Edw Test Lead Resume
New York, CitY
SUMMARY:
- ISTQB Certified QA Lead with expert level database testing skills, strong understanding of data architecture/design and proven ETL testing experience
- 10 years of extensive experience in the delivery of high - quality software solutions and demonstrated end-to-end IT project management skills in Mortgage and Capital Markets Domain
- Outstanding Project Management skills including scoping, estimation, planning, risk management, quality management and resource balancing with proven track record in successful implementation of end-to-end SDLC projects which have been challenging - both in terms of technical expertise and time constraints
- Proficient with Test Case Management/Defect Tracking tools Confidential ALM and good knowledge of ETL tool like Informatica and Datastage, Reporting tools like Cognos and SAP Business Objects
- Excellent knowledge and working experience in analyzing Requirement Specifications, Test Planning and Test Execution inclusive of Functional, Integration, Regression, Data Migration and System Testing
- Expert in effectively implementing Agile and Scrum methodology across Global teams
- Extensive knowledge of Autosys 4.6, jil, iXP and batch monitoring
- Collaborate with clients, Product Managers, Architects, & Analysts to develop and review requirements & design.
- Review multi-dimensional data models using star and snowflake schemas, denormalized data structures, slowly changing dimensions, etc.
- Validation of data integration tools and techniques such as ETL (Extract Transform Load), CDC (Change Data Capture), etc.
- Extensive experience in data analysis, working with ERP systems and financial systems.
- Extensive experience validating business semantic models and complex reports.
- Ability to analyze reports and interfaces, trace the metrics to data sources, and validate the logic used to create the metrics.
- Ability to construct complex SQL statements to analyze data. In-depth understanding of standard business intelligence tool like Cognos and SAP Business Objects
- Good understanding of relational data models and entity relationship diagrams
- Familiar with report scheduling, batch reporting, data-level security, report-level security.
- Excellent knowledge of Data Warehouse fundamentals like Star schema, Slowly Changing Dimensions (SCDs), Historical/Incremental loads, fact/dimension, surrogate key etc.
- Worked on different layers of Datawarehouse like staging, integration and datamarts
- Perform ETL validations like count, duplicate, CDC (Change Data Capture) and data validation between source and target destinations
- Process and validate huge data loads (in millions) from source to target
- Execute and validate ETL jobs/workflows on Datastage and Informatica
- Write complex SQLs to validate the transformation and data cleansing rules defined in data mapping documents
- Report validation and adhoc report analysis on Cognos and SAP Business Objects
- Strong Excel Skills required (Pivots, Macros, Formulas, V-Look-Up, Charting) for data manipulation/presentation
- Excellent working knowledge on UNIX environment and unix commands
- Experience of testing on heterogeneous datawarehouse environments like Oracle, SQL Server, Teradata and Netezza
- Test macros, stored procedures and triggers
- Create and run automated test scripts in UFT
- Excellent communication skills and ability to work both independently as well as in a team
TECHNICAL SKILLS:
ETL Tools: Informatica, Datastage
BI technologies: Cognos, SAP Business Objects
Computer Languages: SQL/PLSQL, Unix Shell Scripting, VBScript
Orchestration Tool: Autosys
Operating Systems: Unix and Linux
Databases: Oracle 9i/10g, SQL Server, Teradata, Netezza
Business Domains: Capital Markets, Mortgage
Testing software: HP ALM, HP UFT
Other Tools: TFS, Toad, SQL Assistant
PROFESSIONAL EXPERIENCE:
Confidential
EDW Test Lead
Responsibilities:
- As the Database Test Lead, responsible for Data Analysis, Database Architecture, Data validation and coordinating the User Acceptance Testing Cycle.
- Work closely with Program Managers for timely delivery, resource allocation and risk mitigation.
- As SME, responsible for knowledge management for on-boarding new members in the team.
- Preparing Weekly and Daily QA Status Reports along with Conducting Defect Review meetings with the Business Analysts, Project Managers and stake holders of respective project
- Participate effectively in relevant aspects of software development life cycle (SDLC) including planning, construction, testing, reviews and demonstrations.
- Collaborate with team to design, develop, test and refine deliverables.
- Collaborate with clients, Product Managers, Architects, & Analysts to develop and review requirements & design.
- Review and create system, software and functional design specifications that address requirements.
- Validation of FannieMae LAI Operational Reports, Management Analytic reports, Regulatory reports, Disclosure Reports and Ad-hoc reports
- Prepare test harness and test data around for FannieMae financial reports validation
- Built report automation regression framework on UFT
- Built Data Quality tool on excel to create test data for LAI data quality rules
- Analysis of Loan accounting Engine requirements and identifying test scenarios
- End to end validation of Loan Accounting Engine built on Java from source files to payloads to Subledger to General Ledger entries
- Analysis of Data Quality requirements and test data generation using VB script
- Validate multi-dimensional data models using star and snowflake schemas, denormalized data structures, slowly changing dimensions, etc.
- Validate data integration tools and techniques such as ETL (Extract Transform Load), CDC (Change Data Capture), etc.
- Validate analytical data models to support static and ad-hoc reports, analytics and research, dashboards, data mining, trending, creation of key performance indicators, predictive modeling, etc.
