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Karthick Ram R.V.

(CSTE & ISTQB Certified)

Email: addyd9@r.postjobfree.com

Phone: +1-813-***-****

LinkedIn Profile: http://in.linkedin.com/in/karthickram PROFESSIONAL SYNOPSIS: -

Competent and dynamic IT Professional offering an experience of 15+ years in Software Quality Assurance ● with extensive participation in System, Functional, Non-Functional and UAT Testing using Test Management Approach (TMAP) and Agile-Scrum method of testing ● Cumulative strengths in Test Management, Test Strategies, Risk Based Testing and Test Data Management ● Domain strengths including Retail Banking services (Internet and Mobile Banking, AML Alerts, SEPA & MiFID compliances), Investment Banking services (Order creations, Crossing Engine & Bookings) and Human Capital Management ● Prominence in Client Relationship Management and QA Process Implementation with leading Financial Institutions such as ABN AMRO Bank, Goldman Sachs Bank, Citi Bank and Equifax. CERTIFICATIONS & TRAININGS: -

Google Cloud Certified - Associate Cloud Engineer (#w5xy9O on Nov’19) ● Certified Software Tester

(CSTE #11294 on Jun’06) ● ISTQB (#ITB-CTFL-002220 on Oct’06) ● D&B certified on Banking (Dec’07) ● NCFM certified on Financial Markets (Mar’12 & Mar’14) ● Oracle 9i SQL Certified (Jul’04) TECHNICAL COMPETENCIES: -

Test Management Tools: HP TestDirector, Quality Center, HP ALM, JIRA & CollabNet TeamForge Specialized Testing Tools: HP Performance Center & Quick Test Pro Configuration Management Tools: Microsoft VSS, Cascade & SharePoint Support Tools: Aqua Data Studio, Unix, Hue-Hadoop editor, FIX Messages, Autosys & MS Office RDBMS: Oracle & MYSQL

Hadoop Environment: Cloudera Hadoop cluster, Hive, Impala, Spark, Datameer Dashboards DETAILED WORK EXPERIENCE: -

Big Data QA Lead @ Ocher Technology Group

(From Dec ‘17 - Current)

Establish Quality Assurance policies and procedures for the improvement of productivity. Identify the project risks and provide advice for the production implementation.

Implement End-to-end Data Quality Operations, Test Plans, Test scenarios/ cases in Big Data Hadoop environment & exceptionally document the Process to reuse the QA artifacts.

Work closely with System engineering teams (Developers, Architects, Reporting & Dashboard teams) to deploy and test Hadoop environment and expand existing Hadoop clusters.

Define Test Estimation, Test planning and Strategy for the releases/ sprint. Analyze requirements/ user stories to define the QA scope for the project, review and get sign off from business.

Expertise in managing multiple projects and releases simultaneously with good communication, analytical, interpersonal, and presentation skills. Test Lead/ Onsite QA Coordination @ L&T InfoTech Limited

(5.5 years from Feb ‘12 - Dec ‘17)

Implementation of Data Quality (“DQ”) checks and processes for the migration of ‘Anti Money Laundering’ ‘Credit Card’ data from Legacy Oracle Data warehouse system into Big Data Enterprise Analytics Platform (“EAP”) Hadoop environment across different geographical regions. Page 2 of 4

Karthick Ram R.V.

(CSTE & ISTQB Certified)

Email: addyd9@r.postjobfree.com

Phone: +1-813-***-****

Hands-on with Citi AML DQ framework (runs in both Hive & Spark engines), that can perform DQ validations for various Source systems for both historical and daily data feeds (~1 billion records).

Data Quality Validations on Fixed Length file formats that are PGP encrypted and sent / received via SEFT process on regular basis, between Source and Downstream systems.

Client ALM (Application lifecycle management) site administration including defect tracking, test execution management, release maintenance and release requirements mapping.

Follow Change Management procedures; involved in Defect Prevention and Configuration control management activities. Coordinate the DEV and BA teams to analyze and resolve defects.

