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1 | P a g e Shuvam’s Resume
Shuvam Dutta
Performance Test Engineer | Noida, India | Contact Number: (+91) 8860291926 |
Email: shuvam95@gmail.com
Professional Summary:
ď‚· Total ~3 years (2 years 11 months) experience in Performance Testing concepts with end-end
knowledge of large scale Web Applications systems
ď‚· Working as a Software Engineer/Performance test engineer with Cavisson Systems Incorporated.
Currently working with Cognizant on the basis of contract with Cavisson. Responsible for
strategizing and conducting performance test every release cycle to ensure system reliability,
capacity and scalability.
ď‚· Experienced in end to end performance testing of e-commerce website i.e. Macys.com &
Bloomingdales.com (Generic functionalities: Shopping Cart, Add to Bag, Checkout, Promotions,
Product Display Page, User Registration, Web Services etc.).
ď‚· Java GC tuning and GC configuration analysis. Also reporting/analysis of waterfall view of specific
web page (Page Load, DOM load, etc) and web service speed testing with image weight comparison
to conclude cost.
ď‚· Worked on multiple Performance Testing Projects in multiple PERF Data Centre (WSSG-Direct API
testing, OES-Operational Email System, SEO- Search Engine Optimization, MEW- Mobile Enable
Web/Mobile App using Heroku, Recommendations and all other e-commerce flow/use-case testing).
Performance environment includes Lorain PERF1 & PERF2, WDC & DAL PERF.
ď‚· Extremely observant and detail-oriented, highly organized with the ability to keep accurate records
and manage time wisely. Comfortable working alone or as a group.
ď‚· Supervise a team of quality checkers to ensure they follow the required methods and report defects
in a timely manner.
ď‚· Good at performance analysis and bottleneck identification which involves End-to-End root cause
analysis. Also worked on configuration (OS, JVM and system settings) and data validation which is a
part of test pre-conditions.
ď‚· Strong Script preparing skills, logical and analytical abilities for strategizing Performance test use
cases.
 Experienced at Generating Bug Reports using bug-tracking tools for Business Software’s and Web
applications.
ď‚· Experienced in working with Cross functional teams. Also worked with Developers, Networking and
other functional teams for troubleshooting and bug fixes.
ď‚· Good communication skills, committed, quick learning capability, result oriented, smart working
with a quest and Zeal to learn new technologies.
Skill Set Summary:
ď‚· Testing Tool: Jmeter/LoadRunner basics, Cavisson NetStorm (virtual user generator) - Load runner
replica, Cavisson NetOcean (Service Virtualization) – CA Lisa replica, Cavisson NetCloud (VuGen w.r.t
locations).
ď‚· Automation Tool : Jenkins
ď‚· API Testing Tool: SoapUI, REST Client, POSTMAN
ď‚· Languages: Shell scripting, SQL, C, Core Java
ď‚· Operating System: Ubuntu, Windows
ď‚· Web Application Servers: Apache Tomcat , Wildfly Jboss, GCP
ď‚· Supporting tools/Add-ons: Tibco messaging service, Apache kafka stream processing solution
ď‚· Monitoring Tools: Dynatrace, Splunk, Netstorm/NetCloud Dashboard, Grafana, Stackdriver
ď‚· DB Servers: IBM DB2, Cassandra, Oracle database 12c
ď‚· Packages: MS Office 2007/16
ď‚· Network analyzers: WireShark, Fiddler, Chrome Dev Tool, Web speed test tool
ď‚· Utilities: JIRA & Confluence project management tool, Putty, XShell, Bugzilla, FileZilla, winscp
2 | P a g e Shuvam’s Resume
Qualification:
ď‚· B. Tech (ECE) with 80% of marks, pass out - 2017 from Biju Patnaik University of
Technology Board – GIET, Gunupur.
ď‚· 12th (ISC) with 85% of marks, pass out - 2013.
ď‚· 10th (ICSE) with 80% of marks, pass out - 2011.
Employment Profile
Major Projects Under Taken:
Current Organization: Cavisson Systems Inc (December, 2016 to till date)
Project: WSSG/OES/PROS/SEO/MW/NativeApp(Selection) Client: Macys.com&Bloomingdales.com
Organization: Cavisson Systems Inc Domain: E-commerce
Duration: Feb 2017 – June 2019 Team Size: 1 to 7
Technologies: NetStorm, NetOcean, Oracle SQL developer, Rest-Client, POSTMAN, Fiddler, FileZilla,
DynaTrace, C, Shell scripting, Tibco, Cache, JBOSS, NodeJs, DB2, Cassandra, Linux, F5-LTM, Splunk &
Dynatrace, Grafana & Stackdriver.
