PROFESSIONAL PROFILE:

• 16+ years of extensive IT experience mainly on Big Data - Data Ingestion, Software Development, QA and UAT Testing.
• 9 years of Experience in Leading/Managing Big Data/ETL Onsite/Offshore Team.
• 3 years of experience in Big Data - Confidential Ingestion for Commercial Data
• Functional domain Experience in BFSI (Banking, Insurance, Capital Markets - Tax, Trade and Compliances, Forward Contract, Equity/Fixed Income Investments,).
• Experienced in Scaled Agile Framework 4.5 (SAFe Agilist)
• Expert in Datawarehouse ETL, Hive, SQL queries in Oracle / DB2 / Netezza / Teradata / /Sybase DBs Cognos, OBIEE, BO and SAS Reports validation.
• Hands on experience in Big Data Ingestion - Metadata, Data Quality, History Catch up, and complete E2E Legacy to Big Data validation and maintenance.
• Good Knowledge in Informatica, DVO, Data Stage, QTP, Selenium, and QC.
• Proficient in Automation Framework, Scripted Components, Debug/Fixing Components and Maintain Regression suites.
• Expertise in Maverick Metadata registration, Silver data ingestion, DOT Sign-off and Business Sign-off.
• Good knowledge on DevOps and CICD concepts and execution
• Experience in SiteCatalyst - Web Analytics and SalesForce integration Testing.
• Good hands on experience in Agile SCRUM Methodology, Effort Estimation, Project Tracking and Monitoring, Coordination and Project Plan and strategy.
• Expert in developing/executing software Test plan, Test script/cases and Test data preparation.
• Key contribution in Project Life Cycle and Design documentation.
• Strong in Data Analysis, Planning, and Problem solving capabilities.
• Excellent interpersonal, communication and writing skills. Good team player or in individual environment.
• Played in all phases of SDLC and STLC.

AREAS OF EXPERTISE:

• BIG DATA - INGESTION BANKING & INSURANCE SCALED-AGILE
• ONSITE/OFFSHORE MACHINE LEARNING SCRUM MASTER
• PROJECT MANAGEMENT RISK BASED TESTING TIME TO MARKET
• BEST PRACTICES LEARNING & MENTORING WEB ANALYSTICS

TECHINICAL SKILLS:

Development Methodologies: SAFe Agile, SCRUM, LeanAgile, Iterative and Waterfall.

Databases & Tools: Apache Hive 1.2, Oracle 10.i, DB2, Netezza, Teradata 13.11.06, MYSQL, SQL Server 2008, Oracle SQL Developer 1.5.5 and Sybase.

Database Tools: MySQL Workbench, SQuirreL, RapidSQL, Toad 8.0 & Query Analyzer.

Reporting Tools: Tableau, Cognos 7 & 10 Series, QlikView 11, Business Objects 3.1, OBIEE, Crystal and SAS Reports.

Software Products: Guidewire, ActiveBank(Temenos), SalesForce and SiteCatalyst

Programming Languages: J2EE, C, C++, ASP.Net, VBScript Macro, Shell and Python.

Operating System: UNIX (HP-UX 10.20), Z OS, MSDOSWindows NT, XP and 7 & 8.

Machine Learning: Confidential Machine Learning Studio, Notebook, Semi-Supervised Learning, SparkSQL, PySpark and Python Packages

QA Tools : QTP 9.2, Win Runner 7.0, Quality Center 11.

ETL Integration Tools: Data Stage, Informatica 8.6 and Cognos.

Config Mgmt Tools: Confluence, SharePoint, Perforce and Visual Source Safe.

PROFESSIONAL EXPERIENCE:

Confidential

Responsibilities:

• Attend PI Planning Session, Understand features, capabilities and its priorities
• Prepare program board with Data Ingestion, enhancement and Curation activities
• Prepare High level sizing based on available capacity for PI
• Forecast projects, plan and allocate resources & tasks.
• Propose new business solution and coordinate account level activities.
• Achieved huge team co-ordination between various business and technical teams.
• Design and implement the Best Data ingestion Practices.
• Finalize Metadata from various SORs and prepare initial questionnaire .
• Prepare Metadata mapping and Register with Central Data Management (CDM)
• Prepare Ingestion Logic and Flow as per the Source File
• Setup File Transfer mechanism from Source to Confidential Landing Zone
• Align with SOR team regarding Data file layout and frequency .
• Manage and coordinate with the onshore/offshore project team.
• Review Ingestion Flow and logic created by the team.
• Communicate the project impediments and risks to the program board and get is solved right on time.
• Ingest the data in Silver (Dev/Test) Environment and secure HS#3 sign-off
• Request Business Team/End User sign-off in Silver before moving CDM
• Create ‘Request for Change’ and move CDM to Platinum (Production)
• Request 1 round of History/BAU data load for ingestion and validate the layout
• Secure HS#4 Sign-off from DOT
• Show and Tell with Business/End User and secure PIV sign-off
• Request DOT to release the feeds into CSTONEDB3 as BAU feed
• Conduct daily SCRUM and status meeting with stakeholders
• Received Customer appreciation for Data Ingestion and Lead activities.

Confidential

SCRUM Master / Tech Lead

Platform: Hadoop Hive Big Data Platform

Tools: Hadoop, Hive, MapR, PIG, Confidential, SharePoint 10, Rally, JIRA, WinSCP, Putty, Maverick, Magellan, ServiceNow, MySQL, HiveTerminal, Soap UI 5.2.0, WiMD, Excel Macro and EventEngine

Responsibilities:

• Plan, Schedule, Co-Ordinate and ensure the right Process adherence.
• Co-Ordinate all Activities between Offshore-Onsite team with regular status.
• Review the Test Approach, Strategy, Functional Test cases, Test data, Test Documents, Test Deliverables, Artifacts and Automated Test scripts.
• Interact with Business Team, Understand Requirements and Functionalities.
• Analyze/Review the Test Functional Matrix to cover the Business Requirements.
• Guiding methodical and rigorous Approach/Strategy to achieving Test objectives.
• Analyze/Review reusable architecture for Test Automation and maintain scripts.
• Define Scripting, Environmental and Coding standards for Manual and Automation.
• Configure/Setup Test environments; Manage control set of Test data.
• Track and Monitor the Requirement Coverage, Schedule Slippage and focus on Project/ Milestones.
• Monitor and update the correct Test Sets in Regression Suites to find the impact.
• Collect various Project Metrics and publish to Project Manager and Stack Holders.
• Analyze Automated and Manual Test results and Arrange Defect Review Sessions/Meetings with Dev Team to discuss the Test Observations.