Suvro Dutta

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GCP Data Architect

Mar 2023 - Current (3 years 2 months)

• Led the cloud migration strategy, moving legacy data systems to GCP's BigQuery and Cloud Storage, improving data accessibility and performance. • Designed and deployed cloud-native data pipelines using Cloud Pub/Sub and Dataflow, ensuring real-time and batch data processing for analytics. • Architected GCP data solutions by leveraging BigQuery for analytics and Cloud Functions for event-driven processing. • Collaborated with business and IT teams to design data models, ensuring that data ingestion processes met both operational and analytical needs. • Implemented data security solutions in GCP, utilizing IAM, Cloud Security Command Center, and KMS for protecting sensitive data. • Created cost-effective cloud storage solutions using

GCP Data Architect

Zebra Technologies

Mar 2023 - Current (3 years 2 months)

• Led the migration of on-prem data systems to GCP, utilizing BigQuery and Cloud Storage to improve data storage and analytics efficiency. • Architected end-to-end data pipelines using Cloud Pub/Sub, Dataflow, and BigQuery to process real-time and batch data for large-scale applications. • Implemented data workflows using Prefect for orchestrating end-to-end pipeline execution across cloud platforms. • Engineered robust data pipelines utilizing DBT to transform and model data for scalable analytics. • Developed modular transformations using DBT to ensure consistency, reusability, and maintainability across multiple data models. • Utilized Git for version control of data engineering workflows and DBT projects to improve collaborative d

Senior GCP Solution Architect

Gentis Solutions

Feb 2017 - Feb 2023 (6 years 1 month)

• Led the design and migration of a large-scale on-prem data warehouse to GCP, utilizing BigQuery for data analytics and Cloud Storage for storage management. • Architected GCP-based ETL pipelines using Cloud Dataflow and Pub/Sub, automating data ingestion and processing to meet business reporting requirements. • Worked with stakeholders to develop a unified data model for cloud-based data warehousing on BigQuery, ensuring data accuracy and consistency. • Implemented GCP data governance frameworks using Data Catalog and IAM, ensuring data security and compliance with regulatory standards. • Optimized performance of BigQuery by implementing partitioned tables, clustering, and efficient SQL queries, reducing data retrieval time by 40%. •

Azure Data Engineer

GLT Logistics

Jul 2010 - Sep 2013 (3 years 3 months)

• Designed and deployed high-performance cloud storage solutions using Azure Blob Storage and SQL-based systems, improving data processing efficiency for business analytics.. • Developed robust ETL workflows leveraging Azure Data Factory and Azure Logic Apps to automate data movement and integration across on-premises and cloud environments. • Led the migration of legacy on-prem data systems to Azure-based platforms such as Azure Storage and Azure Virtual Machines, ensuring enhanced scalability and data availability. • Collaborated with business stakeholders to establish data requirements and developed Azure-based models for seamless data reporting and analytics using Azure SQL Database. • Partnered with IT teams to provision and manag

Cloud Data Engineer

Accenture

Jun 2007 - May 2010 (3 years)

• Designed and implemented data storage solutions using on-premise technologies such as SQL Server, Oracle, and Hadoop, enabling efficient and scalable data processing for analytics. • Worked with business stakeholders to develop and deploy on-premise data models for business intelligence and analytics using tools like SQL Server Analysis Services (SSAS) and Teradata. • Architected and deployed data pipelines using Hadoop and Apache Kafka, streamlining data ingestion and ensuring efficient processing for large datasets. • Led the migration of legacy on-prem data systems to AWS S3 and Amazon RDS, reducing operational costs and enhancing data accessibility for business operations. • Implemented data governance best practices using Apache

Data Analyst

Amazon

May 1999 - Apr 2007 (8 years)

• Led the design, implementation, and optimization of enterprise-level data storage solutions using SQL Server and Oracle, ensuring efficient data management for large-scale analytics across multiple business units. • Architected and deployed high-performance data warehouse solutions, utilizing SQL Server Analysis Services (SSAS) and Oracle for BI reporting and data aggregation. • Spearheaded the migration of legacy data systems to modern database platforms, such as SQL Server and Oracle, ensuring enhanced data integrity, scalability, and availability. • Developed and implemented data governance frameworks using native SQL Server and Oracle security features to ensure compliance with regulatory standards like SOX and HIPAA. • Implement

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