Environments: Lorain PERF1 & PERF2, Selection Component level fixes/analysis in DAL & WDC.
Project Name: Selection in Macys and Bloomingdales.
Client: Macy's & Bloomingdales
Generic Engagements:
1. Test Cases Execution (Load, Endurance, and Stress tests), Test Results Analysis and reporting,
Debugging, fixing & reporting Issues.
2. Test Data Preparation, Scenario Creation, Business Transaction flow Recording, Enhancements,
Debugging and Fixing.
3. Environment Setup, Tuning and Verification, Setting up Monitoring Agents to Monitor Different
Servers Stats and Services Simulation.
4. Mentoring and Helping Other Team Members.
5. Release Verification
Project Brief: This is a component level testing for Selection Project in macys.com & bloomingdales.com.
We record script flow or test direct API and implement logical use cases to execute Performance test. We
execute set of test cases on every release and report Transaction Response Time and other different
Transaction statistics, System and Applications Metrics, Errors and exceptions. We execute Endurance,
Load and Stress Test to unearth the performance issues and bottle necks.
Project specific engagements:
ď‚· Test Results and errors Analysis, finding the Performance Issues & Bottlenecks, Reporting.
ď‚· Monitoring of Transactions Response Time, Analyzing the Applications and System Metrics,
Tuning GC, scanning different log files using splunk & method level analysis using Dynatrace.
ď‚· Finding breaking points of application during Stress Test.
ď‚· Recording and customization of scripts.
ď‚· Setting up different System and Application configuration in different Servers as a part of test
pre-condition.
ď‚· Setting up monitoring agent in different servers to fetch application and systems stats
ď‚· Mocking or service virtualization of third party Web Services using NetOcean tool.
3 | P a g e Shuvam’s Resume
ď‚· Understanding the Client Requirements, creating the scenario to replicate the Test Case & their
executions.
ď‚· Documentation and Confluence work.
 Worked on Operational email system to test it’s load capacity on delivering messages via email,
push or sms
ď‚· Execute automated batch jobs to optimize the search engine and testing of specific new
enhancement or functionality i.e. JIRA new faeture testing
 Worked on direct services/API testing which are exposed outside Macy’s & Bloomingdales
Network via Website Gateway
ď‚· Recorded NativeApp API using Charles debugger for scripting Mobile App flows/use cases
ď‚· Migration of services from physical environment to cloud environment is in progress using cloud
technology such as Microsoft Azure & GCP (PaaS) with monitoring technology such as Grafana &
Stackdriver.
Project: WDC/DAL PERF E2E testing Client: Macys.com
Organization: Cognizant (Contractor) Domain: E-commerce
Duration: July 2019 – till date Team Size: 5 to 7
Technologies: NetStorm, NetOcean, NetCloud, Rest-Client, POSTMAN, Fiddler, FileZilla, DynaTrace,
C, Shell scripting, Tibco, Cache, JBOSS, NodeJs, DB2, Oracle, Cassandra, Linux, F5-LTM & ASM VIP,
Splunk & Dynatrace, Jenkins
Environments: DAL & WDC PERF
Project Name: WDC/DAL PERF in Macys
Client: Macy's
Generic Engagements:
1. Test Cases Execution (Load phasewise tests), Test Results Analysis and reporting, Debugging,
fixing & reporting Issues and Throughput adjustment as per production scenario.
2. Test Data Preparation, Scenario Creation, Enhancements, Debugging and Fixing.
3. Environment Setup, Tuning and Verification, setting up Monitoring Agents to fetch different
system and application statistics.
4. Mentoring and Helping Other Team Members.
5. Release Verification
6. Throughput adjustments as per performance workload modelling to match production scenario
7. Order rate calculation and reporting phasewise
Project Brief: This is a multi-tier flexible environment for WDC/DAL Project of macys.com. We implement
logical use cases in scripts to execute Performance test. We execute set of test cases on every release and
report Transaction Response Time, System and Applications Metrics. We execute Load Phasewise Test to
unearth the performance issues and to achieve throughput as per production scenario. We also report the
order rate on each phase as per the performance workload modelling
Project Specific Engagements:
ď‚· Test Results Analysis & finding the Performance Issues and Reporting.
