-Overall IT Experience hands on leadership 20+ years of experience in IT Operations across different domains/verticals including multiple regions/zones EMEA & APAC onsite assignments.
-SME & Responsibilities – Practice Leadership, Presales Consulting, Enterprise Data Architect, Client Partner, CoE Digital Practice, Multi-Cloud Big Data Architecting, MLOPS & AI & ML Architect
-Presales & Digital Analytics Practice: Relevant experience in leading Digital, Customer Experience, Design the E2E data platform solutions which includes Data Analytics,. A proven visionary and strategic leader that translates objectives into desired business outcomes, created organic and inorganic growth plans for attaining business goals. dedicated to maintaining a reputation built on quality, service, and uncompromising ethics. Strong Industry exposure in BFSI, Telecom, Automotive, Consumer Products, Healthcare & Manufacturing.
-Client Partner: Work in close partnership with multi-disciplinary team members to consulting the cloud best practice like Big data engineering, AWS, Azure, GCP cloud data platform services, advanced analytics for meetings goals in the modernize platform, also involve the business strategy to technology capabilities, structured planning detailed solutions with our clients. Ensuring the efficiency, security, and support of the organization’s goals such as Governance Analytics, Architecture Review Board, creating methods for compliance architecture, E2E big data analytics / AI/ML & data science projects starting from formalizing the requirements from the business.
-Presales Consulting (D&A) – Results driven and dedicated Presales Consulting with an extensive experience for all regions like EMEA, APAC & US, Effective communicator, and negotiator with great critical thinking skills, gathering requirements and technical solution assessment, RFI/RFP, Partner Interaction, Relationship building, Customer Focus, Demonstration & Presentations, Helping Sales Team, POC & R&D
-Multi-Cloud Data Platform Practice- Customer Requirement & Business use case analysis, Data profiling, KPI requirements elaboration, Discovery, Foundation, Legacy to Cloud Data Streaming & Batch Processing, Data modeling, Data mapping, Data Management & Integration, Digital Data Platform, Data Lake house, Data Mesh, BI Reports development, AWS. Azure, Google Professional Solution Architecting which includes Data Engineering, E2E Migrations, DWH/ETL/ELT (Batch/Streaming), SQL, NOSQL, Python, AI/ML etc.,
-MLOPS & AI/ML Practice – Data Science / MLOPS automation design, MLFLOW (Machine learning)