Review of test scenarios and execution reports. Preparation of Test Closure reports and Sign-off documents. Support Business / Functional Owners with performing UAT and E2E Business scenarios. Software Test Analyst/ Onsite QA Coordination @ Infosys Technologies Limited

(1.5 years from May ‘10 - Jan ‘12)

Lead the User Acceptance Test team for Bank’s sensitive & confidential Internet and Mobile Banking applications working closely with business users and functional owners.

Coordinate the Business team and Functional owners during risks evaluation process and review sessions to derive and execute action plans, meeting deadlines and standards.

Manage Offshore Test Operations and also Participate in “Daily Scrum standup” meetings.

Regular Discussions with Scrum master & Product owner to track the test progress and planning.

Maintenance of automated test scripts which helped the project to cut-down the regression test effort in every release to ~ 60%.

Contribution to build the domain & technology competencies for onboarding functional QA projects.

Expertise in leading & managing teams with the team sizes varying from 5-20 in a challenging multi- vendor, multi lingual environment. Managed the UAT team to test end-to-end business scenarios. Test Engineer/ Onsite QA Coordination @ Infosys Technologies Limited

(5.5 years from Sep ‘04 - Apr ‘10)

Understanding the Business functionalities and Define the Test strategy for the projects.

Responsible for Preparation of Requirement traceability matrix, Functional test scenarios, cases and test data, Test execution and closure reports, Defect Maintenance & Management Reports/ Graphs.

Played a key role in recruiting the required resources for the project execution and successfully brought the projects into closure. Help decide upon the Automation Design/Framework.

Part of Defect Triage meetings with contributions done. Organized Knowledge transfer sessions within the team and Maintenance of the Knowledge Repositories. EDUCATIONAL QUALIFICATION: -

Bachelor of Science (IT), Madurai Kamaraj University, India, Apr’04 with 75.2%

Master of Computer Applications, Madurai Kamaraj University, India, Apr’11 with 58.4% ACHIEVEMENTS & AWARDS: -

Received “Key Player” award from ABN AMRO Bank in 2010 for Internet Banking Project

Certified with “Team Player” award in Apr’11 for Mobile Banking project Page 3 of 4

Karthick Ram R.V.

(CSTE & ISTQB Certified)

Email: addyd9@r.postjobfree.com

Phone: +1-813-***-****

SOME OF THE PROJECTS TESTED: -

Global Credit cards AML Data Acquisition & Transaction Monitoring Program helps the Citi Bank to migrate the Anti-Money Laundering data from Legacy Data warehouse system into Big Data Enterprise Analytics Platform (“EAP”) environment across different geographical regions (NAM, LATAM, EMEA and APAC regions) and generate the Alerts for the appropriate Case Management scenarios and set Thresholds. Data loaded into Big data EAP environment is refined through data standardization, data cleansing and data quality processes before loaded into final Data Mart layer and for Alert generations. Refined data is also further available for Reporting and Analytics purposes.

Data Quality checks such as Referential Integrity, Null check, Duplicate check, Format check, EAP Derivation check etc., are implemented on the data loaded into EAP system to ensure consistency, correctness and completeness of the data, along with end-to-end reconciliation performed at record and attribute level. Technologies: Talend, Hive, Hue-Hadoop editor, Putty (Hive queries), Spark Engine Client:

Citi Bank

Duration:

Tampa, FL -

Sep’15 - Present

NY - Jun’14 to

Feb’15

Role:

Onsite QA

Coordination

Projects:

AML Cards

Issuance

Transaction

Monitoring

Liquifi/ Total

Touch

Liquifi/ Total Touch project helped Citi Bank to protect the customers trading cost on the Securities Exchange. It uses the “Dark Pool Crossing Engine” concept to cross or match the orders internally before getting executed in the exchange. To protect customer anonymity and lessen market impact, “dark pool crossing engine” is introduced where ‘dark’ orders (appetite) are rested within the crossing engine without being listed in the Exchange. Liquifi is the next generation “dark pool crossing engine” in Citigroup Equity division. As a registered alternative trading system (ATS), Liquifi can cross or match orders internally with minimal market impact and greater anonymity. Other benefits of Liquifi are better execution price, faster execution, and lower exchange fees. Customers for Liquifi include retails, algorithms, hedge funds, and program traders. Technologies: Java (Admin GUI), Unix (Fix Messages), Mainframe (Bookings) Client:

