Create Kafka pipeline to publish logs and events. Used Spark to process the logs and events and push to the central logging system. Used ELK and Grafana to check status on dashboards.

To provide the SPARK statements to find the answers to the given questions about marketing analysis.

To find the clusters using k-means algorithm.

To automatically decide the migration mode Offline/Online, initiate migration, and generate logs.

Developed the code to generate the PDF documents having the data from provided XML documents.

Code was developed to replace the use of ThunderHead tool, to reduce the project cost.

Multithreading was used extensively to get the best performance.

XSLT was used to design the PDF pages.

Used Apache FOP to create the PDF documents & provided the 3 layer security of the PDF documents.

To generate and validate the authorization token.

Analysed the work of manual testers.

Analysed the tasks which can be automated.

Designed & developed the application to automate the test scripts created by Manual testers.

Application was designed in such a way to minimize the efforts of testers both to use the application & execute the scripts, enabling them to think more about the other scenarios to test the actual application.

Interface to connect with the Oracle database & execute the queries & display the results to user.

Developed the code to parse the existing BM rules to avoid to rewrite those rules in Drools.

Providing the City Police information, its departments, its events, procedures & other helpful information for the citizens.

Authorization Token Generator Java, MySQL, RestAPI To generate & validate the authorization token.

Automated Data Migration Java To automatically decide the migration mode Offline/Online & initiate migration & generate logs

Marketing Analysis Apache Spark To provide the SPARK statements to find the answers to the given questions about marketing analysis.

K- Means Apache Spark & Scala To find the clusters using k-means algorithm

Create Kafka pipeline to publish logs & events. Used Spark to process the logs & events & push to central logging system. Used ELK & Grafana to check status on dashboards

Department for Works & Pension UK

H&PS

Core Java, Oracle(SQL & PL/SQL), RFT, JPA, JDO,

Eclipse Radiology Workflow Solutions(RWS)

H&PS

MySQL, Unix, Eclipse

Telecom Italia

Telecom

JSP/Servlets, Core Java, Hibernate, Oracle(PL/SQL), MySQL, Eclipse

IVLM

Public Services

Core Java, EasyMock, SOAP Web Services, JPA & Oracle, Maven, SVN, Eclipse

GSI(Credit-Suisse)

Banking & Finance

OIM(Oracle)

Platform Services

Core Java, Rest Web Services, JUnit, Mockito, Git, Oracle, SpringBoot, Jersey, Eclipse

IDA_DS(IBM)

Data Services

Core Java, EMF, ClearCase, Eclipse, DB2

Estore(Intuit)

eCommerce

Core Java, ATG, Oracle, SQLServer, Adobe Flex, HTML, CSS, Git, Jira, AWS, Splunk, JavaScript

Payor

Insurance

Core Java, Oracle, SQL Server, Junit, Mockito, Maven, Git, SpringBoot, Eclipse, Linux, Jira, Kafka, Liquibase, JMeter, AWS

Infrastructure Monitoring

Core Java, SQL Server, Python, Elastic Search, Rest Services, Maven, SpringBoot, Eclipse, Jira, Git, JFrog, Docker, Kubernetes, React