ď‚· Throughput adjustments in scenario as per order rate on peak days
ď‚· Monitoring of Transactions Response Time, Analyzing the Applications and System Metrics,
Tuning GC, scanning different log files using splunk & doing method level analysis using
Dynatrace.
ď‚· Throughput and order rate report generation phasewise using python automated shell
ď‚· Error report generation phasewise using python automated shell
4 | P a g e Shuvam’s Resume
ď‚· Logical implementation and customization of scripts.
ď‚· Setting up or installing monitoring agents using automated shell script or preparing shell script
to automate installation.
ď‚· Understanding the Client Requirements, creating the scenario to replicate the Test Case & their
executions.
ď‚· Documentation and Confluence work.
ď‚· We are executing load phasewise test pointing to real time MST backend services such as order
processing and thus no service virtualization or mocking required
ď‚· Different types of data such as POOL, BOPS, BOSS, V2C, etc validation by using automated shell
script. Data is provided by Backend services/MST team
ď‚· Making data available by Publishing messages on tibco after data validation
ď‚· Fetching production access logs of different components from splunk on peak days to
calculate/study the component wise peak throughput
ď‚· Executing dual DC test (WDC & DAL) from Jenkins via NetCloud and fetch Jenkins comparison
report with baseline. Note: Jenkins is integrated with Netcloud using HPI software
Academic Trainings, Projects & Achievements:
1. One Month Summer Training in Core Java at HPE education Services.
2. Two Weeks Vocational Training in Advance Telecom at BSNL
3. Published a Journal on IJIREEICE for visibility Performance of FSO Transmission in Between
light Fog and Thin Fog
4. Attended two days workshop on embedded systems at IIT, Bhubaneswar
5. Secured 4th position in embedded robotics (embetronix) competition at IIT, Kharagpur
(kshitij 2016)
Personal Profile:
Gender : Male
Date of Birth : 28th April 1995
Nationality : Indian
Language Known : English, Bengali & Hindi
LinkedIn Profile : https://www.linkedin.com/in/shuvam-dutta-b4a891122

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Shuvam dutta

  • 1. 1 | P a g e Shuvam’s Resume Shuvam Dutta Performance Test Engineer | Noida, India | Contact Number: (+91) 8860291926 | Email: shuvam95@gmail.com Professional Summary: ď‚· Total ~3 years (2 years 11 months) experience in Performance Testing concepts with end-end knowledge of large scale Web Applications systems ď‚· Working as a Software Engineer/Performance test engineer with Cavisson Systems Incorporated. Currently working with Cognizant on the basis of contract with Cavisson. Responsible for strategizing and conducting performance test every release cycle to ensure system reliability, capacity and scalability. ď‚· Experienced in end to end performance testing of e-commerce website i.e. Macys.com & Bloomingdales.com (Generic functionalities: Shopping Cart, Add to Bag, Checkout, Promotions, Product Display Page, User Registration, Web Services etc.). ď‚· Java GC tuning and GC configuration analysis. Also reporting/analysis of waterfall view of specific web page (Page Load, DOM load, etc) and web service speed testing with image weight comparison to conclude cost. ď‚· Worked on multiple Performance Testing Projects in multiple PERF Data Centre (WSSG-Direct API testing, OES-Operational Email System, SEO- Search Engine Optimization, MEW- Mobile Enable Web/Mobile App using Heroku, Recommendations and all other e-commerce flow/use-case testing). Performance environment includes Lorain PERF1 & PERF2, WDC & DAL PERF. ď‚· Extremely observant and detail-oriented, highly organized with the ability to keep accurate records and manage time wisely. Comfortable working alone or as a group. ď‚· Supervise a team of quality checkers to ensure they follow the required methods and report defects in a timely manner. ď‚· Good at performance analysis and bottleneck identification which involves End-to-End root cause analysis. Also worked on configuration (OS, JVM and system settings) and data validation which is