Career Overview
Thought Leader, Transformational, Visionary, and Results-driven Chief Architect/Consulting Partner with over 30 years of Enterprise Data Architecture, Engineering, and IT expertise.
Proven track record in leading the design and development of global data and analytics projects across multiple IT streams, including BDAT architecture, legacy data modernization (AWS, Azure, Snowflake), modern data architectures (Data Lake, Data Mesh, Data Fabric, Lakehouse), cloud computing & digital transformation.
Skilled in leveraging Generative AI to automate data pipelines, enhance decision-making, and optimize enterprise solutions.
Expertise in delivering ROI-driven strategies, managing risk through strategic frameworks, and fostering innovation using cutting-edge technologies and agile methodologies.
Ability to learn new innovative technologies, drive change, multitask, collaborate, customer success, resolve complicated problems and proficient in Generative AI for Data and Analytics.
Cloud Computing and Digital Transformation
Legacy Data & Application Modernization : AWS, Azure, Snowflake, Cloudera, Hortonworks and Couchbas.
Cloud Models : IaaS, PaaS, SaaS on Public, Hybrid and Multi-Cloud.
Modern Data Architecure : Data Lake: AWS & Azure, Modern Data Warehouse, Data Mesh, Data Fabric, Data Lakehouse.
Data Domain : Data Observability, Data Architecture, Data Management, Data Governance, Data Analytics & Business Intelligence, Metadata, Masterdata, Data Quality, Data Catalog, Data Lineage, Security & Privacy, Data Clean Room.
Data Monetization : Improving Business Processes, Enhancing Customer Experience, Data as a Service (DaaS).
Cloud Transformation : Rehosting, Replatforming, Refactoring, Repurchasing, Retaining.
Data Pipeline : AWS Glue, Azure Data Factory, Snowflake Snowpipe, Cloudera Apache Spark, Databricks Kafka with Spark, Couchbase N1QL.
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Domain Expertise, Methodology, Skills
Industry Expertise : Management Consultancy, Banking, Finance, Insurance (BFSI), Life Science and Healthcare, Media and Entertainment, Digital and Publishing, Commercial and Retail, and Government.
Cloud and Database Best Practices : AWS WAF & CAF, Azure WAF & CAF, Oracle Methods, Snowflake Frameworks.
Frameworks & Methodologies : SDLC, Agile, DevOps, TOGAF 9.1, ITIL v3 & v4, Lean IT, COBIT, Digital Transformation, Cloud-Native Architecture, Data Governance & Compliance, Lean Six Sigma and Design Thinking.
Transferable Skills : Thought Leadership, Technical Training, Mentoring, Coaching, Critical Thinking, Communication, Teamwork, and Creativity.
General Electric Growth Values : External focus, Clear thinker, Imagination & Courage, Inclusiveness, and Expertise.
Relational Database : Oracle 19c/12c/11g/10g/9i/8i, OEM 12c, Oracle Exadata, RAC, Data Guard, Database & Audit Vault, SQL*Server 2019.
Data Warehouse & Data Mart : Oracle, SAP Business Objects & Report, Informatica ETL tools, Erwin, TOAD..
Product Development & Languages : SQL, PL/SQL, Pro*C, Perl, Data Modeling, Design, Development, Star & Snowflake Schema, 200+ Vendor Apps.
OS and xOps : OS (SunOS, Unix & Linux), FinOps, DevOps, AIOps, DataOps.
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Generative AI, NoSQL Database, Cloud RDS and Warehouse Database
NoSQL Database : HBase, MongoDB, Cassandra, DynamoDB.
Cloud RDS and Warehouse Database : AWS RDS, AWS Redshift, Azure Synapse Analytics, Cloudera Data Warehouse.
Generative AI and Data Analytics : ChatGPT v3 & v4, Prompt Engineering, Python, SQL, AWS SageMaker, Azure Machine Learning and Google Vertex AI.
