Johnson Cyriac
Principal Data Engineer - Enterprise Data Platform @Blume Global
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WORK HISTORY
Principal Data Engineer - Enterprise Data Platform @Blume Global
San Francisco, CA, US
Define the enterprise data architecture strategy and roadmap for Blume\'s logistics and visibility data platform.• Establish an end-to-end AI and ML data architecture to provide a scalable, and efficient infrastructure to support Blume’s AI and Machine Learning vision.• Design a Data Lakehouse architecture to transform the legacy data infrastructure into a modern and unified data ecosystem.• Designed a multi-cloud data-sharing architecture to cater to customers utilizing non-Google Cloud data platforms.• Design and implement a data streaming architecture to enable near real-time analytics capabilities.• Evaluate and select appropriate tools, and frameworks from the Google Cloud Platform for data integration, and storage to optimize performance and scalability.• Build awareness and drive adoption of the latest technologies by evangelizing their business and engineering advantages.• Lead and participate in cross-functional teams and projects, providing data architecture expertise and guidance.
EDUCATION
Bharathiar University
Master of Computer Application, Computers
Acharya Nagarjuna University
Bachelor of Computer Application, Computer Application
ABOUT JOHNSON CYRIAC
Experienced data engineer and data solution architect with proven expertise in driving the development and launch of innovative data products in Fintech, Credit, BNPL, Payments, Supply Chain, and Health Care domains. With over a decade of industry experience, I have honed my project leadership, product management, data analytics, data visualization, and reporting abilities. Work with cross-functional teams to produce effective data products while utilizing my expertise in project management and solution architecture.• Data Analysis | Data Visualization | Product Management | Agile Methodologies | Solution Architecture | Data Engineering | Data Governance• Google Cloud | Cloud Storage | BigQuery | DataProc | Snowflake | Amazon AWS | Redshift | S3 | Python | Pandas | SQL | Tableau | Looker• Teradata | BTEQ | Oracle | PL/SQL | Informatica | Pentaho | BigData | Spark | Kafka | Hadoop | Hive | Jupyter
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