a part of test pre-conditions. ď‚· Strong Script preparing skills, logical and analytical abilities for strategizing Performance test use cases. ď‚· Experienced at Generating Bug Reports using bug-tracking tools for Business Software’s and Web applications. ď‚· Experienced in working with Cross functional teams. Also worked with Developers, Networking and other functional teams for troubleshooting and bug fixes. ď‚· Good communication skills, committed, quick learning capability, result oriented, smart working with a quest and Zeal to learn new technologies. Skill Set Summary: ď‚· Testing Tool: Jmeter/LoadRunner basics, Cavisson NetStorm (virtual user generator) - Load runner replica, Cavisson NetOcean (Service Virtualization) – CA Lisa replica, Cavisson NetCloud (VuGen w.r.t locations). ď‚· Automation Tool : Jenkins ď‚· API Testing Tool: SoapUI, REST Client, POSTMAN ď‚· Languages: Shell scripting, SQL, C, Core Java ď‚· Operating System: Ubuntu, Windows ď‚· Web Application Servers: Apache Tomcat , Wildfly Jboss, GCP ď‚· Supporting tools/Add-ons: Tibco messaging service, Apache kafka stream processing solution ď‚· Monitoring Tools: Dynatrace, Splunk, Netstorm/NetCloud Dashboard, Grafana, Stackdriver ď‚· DB Servers: IBM DB2, Cassandra, Oracle database 12c ď‚· Packages: MS Office 2007/16 ď‚· Network analyzers: WireShark, Fiddler, Chrome Dev Tool, Web speed test tool ď‚· Utilities: JIRA & Confluence project management tool, Putty, XShell, Bugzilla, FileZilla, winscp
  • 2. 2 | P a g e Shuvam’s Resume Qualification: ď‚· B. Tech (ECE) with 80% of marks, pass out - 2017 from Biju Patnaik University of Technology Board – GIET, Gunupur. ď‚· 12th (ISC) with 85% of marks, pass out - 2013. ď‚· 10th (ICSE) with 80% of marks, pass out - 2011. Employment Profile Major Projects Under Taken: Current Organization: Cavisson Systems Inc (December, 2016 to till date) Project: WSSG/OES/PROS/SEO/MW/NativeApp(Selection) Client: Macys.com&Bloomingdales.com Organization: Cavisson Systems Inc Domain: E-commerce Duration: Feb 2017 – June 2019 Team Size: 1 to 7 Technologies: NetStorm, NetOcean, Oracle SQL developer, Rest-Client, POSTMAN, Fiddler, FileZilla, DynaTrace, C, Shell scripting, Tibco, Cache, JBOSS, NodeJs, DB2, Cassandra, Linux, F5-LTM, Splunk & Dynatrace, Grafana & Stackdriver. Environments: Lorain PERF1 & PERF2, Selection Component level fixes/analysis in DAL & WDC. Project Name: Selection in Macys and Bloomingdales. Client: Macy's & Bloomingdales Generic Engagements: 1. Test Cases Execution (Load, Endurance, and Stress tests), Test Results Analysis and reporting, Debugging, fixing & reporting Issues. 2. Test Data Preparation, Scenario Creation, Business Transaction flow Recording, Enhancements, Debugging and Fixing. 3. Environment Setup, Tuning and Verification, Setting up Monitoring Agents to Monitor Different Servers Stats and Services Simulation. 4. Mentoring and Helping Other Team Members. 5. Release Verification Project Brief: This is a component level testing for Selection Project in macys.com & bloomingdales.com. We record script flow or test direct API and implement logical use cases to execute Performance test. We execute set of test cases on every release and report Transaction Response Time and other different Transaction statistics, System and Applications Metrics, Errors and exceptions. We execute Endurance, Load and Stress Test to unearth the performance issues and bottle necks. Project specific engagements: ď‚· Test Results and errors Analysis, finding the Performance Issues & Bottlenecks, Reporting. ď‚· Monitoring of Transactions Response Time, Analyzing the Applications and System Metrics, Tuning GC, scanning different log files using splunk & method level analysis using Dynatrace. ď‚· Finding breaking points of application during Stress Test. ď‚· Recording and customization of scripts. ď‚· Setting up different System and Application configuration in different Servers as a part of test pre-condition. ď‚· Setting up monitoring agent in different servers to fetch application and systems stats ď‚· Mocking or service virtualization of third party Web Services using NetOcean tool.
