Show more Design and develop data integration processes using Informatica Power-Center to load application data into Media Asset Management (MAM) reporting databases.Assist in the architecture, implementation and deployment of an enterprise operational reporting database warehouse.Design and develop data structures for mining and information retrieval applications which support small scale information needs as well as enterprise wide strategic initiatives.Work with subject matter experts to derive data requirements and design appropriate data models.Design and develop ETL processes for cleansing and loading data into the operational warehouse, as well as developing batch and real-time solutions to support application and integration initiatives.Perform data profiling tasks including column analysis, structural analysis, simple rule analysis, and complex rule analysis.Successfully implemented a large scale project involving integration with Salesforce to create dashboards for revenue data in Salesforce.Assist with resolving data anomalies and data quality issues.Perform performance tuning based on Informatica velocity best practices.Assist with writing and maintaining project documentation, including but not limited to formal requirements, design documents and test plans. Show less

Ann Arbor, Michigan

Involved in the design and development of ETL processes to load data for analytical purposes.Was responsible for building new data marts (SEO data mart) as well as enhancing the current ones with new features.Automated processes using the Unix shell scripts.Since processing of huge files from Omniture was involved, performance tuning of the mappings, sessions and workflows played a huge role in bringing down the running time.Co-ordinated with Omniture to resolve source file… Show more Involved in the design and development of ETL processes to load data for analytical purposes.Was responsible for building new data marts (SEO data mart) as well as enhancing the current ones with new features.Automated processes using the Unix shell scripts.Since processing of huge files from Omniture was involved, performance tuning of the mappings, sessions and workflows played a huge role in bringing down the running time.Co-ordinated with Omniture to resolve source file related issues.Wrote test cases for integration testing.Performed data profiling of the sources using Talend open source tool before beginning the development work. That helped me identify the data patterns.Analyzed data related issues and proposed possible solutions and picked the best one after the consultations based on ROI.Worked on the Revenue data mart which involved a lot of mappings with complicated data calculations where the totals have to absolutely precise.During development work, focused on reusability and simplicity to get the best performance.Used advanced mapping techniques to make the most of the Informatica tool.Worked with the users directly for requirements as well as any data related issues.Documented all the processes for the ease of understanding for the new recruits as well as for the existing ones.Have provided production support and resolved critical issues. Show less

Mumbai Area, India

Analyzed, designed, developed, implemented and maintained Parallel jobs using IBM info sphere Data stage.Involved in design of dimensional data model – Star schema and Snow Flake SchemaGenerating DB scripts from Data modeling tool and Creation of physical tables in DB.Worked SCDs to populate Type I and Type II slowly changing dimension tables from several operational source filesCreated some routines (Before-After, Transform function) used across the project.Experienced in… Show more Analyzed, designed, developed, implemented and maintained Parallel jobs using IBM info sphere Data stage.Involved in design of dimensional data model – Star schema and Snow Flake SchemaGenerating DB scripts from Data modeling tool and Creation of physical tables in DB.Worked SCDs to populate Type I and Type II slowly changing dimension tables from several operational source filesCreated some routines (Before-After, Transform function) used across the project.Experienced in PX file stages that include Complex Flat File stage, DataSet stage, LookUp File Stage, Sequential file stage.Implemented Shared container for multiple jobs and Local containers for same job as per requirements.Adept knowledge and experience in mapping source to target data using IBM Data Stage 8.xImplemented multi-node declaration using configuration files (APT_Config_file) for performance enhancement.Experienced in developing parallel jobs using various Development/debug stages (Peek stage, Head & Tail Stage, Row generator stage, Column generator stage, Sample Stage) and processing stages (Aggregator, Change Capture, Change Apply, Filter, Sort & Merge, Funnel, Remove Duplicate Stage)Debug, test and fix the transformation logic applied in the parallel jobsInvolved in creating UNIX shell scripts for database connectivity and executing queries in parallel job execution.Used the ETL Data Stage Director to schedule and running the jobs, testing and debugging its components & monitoring performance statistics.Experienced in using SQL *Loader and import utility in TOAD to populate tables in the data warehouse.Successfully implemented pipeline and partitioning parallelism techniques and ensured load balancing of data.Deployed different partitioning methods like Hash by column, Round Robin, Entire, Modulus, and Range for bulk data loading and for performance boost. Show less