Parwaz Dalvi

About Parwaz Dalvi

Seasoned, Accomplished, and Hands-On Engineering and Technology Leader for Data, ML, AI & Cloud, GenAI Enabler, Adopter & Enthusiast, Consultant, Enterprise Data Architect, Teacher, Trainer & Mentor with over two decades of experience.Excellent Technical, Analytical, Leadership, and Interpersonal skills. Ability to Lead, Mentor, and Groom Technical Team. Have built grounds up, led, and people-managed a team of around : 100 Architects and 1300+ Engineers across Data, ML, Platform, and Software. Have Architected, Designed, and Implemented over 25+ End-to-end Large ML-AI, Data Lake, Data Warehouse, Business Intelligence, Big Data, Data Migration, and Information Management Solutions, on-premise and multiple clouds (GCP, AWS) solutions. Expertise in providing solutions for Enterprise-wide business transformation solutions for Data and Cloud, Machine Learning and Artificial Intelligence, Data Science, Business Intelligence, and Data Warehouse across domains like Media and Entertainment, Healthcare, & Telecom“TOGAF” Certified Professional. Adept in creating road maps, solutions, technical and technology architecture, and design - From Conceptualizing to Implementation, working on Proof of Concept (PoCs), Proof of Technology (PoTs), Frameworks, and Creating Re-Usable Artefacts, Whitepapers, and Case Studies.Passion for Teaching, Training, and Research. Expertise in creating course content and teaching. Have conducted multiple classrooms, and online sessions for corporates like IBM, HP, Fiserv, Persistent Systems, L&T Infotech, TCS, Upgrad, Bridge SOM, etc.Competencies and Skills:Data, AI/ML, GenAI & Cloud - Data Warehousing, Big Data, Machine Learning, Deep Learning, Generative AI, Data Science, Business Intelligence, Modern Data Architecture, Data Modeling, Data Lake, Delta Lake, Lakehiosue, Data Mesh, Databases, Data Governance, Distributed Computing, Python for Data Science, CNN, RNN, Regression, Classification, Clustering, Reinforcement Learning, NLP, Inferential Statistics, Hadoop, HDFS, Redshift, Hive, SPARK, Athena, Cloud Storage, Cloud SQL, Big Query, Dataflow, DataProc, IAM, etc, Databases – RDBMS, Columnar, NoSQL - Key Value Pair, Document DB, Data Modelling, Data IntegrationInterest:R&D in Information Mgmt aimed at seamless information integration - Next-generation data stores, their architecture, Exploratory Data Analysis, Machine Learning, and Artificial IntelligenceMetadata & its usage for better information integration.

Experience

1. Director, Data and Analytics Head of Data, Ml & Ai Engineering

   EPAM Systems

   Jul 2024 — Present

   Head of Data, ML & AI Engineering - 1300+ EngineersGenAI for Solutions, ML Engineering, AI (GenAI) Engineering, Data Software Engineering, Data Analytics Engineering, Data DevOps Engineering, Data Quality Engineering, Competency & Capability Enhancement.

Education

• University of Mumbai

  Bachelor of Engineering (B.E.), Electronics

  1997

• Boys Town Public School

  High School, Mathematics, Science

• International Institute of Information Technology Bangalore

  Post Graduate Diploma in Machine Learning and Artificial Intelligence, Artificial Intelligence

  2019 — 2020

Skills

• Big Data
• Master Data Management
• Informatica
• Solution Architecture
• Olap
• Data Modeling
• Data Integration
• Erwin
• Etl
• Data Quality
• Extract, Transform, Load (Etl)
• Data Warehouse Architecture
• Databases
• Db2
• Performance Tuning
• Data Warehousing
• Big Data and Cloud - Architecture and Design
• Data Migration
• Integration
• Business Intelligence
• Datastage
• Data Governance
• Oracle
• Data Mining