Parthasarathi Mahadasyam
@parthasarathimahadas
I build scalable Azure data pipelines, Databricks solutions, and enterprise data architectures.
United StatesWhat I'm looking for
At Chubb, I lead Azure Databricks data engineering work, including PySpark-based detokenization of a billion records across 42 tables and 292 fields in Azure Synapse. I build ingestion pipelines, integrate APIs and enterprise data products, and automate historical loads with Linux shell scripts.
I've delivered data integration, ETL/ELT, data modeling, SQL, and cloud data solutions for GSK, Gap Inc., Deloitte, Walmart, Aptean, Mediware, and Louisiana Tech University. Across 15 years in Software/IT, I've led teams, supported Agile delivery, optimized databases, and built scalable data platforms using Azure Data Factory, Databricks, ADLS, SQL Server, SSIS, and PySpark.
Experience
Work history, roles, and key accomplishments
Designed and developed Databricks (PySpark) code to perform detokenization of a billion records across 42 tables and 292 fields in Azure Synapse. Led a technical team, transformed business requirements into technical specifications, and integrated API data using Azure Databricks.
Education
Degrees, certifications, and relevant coursework
Louisiana Tech University
Master of Science, Computer Science
Grade: 3.42/4.0
M.S. in Computer Science from Louisiana Tech University, USA, with a GPA of 3.42/4.0.
Jawaharlal Nehru Technological University
Bachelor of Technology, Electronics & Communication Engineering
Grade: 72.42%
B.Tech in Electronics & Communication Engineering from JNTU, Kakinada, India, with 72.42%.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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