

Data Engineering Lead and Data Architect with 11+ years of experience designing and scaling enterprise data platforms and cloud architectures across retail and financial industries. Expert in distributed data systems (batch and streaming), managing large-scale environments (200+ TB), and building cloud-native data platforms on Google Cloud Platform. Strong experience enabling Machine Learning and AI solutions by building reliable data pipelines, supporting machine learning workflows, and ensuring high-quality, well-governed data for analytics and AI use cases. Proven track record leading teams, implementing data governance frameworks, and delivering scalable, business-driven data solutions aligned with enterprise architecture standards.
Data Engineering & Architecture: Data Platforms, Data Architecture, ETL, ELT, Data Pipelines, Data Modeling, Data Warehousing
Cloud & Platforms: Google Cloud Platform (GCP), Cloud Architecture, Azure
Big Data & Streaming: Apache Spark, Kafka, Hadoop, Distributed Systems
Programming: Python, SQL, Java, Scala
Databases: Oracle, SQL Server, BigQuery, MongoDB
Data Governance: Data Governance Frameworks, Data Ownership, Data Quality, Metadata Management, Data Classification