PROFILE:

Accomplished leader, architect, manager with 19+ years of experience in IT. Strong technical & functional knowledge specialized in designing solutions for data integration, Enterprise application integration, big data / cloud computing (AZURE, AWS), analytics & data science for Oil & Gas, Pharmaceutical, Banking, Insurance & Government verticals.

TECHNOLOGY STACK :

Cloud technologies: Microsoft Azure (Data factory, Databricks, Azure data lake & data warehouse), Amazon AWS.

BigData: Cloudera, Hadoop, Apache Spark, Flume, Kafka, Impala, Scoop, Hive

Database: MS SQL, Oracle SQL, Azure Data warehouse. BI - Reporting - Tableau, Cognos, Power BI, SAS,

Build Tools: Jenkins, Github APIs SOAP / Restful Web Services

ESB: Oracle WebLogic, IBM WebSphere, MS Biztalk Webservers IIS, Tomcat. ESRI- ARCGIS

EXPERIENCE:

Confidential

Sr. Consultant (Solution Architect) - Big Data Analytics

Responsibilities:

• Analyze business requirements and conduct technology & architectural system evaluation to come up with a solution prototype
• Establish customized solution architecture strategies through design for big data architecture solution and work within IT to develop and execute the plan for future state vision.
• Work with EA on Organization ecosystem Governance for the proposed solution.
• Collaborate with data architect / engineers to establish data governance / cataloging for MDM/ security (key vault, network security schema level & row level), resource groups, integration runtime setting, integration patterns, aggregated functions for data bricks development.
• Collaborate with Data scientist to outline the data science life cycle management & production process, Mendix set up in P66 cloud environment to help create the UI to consume the data models

Technology Stack: - Microsoft Azure (DevOps, Data Factory, Data bricks, Datalake (polybase), SQL server, Mendix, Alteryx, Tableau. AWS (Comprehend ML engine, S3)

Confidential

Sr. Consultant (Solution Architect) - Big Data Analytics

Responsibilities:

• Analyze business requirement conduct technology & architectural system evaluation
• Collaborate with team conduct solution design review adhering for SAP-invoice, supply chain & CRM integration and creating dashboards in Cognos, Tableau
• Manage and escalate design challenges to address performance issues that can add risk to the project
• Collaborate with Cloudera & AWS partners to evaluate and outline the big data solution for deice analytics.
• Work with EA on setting up Cloudera cluster, security and data governance standards within the organization ecosystem
• Define procedures and process to ensure solution delivery

Technology Stack: Commercial Analytics - MS SQL, Cognos, Tableau, JIRA, Confluence POC - Amazon AWS, Cloudera data platform with Spark & Kafka, MS SQL server, Tableau, JIRA

Confidential

Sr. Consultant (Big Data Analytics & MI Reporting)

Responsibilities:

• Project POC- Big data solution architecture for Confidential Global Risk collection business
• Responsibilities -
• Analyze business & technical requirement and collaborate with team stakeholders to outline the big data solution for AR systems integration on a global scale, data lake formation, MDM, security & governance and then further integration of the same with Avaya call center customer calling list

Technology Stack: - Multi-node Cloudera Hadoop cluster, Oracle SQL, SAS (LASR), IBM DataStage, JIRA

Confidential

Sr. Consultant - (Data warehouse, BI Analytics)

Responsibilities:

• Under life science pillar of OPTUM labs, worked on integration solution design and execution for EMR & insurance claims data for research projects for customer analytics.
• Liaise with project stakeholders/ data architects to outline roadmap for continuous integration environment formation

Technology Stack: - MS SQL, IBM DataStage, Rally

Confidential

Sr. Consultant - (App development)

Responsibilities:

• Solution design for Mobile application development and global deployment, FATCA regulatory project
• Collaborate with globally distributed teams, define SLA’s, engaging regional level stakeholders from Business / Infrastructure/regional development team for integration & UAT for each entity

Technology Stack: - FATCA - IBM Mainframe banking system, App development - PHP, IBM WebSphere, Oracle SQL server, ActiveMQ

Confidential

Sr. Consultant (Data Integration)

Responsibilities:

• Web methods decommission program, migrating 14 different application from Oracle Web-Methods to IBM web sphere, integration with Mainframe, SAP (Finance), Web Logic & Data Power.

Confidential

Sr. Consultant (Data Integration)

Responsibilities:

• Managed Cerner RADNET HL7, DICOM integration with Philips iSite, Siemens Syngo Dynamics (Cardiology) and OSLER (Finance) at Confidential . Implemented Medworxx (bed management system) integration with Mckesson and GE-Carecast at Confidential .

Technology Stack: - Microsoft BizTalk integration, MS SQL server

Confidential

Sr. Management Systems Analyst

Responsibilities:

• Enterprise Asset Management Tool (RIVA) and integration using Oracle 11g with PeopleSoft, Remedy (ITIL tool)
• Work closely with the clients in various business areas (business units) to define requirements, conduct solution design, business analysis and architecture design to define solutions.

Technology Stack: - RIVA, Oracle 11g, PeopleSoft, Remedy, Tibco, ARC GIS

Confidential

Sr. Integration Consultant

Responsibilities:

• Managed PARIS (Community Care Information system) integration with Eclipse’s SCM, Logibec’s Clinibase, CDMIS (Chronic disease management system) and creation of a complex report structure using Crystal report 9 and Oracle 8.0. at Alberta Health Services
• Pension Pay roll data migration from mainframe to window at Alberta Pensions

Technology Stack: - Oracle e-gate, JCAPS integration engine, HL7, Oracle SQl server

Confidential

Product Lead /Sr. Functional Analyst

Responsibilities:

• Responsible for product development and maintenance releases for three legacy products
• Coordinate with the management team in UK to prioritize the end user issues, requirements.
• Defining scope and cost estimates for each scheduled maintenance release