Senthil Kumar Somasundaram Email & Phone Number

Campbell, California, US

Passionate Data Architect with a mission to optimize healthcare services through cutting-edge cloud solutions and clinical data management. Currently spearheading innovation and excellence in a customer-facing role at a leading healthcare service provider. Bringing a proven record of crafting and executing data-driven strategies for enhanced patient care.

Campbell, California, US

Key responsibilities are to partner with P&C Insurance customers in their Data Modernization Journey on Cloud, delivering successful results with a focus on Project Success & Process Improvement.

Campbell, CA, US

Responsible for leading the definition of current and future state solution architectures whichincludes evaluation, selection and integration of vital technical components to build solution designsthat support the defined functional and non-functional requirements. Provide complete architecturedesigns that consider functionality, cost, performance.

Santa Clara, CA, US

Agilent business needs to form a data lake on cloud platform for their ML, Data analytics and BI Dashboard data requirements:Engaged as a technology leader, take responsibility taken as a Technical Architect, and come up with architectural blue print and project delivery road map to meet Agilent business requirement in terms of integrate with data security.

Oakland, California, US

• Worked as a Sr. Data Engineer involved in:
• Collaborated with business and technical leads to understand the key business and architectural requirements, and defined the appropriate ETL/ELT and data solution and architecture & ensured that it meet QA/business.
• Create ingest framework to extract data from heterogeneous databases and flat-files across multiple locations into Hadoop landing zone.
• Involved in creating Kafka jobs to process streaming data from legacy applications; Developed and implementing test validations of kafka jobs
• Involved in creating PySpark jobs to perform data transformations extensively used Dataframes and RDDs
• Automate the manual validations using Python and Apache Spark and schedule them using Airflow

Rosemead, CA, US

• Worked as a Sr. Data Engineer involved in:
• Collaborated with business and technical leads to understand the key business and architectural requirements, and defined the appropriate ETL/ELT and data solution and architecture & ensured that it meet QA/business.
• Create ingest framework to extract data from heterogeneous databases and flat-files across multiple locations into Hadoop landing zone
• Involved in creating PySpark jobs to perform data transformations, extensively used Dataframes and RDDs
• Automate the manual validations using Python and Apache Spark and schedule them using Airflow
• Involved in creating Kafka jobs to process legacy application streaming data

Oakland, California, US

• Worked as a Senior ETL Developer / Lead in client location involved in:
• Architect, Design for Centralized common data platform. and Develop all ETL/ELT components including data acquisition, cleansing, standardization, validation, staging, database persistence, and job execution processes..
• Developed an architecture document and designed data models and a data flow processes to support the reporting needs
• Conduct assessment to determine the best cloud solution for implementing a cost effective, scalable and repeatable data and analytics solution for AWS, Snowflake and Looker cloud providers.
• Outlined end-to-end strategy and roadmap for data platforms and as well as modernized data infrastructure and Built DaaS (Data as a Service) Define real-time and batch data ingestion architecture using Lambda approach.
• Actively engaged with various external teams to obtain agreements on various matters pertaining to infrastructure setup, design decisions, architectural approach and others.

San Jose, California, US

• Worked as a Senior ETL Developer in client location involved in:
• Sensitive Operational data had to protect data at rest, in use, and in motion.
• Design and developed framework - each data layers had unique security challenges and provided the viable technical solutions in various technology stacks & achieved 100% data protected in non prod /production.

Teaneck, New Jersey, US

Common Data Platform, Enterprise Data Lakes & Hadoop Implementation, Enterprise Functions and Services, Data as a Service (Daas)/Software as a Service (Saas), Agile Transformations, Big Data, Analytics, Firmwide Re-Usable Frameworks, Data Migration, Data Wrangling, Data Virtualization, Onshore & Offshore Modeling.Lead the Modern Data Architecture.

Pune, Maharashtra, IN

Project: Enterprise Data ware Housing Application is a web-enabled solution based on BI tool that provides push-button reporting capabilities. It aims to fulfill all core reporting needs for UK Based Telecom -Major Business, Global Services & Wholesale Markets, in a systematic and unified way, enabling visibility of business information, supporting.

IN

Project: NPSA planned to migrate from SQL Server 2000 to Oracle 10g. Database data objects were migrated from MS SQL Server2000 (MS) to Oracle 10g(OG), that MS data objects like tables, views stored procedure, functions, Triggers, Job Scheduling and user defined data types are migrated to OG standard. The Data Replication/Migration system was incorporated.

Master’S Degree, Computer Science

Bachelor’S Degree, Physics