  • 3. 3 | P a g e Shuvam’s Resume ď‚· Understanding the Client Requirements, creating the scenario to replicate the Test Case & their executions. ď‚· Documentation and Confluence work. ď‚· Worked on Operational email system to test it’s load capacity on delivering messages via email, push or sms ď‚· Execute automated batch jobs to optimize the search engine and testing of specific new enhancement or functionality i.e. JIRA new faeture testing ď‚· Worked on direct services/API testing which are exposed outside Macy’s & Bloomingdales Network via Website Gateway ď‚· Recorded NativeApp API using Charles debugger for scripting Mobile App flows/use cases ď‚· Migration of services from physical environment to cloud environment is in progress using cloud technology such as Microsoft Azure & GCP (PaaS) with monitoring technology such as Grafana & Stackdriver. Project: WDC/DAL PERF E2E testing Client: Macys.com Organization: Cognizant (Contractor) Domain: E-commerce Duration: July 2019 – till date Team Size: 5 to 7 Technologies: NetStorm, NetOcean, NetCloud, Rest-Client, POSTMAN, Fiddler, FileZilla, DynaTrace, C, Shell scripting, Tibco, Cache, JBOSS, NodeJs, DB2, Oracle, Cassandra, Linux, F5-LTM & ASM VIP, Splunk & Dynatrace, Jenkins Environments: DAL & WDC PERF Project Name: WDC/DAL PERF in Macys Client: Macy's Generic Engagements: 1. Test Cases Execution (Load phasewise tests), Test Results Analysis and reporting, Debugging, fixing & reporting Issues and Throughput adjustment as per production scenario. 2. Test Data Preparation, Scenario Creation, Enhancements, Debugging and Fixing. 3. Environment Setup, Tuning and Verification, setting up Monitoring Agents to fetch different system and application statistics. 4. Mentoring and Helping Other Team Members. 5. Release Verification 6. Throughput adjustments as per performance workload modelling to match production scenario 7. Order rate calculation and reporting phasewise Project Brief: This is a multi-tier flexible environment for WDC/DAL Project of macys.com. We implement logical use cases in scripts to execute Performance test. We execute set of test cases on every release and report Transaction Response Time, System and Applications Metrics. We execute Load Phasewise Test to unearth the performance issues and to achieve throughput as per production scenario. We also report the order rate on each phase as per the performance workload modelling Project Specific Engagements: ď‚· Test Results Analysis & finding the Performance Issues and Reporting. ď‚· Throughput adjustments in scenario as per order rate on peak days ď‚· Monitoring of Transactions Response Time, Analyzing the Applications and System Metrics, Tuning GC, scanning different log files using splunk & doing method level analysis using Dynatrace. ď‚· Throughput and order rate report generation phasewise using python automated shell ď‚· Error report generation phasewise using python automated shell
  • 4. 4 | P a g e Shuvam’s Resume ď‚· Logical implementation and customization of scripts. ď‚· Setting up or installing monitoring agents using automated shell script or preparing shell script to automate installation. ď‚· Understanding the Client Requirements, creating the scenario to replicate the Test Case & their executions. ď‚· Documentation and Confluence work. ď‚· We are executing load phasewise test pointing to real time MST backend services such as order processing and thus no service virtualization or mocking required ď‚· Different types of data such as POOL, BOPS, BOSS, V2C, etc validation by using automated shell script. Data is provided by Backend services/MST team ď‚· Making data available by Publishing messages on tibco after data validation ď‚· Fetching production access logs of different components from splunk on peak days to calculate/study the component wise peak throughput ď‚· Executing dual DC test (WDC & DAL) from Jenkins via NetCloud and fetch Jenkins comparison report with baseline. Note: Jenkins is integrated with Netcloud using HPI software Academic Trainings, Projects & Achievements: 1. One Month Summer Training in Core Java at HPE education Services. 2. Two Weeks Vocational Training in Advance Telecom at BSNL 3. Published a Journal on IJIREEICE for visibility Performance of FSO Transmission in Between light Fog and Thin Fog 4. Attended two days workshop on embedded systems at IIT, Bhubaneswar 5. Secured 4th position in embedded robotics (embetronix) competition at IIT, Kharagpur (kshitij 2016) Personal Profile: Gender : Male Date of Birth : 28th April 1995 Nationality : Indian Language Known : English, Bengali & Hindi LinkedIn Profile : https://www.linkedin.com/in/shuvam-dutta-b4a891122