Certified Business Intelligence and Analytics Professional Having strong expertise of Implementing Business Intelligence & Enterprise Data warehousing (EDW) life cycle especially part in Data Integration, Applied Analytics and Big data involved in hands on phase of design, development, Testing, operations and reconciliations. Possess strong business and Technical knowledge of Telecommunications, Insurance and Banking Industry and skills necessary to analyze and investigate the business issues, design solutions and implement them. Relied as a key advisor in driving global multi-million-dollar growth gains in customer loyalty and record-setting profit improvements. Area of Expertise: -Business Intelligence Enterprise Data Warehousing Data Integration (ETL) Big data Applied Analytics Visualization Data Modeling Technical Solution Design Cloud Computing Contextual Marketing Team Management Product Owner Data Analyst Data Science Solution Architecture Insights & Analytics Data Engineering Skills & Tools: -Hands on Data Integration Tools – Informatica – IBM Data stage – Talend -Hands on Business Intelligence Tools – IBM Cognos – SAP BO – Qlik - MSBI -Hands on Data Bases – Teradata – IBM DB2 – MS SQL server – Vertica – Postgress-NoSQL -Hands on Coding Languages – SQL/TSQL/JSQL/SPARKQL/HIVEQL – C/C++/C# - Shell – Python -Information Data Modeling–Kimball/Inmon–Dim-modeling-Data Vault-OLAP Cubes-Tool Erwin -Big data architecture – Lambda – kappa –Open Architecture TOGAF -Big data Stack - Horton works-Apache Spark-Hive-Pig-Yarn-Oozie-Sqoop-Flume-Presto -Data Science (ML & Applied Analytics) – Knime – Jupyter Notebook - Rapid miner -Agile (Scrum and Kanban ) flavor implementation Approach Dataops CI/CD -Technical & Functional Documentation -Scaling Technologies - Open Stack - Dockers - Kubernetes - VMware -Version Control Tools - Jira - Git - Trello - Svn ©