Piyush Shah
AI and Data Evangelist | Empowers customers by building AI-driven data platforms and harnessing Agentic AI for sharp, actionable insights that boost business decisions.
- Role
- Ai and Data Evangelist at Wipro
- Location
- Pune, IN
- LinkedIn followers
- 500 followers
About Piyush Shah
I am AI and Data evangelist with over 20 years of experience and relevant 10+ years in…
Experience
Ai and Data Evangelist
Oct 2019 — Present · Pune, IN
Designing, constructing, and managing the cloud data lake and data warehouse environment including the data ingestion, staging, data quality monitoring, and business modeling.•Responsible for the cloud data architecture on all aspects (functional and non-functional) around design of a cloud-based solution implementation.•Evangelizing break through analytics solutions through adoptions of cloud native technologies and Data Analytics.•Collaborating with Product and Engineering leadership to establish an architectural plan across multiple solution areas, in consideration of the product roadmaps.•Participating in design and engineering of analytics solutions that have significant strategic impact and achieve long term ambitious advantage.•Lead data practices in the region through solution architecture, consultancy and delivery of complex data projects.•Collaborating with business leaders to provide experienced technical advice and influence strategic decision making.•Implementing organization DevOps strategy in various operating environments of Linux and windows servers along with cloud strategies•Work closely with internal sales teams to develop new business opportunities with both new and existing clients.•Contribute to the growth of a global data practice, through thought leadership, development of new commercial offerings and improving organizational practices.•Designs, develops, deploys, and supports sustainable data/solutions architectures such as design patterns, reference architecture, conceptual, logical, and physical data models•Build proof of concepts (POC), minimal viable product (MVP), and produce scalable data architecture solutions with end-to-end delivery. •Data ingestion from different file types (ex: XML, JSON, Avro, Parquet, and ORC) into databases.•Build data models using Kimball data model, dimensional modeling, star, and snowflake schema design and development•Build reusable datasets and models with a single source of truth (SSOT)
Skills
- Requirements Analysis
- Sdlc
- Data Warehousing
- Solution Architecture
- Oracle
- Software Development Life Cycle (Sdlc)
- Pl/Sql
- Microsoft Sql Server
- Business Intelligence
- Sql
- Informatica
- Requirements Gathering
- Software Project Management
- Agile Methodologies
- Business Analysis
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