• 16+ years of experience in Data Architecture, Data Engineering & Analytics pipelines in Big Data, Databricks Data Lakes, Hadoop, Data Science, Semantic Web Technologies, SQL, NoSQL on both On-prem & AWS Cloud platforms using Java/J2EE & Python • Experience in AI/ML - Text Analytics, Social Media Analytics, Predictive Analytics, Web Crawling, Semantic Web Technologies Technical Skills:- LakeHouse Platform: Data Bricks Machine Learning: Weka, Scikit, AWS Forecasting, Comprehend, LLM NLP: Core NLP, OpenNLP ETL: Talend Open Studio, Informatica 9.1.0 Hadoop Ecosystem, Spark, PySpark NoSQL: MongoDB, Neo4j, Apache Jena, DynamoDB Relational Database: Oracle, DB2, MYSQL Async Data Streaming: Rabbitmq, Kafka OCR: Tesseract, Tess4j InMemory: Hazlecast, Spring Boot Cache Search: Elastic Search, Solr Cloud: Amazon AWS, Microsoft Azure WebServices : REST, SOAP Containers/Orchestration: Kubernetes, Docker CI/CD: Bitbucket, Jenkins Automation Testing: Selenium, Web driver 2.0 Frameworks: Struts 1.1, EJB 3.0, Hibernate 3.0, Spring Script: JavaScript, DOJO Security: SSL, Encryption Language: Java, Python Operating Systems: Mac, Linux, Windows Domain Expertise:- HCM: HR/Payroll/Time Retail: eBay Online Shopping, Manufacturing Sector, Telecom Banking: Lloyd’s Trustees Savings Bank Credit & Sec, UOB Insurance: Zurich Motor Vehicles Media: Singapore Press Holdings