Software Engineer, Java/XQuery DeveloperÂ Resume NJ - Hire IT People

SUMMARY:

Software Engineer with 4+ years of experience in Healthcare Insurance and Video streaming industry with focus on XQuery/Java Programming with NoSQL Database (MarkLogic).

TECHNICAL SKILLS:

Languages: Java (JEE), XQuery/XPath, Java Script/ Node.js, Shell Script

Web: XML, JSON, HTTP/REST, Semantics RDF

Database: MarkLogic (NoSQL) v7/8/9, Oracle 11, PL/SQL, SPARQL

OS: RedHat 6/7, CentOS 7, AWS Linux, Mac OSX, Windows

Tools: WireShark, TcpDump, Selenium, Curl, Git, JIRA, BugTrack

PROFESSIONAL EXPERIENCE:

Software Engineer, Java/XQuery Developer

Confidential, NJ

Responsibilities:

Developed XQuery Code for zip code based facets implementation for diagnostic center data.
Participated in multiple Java Client revisions utilizing MarkLogic Java API.
Developed multiple Java Model classes to accommodate changing Data repository.
Wrote a shell script and curl based traffic to simulate update request to tune Merge Configuration.
Used Query Meters, Query Trace and Query Plan to optimize Query to use existing Index better.
Semantic Triples Performance issue troubleshoots based on Meters DB/Monitoring History.
Worked with product development to integrate new requirements into ML application.
Experienced in working with MarkLogic Support and Professional Service team.
Reloaded Database with updated insert/write permissions to manage newly created Users
Wrote XQuery to trigger weekly schedule Force Merge on Cluster.
Weekly coordination with QA, business analyst and offshore Performance Stress team.

Software Engineer

Confidential, NJ

Responsibilities:

Participated in Development of proof of concept Application for Confidential BigData initiatives with MarkLogic database with Deployment scripts, Data integrity test and Data load setup.
Shell script Curl REST call to upgrade Cluster, create Forest, Database, and App Deployment.
Participated in MarkLogic REST Admin API and scripting deployment tasks.
Built Gradle deployment script to deploy staging cluster on new hardware.
Utilized Docker container to verify new features and Gradle deployment on local machines.
Installed and verified application on AWS Linux running MarkLogic AMI.
XDQP Timeout Error Debug and modification to make cluster more resilient during peak load.
Weekly Monitoring History Resource usage export for Management review.