Goldman Sachs

Duration:

Mar’12 to Apr’14

Role:

QA Coordination

Project:

Equity

Compensation

Outsourcing

Equity Compensation Outsourcing project was implemented at Goldman Sachs to outsource the Equity compensations of their employees to the third party vendor, Fidelity.

Equity Compensations are outsourced to Fidelity through encrypted feed files in a predefined format on regular basis. Information such as employee details, their compensations, and equities delivered are sent from Goldman Sachs to Fidelity through encrypted outgoing feed files on daily basis. Options exercised by the employees and restricted shares delivered are sent from Fidelity to Goldman Sachs through encrypted Incoming feed files on daily basis and the reconciliation is performed at Goldman Sachs end on regular intervals to find any discrepancies. Files are PGP encrypted and sent/ received via SEFT method. Automated Batch Jobs are executed for the files and data movement.

Technologies: Autosys Batch Jobs, Secured Feed Files, DB2 (Aqua Data Studio) Page 4 of 4

Karthick Ram R.V.

(CSTE & ISTQB Certified)

Email: addyd9@r.postjobfree.com

Phone: +1-813-***-****

Associated with this project for more than 5 years. Internet Banking Maintenance releases provided the ABN AMRO Bank Netherlands customers, with a valid Internet banking contract, used the suite of front-office applications for various purposes such as, a) online trading for securities such as equities, bonds, options, and Investment funds, creation of equity trading accounts, risk assessment for the orders placed /portfolio, b) online transfer methods such as standard Domestic & Foreign transfers, Bill Payments, Direct Debits, Standing orders and SEPA payments and, c) various other services like customers overview, online address change, download financial statement, personal inbox and payment alerts. Customers also use Mobile banking to access a subset of these services. This is a maintenance release project, which included release testing, and regression testing on monthly basis. Release testing involved testing of the PRLs (Prioritized Requirement lists), Production Problem Tickets & Incidents, Defect Fixes and/or Change Requests with an aggressive timelines.

Technologies: Frontend - Java, Backend - Oracle

Mobile Banking (also known as ‘Anywhere Banking’) project dealt with providing secured Internet Banking services to the ABN AMRO customers in Mobile devices such as iPhone/ iPad, Android & Blackberry devices. This project was very crucial for the ABN AMRO as the bank was stepping into next generation technology to reach out their customers & also from the security aspects as front-end business applications rely on Infra web services to process the authentication and authorization requests. In addition, ABN AMRO stepped into the Agile-Scrum method of development model for the front-end of this project, which greatly helped the project team to incorporate the change requests instantaneously during different phase of the project. Also, backend development took place in parallel using the standard Waterfall/ TMAP approach where the offshore testing team was involved.

Technologies: Frontend - Java, Backend - Oracle

Client:

ABN AMRO

Bank

Duration:

Amsterdam,

Netherlands -

Oct’ 06 to Feb’12

Role:

QA Lead

Projects:

Internet Banking

Maintenance

releases

Visual / Mobile

Banking

MiFID (Markets

in Financial

Instruments

Directive)

The MIFID Internet Banking is a compliance project aimed at protecting the customers trading in investment instruments via ABN AMRO Internet Banking. Each customer will have to fill out the questionnaires on Business Contact Level and Securities Account Level; based on which his/ her risk profile is calculated. Customer has the opportunity to change his/her profile via Internet Banking. The risk profile decides the percentage of various Investment securities such as equities, bonds, investment funds & options, the customer can invest based on the risk identified for that customer. The knowledge and experience profile calculates the level of risk involved in the securities when the customer orders for a specific fund. Once the risk profile is calculated, he/ she can place orders on various securities online.

Technologies: Frontend - Java, Backend - Oracle

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