- Develop, execute and maintain test cases in ALM
- Perform EDW validations on Netezza
- Report validation on SAP Business Objects
- Write complex SQLs to validate the transformation and data cleansing or data quality rules
- Validate inbound and outbound interfaces
- Perform ETL validations like duplicate, count, incremental and data comparison between source and target
- Run and validate ETL workflows in Informatica
- Run and validate Autosys jobs used for orchestration
Environment: Informatica, Oracle, Netezza, SAP Buisness Objects, Autosys, ALM, SQL/PLSQL, Unix
Confidential, New York CityETL Test Lead
Responsibilities:
- Tested the installation and connectivity of Vertica with other infrastructure- Qlik View, Informatica, WebLogic, Oracle, Autosys, Cognos, Actuate in all environments (DEV/SIT/QA/PROD)
- Created the temporary process to fetch all Production feeds for QA Environment Readiness
- Executed QA batch on daily basis and reconciled numbers against the Production database.
- Verified end to end from data validations, batch process, performance till the reporting plaforms ( Compass, Qlik View, Cognos, Actuate, Downstreams)
- Work closely with Program Managers for timely delivery, resource allocation and risk mitigation.
- Preparing Weekly and Daily QA Status Reports along with Conducting Defect Review meetings with the Business Analysts, Project Managers and stake holders of respective project.
- Managing, coordinating & delegating the testing activities with offshore team (3 team members).
- Develop, execute and maintain test cases in QC
- Write complex SQLs to validate the transformation and data cleansing or data quality rules in Datawarehouse
- Validate data mapping, selection criteria, aggregations, sorting, lookups, transformations, data loads
- Process and validate trade feeds from source to Oracle to Netezza trade tables
- Perform ETL validations like duplicate, count, incremental and data comparison between source and target
- Run and validate ETL workflows in Informatica
- Batch monitoring using Autosys
- Test, schedule and run autosys jobs
- Tested management reports by querying the Database and understanding the Business Requirement Documents.
- Run and validate Cognos reports
- Preparation of daily testing report
- Test and defect Management using Confidential Quality Center
Environment: Informatica, Netezza, Cognos, Oracle, Autosys, Quality Center, SQL/PLSQL, Unix
ConfidentialETL Tester
Responsibilities:
- Develop, execute and maintain test cases in QC both manual and automated
- Write complex SQLs to validate the transformation and data cleansing rules in Datawarehouse
- Validate data mapping, selection criteria, aggregations, sorting, lookups, transformations, data loads
- Process and validate data loads from flat files and DB tables
- Perform different ETL validations like data-data, data-file, file-file based on source and target
- Perform duplicate, count, CDC(Change Data Capture) data checks on source and target
- Creation and Execution of automated test cases based on established framework in VBScript on QTP
- Run and validate ETL jobs in Informatica
- Create Test Strategy, Test Plan
- Preparation of daily testing report
- Test and defect Management using Mercury Quality Center
- Design and implement SDLC policy and procedures. Conduct gap analysis of the SDLC
Environment: Datastage, Teradata, Quality Center, QTP 10.0, SQL/PLSQL, VBScript, Unix/Linux
ConfidentialETL Tester
Responsibilities:
- Develop, execute and maintain test cases in QC both manual and automated
- Perform ambiguity reviews of business requirements and technical design documents
- Write test SQL scripts for different ETL validations
- Perform different ETL validations like data-data, data-file, file-data based on source and target
- Perform duplicate, count, incremental data checks on source and target
- Process and validate huge data loads (in millions) from flat files and DB tables
- Test macros, stored procedures and triggers
- Creation and Execution of automated test cases based on established framework in VBScript on QTP
- Run and validate Informatica workflows
- Run and validate reports on Cognos
- Preparation of daily testing report
- Test and defect Management using Mercury Quality Center
- Create Test Strategy, Test Plan
Environment: Informatica, Teradata, Cognos, Quality Center, QTP 10.0, SQL/PLSQL, VBScript, Unix/Linux
ConfidentialDatabase Tester
Responsibilities:
- Develop, execute and maintain test cases
- Write complex SQL queries and inserts scripts.
- Test inbound and outbound interfaces (Stored Procedures)
- Test triggers
- Performance testing of interfaces
- Create tables and views if required
- Preparation of daily testing report.
- Test and defect Management using Mercury Quality Center
Environment: MS SQL Server 2005, Biztalk Server, Quality Center, SQL/PLSQL
ConfidentialQA
Responsibilities:
- Plan of test cases in Quality Center
- Develop, executing and maintaining test cases
- Assign task to testers.
- Preparation of daily testing report.
- Defect Management.
- Interact with developers and discussed technical problems and Bug Tracking.
- Prepare weekly status report to report the test progress in a timely fashion to the client
- Carry out the smoke and sanity testing on new build releases
- Carry out the regression test cycles for weekly/monthly builds
- Carry out the system testing after regression test cycles
- Utilize QC by making test sets and streamlining requirements coverage
- Functional testing for the on-going product
- Enhance knowledge on SAN environment.
- Responsible to make efficient and effective communication with Israel counterparts
Environment: Confidential Quality Center, Navisphere, Web Tools, EMC Control center
ConfidentialETL Tester
Responsibilities:
- Prepare test cases
- Testing (System, Regression, Report, Performance)
- Handle Team Communication
- Ensure end to end Data Consistency and Integrity across different layers of Datawarehouse (DRA-Data Reception Area, DSA- Data Staging Area, ODW- Orbit Datawarehouse & ALD-Aggregate Layer Datamart) making use of ETL tool OWB
- Perform duplicate, count, incremental data checks on source and target
- Run ETL jobs on Informatica
- Write complex SQLs to validate the transformation and data cleansing rules in Datawarehouse
- Train project team members on technologies implemented & business functionalities in the project
Environment: Informatica, Oracle, Toad, SQL/PLSQL, Confidential Quality Center, Unix