• Built Deloitte’s Amazon Connect Go To Market Offering from scratch, training resources in USA, Canada, UK, Europe and India on Amazon Connect and AWS AI based solutions.• Technical Lead for Global Amazon Connect Practice and expanded it through salesforce practice with Service Cloud Voice offering.• Architecting solution to meet customers contact center needs using AWS technologies stack and 3rd party software solutions.• Integrating legacy contact center solutions with Amazon Connect.• Built integration of Amazon Connect with CRM including Salesforce, Servicenow, Zendesk.• Developed accelerators and assets on top of Amazon Connect and integrating it with other AWS technologies and 3rd party Partner solutions. • Lead and Trained team members in USA, Canada, UK, Europe and India for Amazon Connect and other integrated technologes.• Implemented AI Driven Speech/Text Analytics by blending call recording data with IVR, ACD, CRM, QM and Amazon Lex data. • AI Driven Social and Text Analytics for customer’s interactions and drive self-serve functionality through digital channels.• Involved in pre-sales and demonstration for AI Driven Amazon Connect Contact Center solution offering.• Providing SME and Advisory support for Amazon Connect and AI based global deployments.• Developed and Launched Amazon Connect Training program through Deloitte’s Cloud Institute and trained over 150+ employee globally.• Lead RFPs for Cloud based contact center and prepared templates and presentations for on-going RFP and proposals.• Participated in Customer oral walk through process and lead Amazon Connect based presentations and Q&A.

• Assisting customers to enable cloud transformation at the enterprise level including data strategy, cloud migration, big data and analytics. • Building the strategy road maps and TCO analysis for C level executives and VPs.• Identifying motivators for cloud adoption and unlocking Enterprise challenges.• Cost/Benefit modeling and creating compelling business cases for migration into AWS.• Architecting and designing analytical platform to support batch, interactive and stream workloads on AWS.• Providing expertise and enterprise solutions to AWS customers and partners for AWS Big Data platform adoption. • Conducting a workshop with Customer regarding AWS Architecture Plan and Design topics.• Assist Customer with general review of conceptual architectural models on AWS Services.• Assist Customer with review of possible deployment patterns on AWS Services. (e.g., re-hosting, refactoring, revising, rebuilding and replacing)• Advise Customer on general best practices for architecting on AWS Services, which may include general best practices applicable to Customer’s identified use case(s) on AWS Services.• Assisted customers in resolving core performance challenges in Redshift and Data Migration into AWS.• SME on Amazon Connect Service - Successfully migrated few IVR and call centers for one the largest financial company.• Provided advisory services on integration and use of AWS Services in following areas:o Built Data Lake on S3 using Serverless AWS Technologies.o Delivering best practices around Big Data Security.o Introduced actionable Advance Analytics using Artificial Intelligence services such as Lex, Transcribe, Comprehend etco Migrating Database workloads into Aurora, Oracle on EC2, Redshift, S3o Migrating Enterprise IVR and Contact Center solutions into AWS using Amazon Connect. o Integrating Amazon Connect with other AWS services such as Kinesis, Firehose, Redshift, Lambda, Lex, Transcribe, Comprehend, CloudWatch, QuickSight etc,

• Champion around BI, Build and support BI business cases (BI ROI), educates executives including C-level on the value of BI. • Led implementation of the Business Intelligence strategy across multiple products for Genesys Cloud Product offering. • Introduce best-in-class and innovative tools and techniques to enable business to leverage all data as a strategic asset to drive customer loyalty and business performance.• Provided technical leadership as well as hands-on design and development of the business intelligence solutions. • Working with BI hardware, software and services vendors. Negotiated and structured contracts favorable to the organization.• Leading and motivating large, talented, globally distributed, engineering teams. • Support other groups within company to on board new Customers, to utilize best BI Product Features to meet their needs.• Proficient in all aspects of BI processes, technologies and architectures.• BI delivery mechanisms: portals, thin/thick clients, email/mobile phone alerts, etc • BI tools such as report builders, ad-hoc queries, OLAP, dashboards, BAM (business activity monitoring), data mining and predictive modeling. • Design physical data architecture options such as enterprise data warehouse, independent data marts • Attract, hire, retain and motivate top BI talent: business analysts and technologists.• Evaluate, develop, and identify specifications, best practices, and integration as well as proper use techniques for emerging technology as it relates to overall design scalability.• Develop challenging performance and development objectives for all direct reports and provide regular feedback and coaching to maximize potential, build on team successes, and overcome challenges, delegating tasks to employees and build a healthy work environments.

• Provided technical leadership, career development, and mentoring to team members across the globe. • Maintained high morale and motivate engineers to go above and beyond.• Hiring, training and managing Software engineering and Quality engineering teams Globally (USA, China and Poland); Conducted Employee Performance reviews, communicated positive and negative feedback.• Assigned areas of ownership. Ensured engineers had clear priorities and adequate resources.• Migrated CX Analytic Product into Cloud, which includes Data Warehouse, ETL and BI• Followed Agile Scrum methodologies and doing production releases almost every 15 days. Acted as a scrum master for ETL and BI Projects.• Lead, and oversee the project management life cycle from conception through completion that includes defining Product Roadmap, assessing business requirements, scoping, planning projects, initiatives, budgeting, forecasting, tracking, reporting project status and managing deliverable, production deployments, support and operations.• Meet with executives and business users to gather the requirements, convert into functional requirements.• Reported weekly trends highlighting product performance and team status against committed milestones and projects.• Research, Evaluate and Defined long-term business strategies for Database, BI and ETL Technologies.• Vendor Management for BI, DB and ETL software vendors.• Evaluated and Implemented MicroStrategy Cloud solution for Database, Data Integration and BI technologies.• Communicated status, risks to meet the deadlines, and offered mitigation strategies to ensure on-time delivery of all committed projects to cross-functional teams.• Participated in architecture discussions for ETL and BI Development.• Involved in Dimensional Data Model Designs with Star Schema for Dimensions and Fact Data• Documented product boot camp, Dev/QE Processes and training materials for new hires.