Nikhil Shahani

DATA GOVERNANCE/TECHNOLOGY IMPLEMENTATIONS - FINANCIAL SERVICES:

Enabled top US investment/private bank to meet strict deadlines set by the Federal Reserve by translating complex federal regulatory reporting regulations into business and technical requirements.

Implementing an Oracle sub-ledger, Financial Accounting Hub and calculation engines.

Conducted workshops and interviews to assess the business and technology requirements for customer analytics and supporting customer MDM solution.

Developed data tech strategy and prioritized roadmap for top national insurance company to incorporate best practices for customer service. Presented to clients Chief Data Officer, leading to implementation of roadmap.

Established a data governance organization, standards and processes for managing enterprise information assets, with customer data as the pilot initiative.

Enabled top US investment/private bank to meet strict deadlines set by the Federal Reserve by translating complex federal regulatory reporting regulations into business and technical requirements.

Spearheaded data tech process analysis and improvement for global banks capital management group, allowing bank to pass stress testing for resubmitted capital plan, allowing the release of dividends to stockholders.

Specializes in Cloud Strategy development and Email / Collaboration Strategy development with a core focus on cloud vendors such as Microsoft Azure, AWS, Office 365, Google Apps, etc. He has extensive experience in Application and Infrastructure Hosting assessments, IT Reviews, ITSM and remediation, and large-scale IT implementations.

As part of the effort for an application migration to the Azure cloud, to perform application migration assessment, planning, design and architecture, configuration of cloud services in readiness for applications migration to cloud platform and securing cloud infrastructure and applications hosted on Microsoft Azure cloud platform
1. Defined KPIs to improve cloud resource monitoring and utilization and identified opportunities across the enterprise to centralize cloud skills and reduce organizational complexity
2. Conducted a baseline assessment of use of cloud across VARIOUS domains
3. Reviewed existing documentation highlighting enterprise cloud strategy and governance processes
4. Our team assessed a subset of applications to determine Cloud suitability/migration path and developed a financial business case for cloud adoption
5. Migrate, Deploy and configure applications on Microsoft Azure cloud platform using Azure cloud services and third-party security services
6.Performed application migration assessment and capacity planning for cloud deployment on Microsoft Azure cloud platform
7. Developed the business reference architecture; developed an inventory of current applications, capabilities, integrations, dependencies and risks; defined the principles and standards for architecture decision making; developed the target state application architecture and application strategy; created a high-level tactical plan for moving towards the Target State Application Architecture.
8. Planned, Implemented and managed the GCP infrastructure and Developed Python, Shell scripts and Data flow applications for Ingestion/Transform data.

Designed project work flow diagrams so as to keep the understanding simple.
Worked extensively to reduce variance in data source type and layout by suggesting and designing standard templates for inward data and suggesting ETL methods to do the same.
Prototyped mock up screens to provide a virtual look and feel of final graphical user interface.
Extensive experience working in Agile environment using Scrum methodology and waterfall methodology of software development.
Delivering Data Warehousing and Analytics solutions utilizing Teradata, SAS and SAP.
Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining and resolving data mapping and data modeling issues using Pentaho Data Integration, Talend, SAP Data Services
Building reports and data models in Oracle SQL Developer Data Modeler, IBM Infosphere Data Architect, SQL Power Architect and Enterprise Architect based on performance measurement metrics, allowing for business and technical users to provide insights into the organizations data;
Developing, testing, and automating ETL (Extract, Transform, Load) procedures using Microsoft Azure, Amazon Redshift, Snowflake and Micro Focus Vertica to perform data warehousing and data integration functions.