Sobby Mathew
Principal Engineer Data Steward @Comcast
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WORK HISTORY
Principal Engineer Data Steward @Comcast
Designed and implemented scalable ETL pipelines using Databricks, PySpark, SQL Server, Teradata, Oracle, Redshift, MinIO, and AWS S3, integrating complex data from diverse systems.• Served as SME for the National Field Ops Data Warehouse, leading SQL Server, Spark, and SSIS migrations that reduced customer trouble calls by 20%.• Built an analytical solution leveraging AWS Glue, EventBridge, Athena, and Tableau, enabling data-driven insights and contributing to a 1M-home increase in customer penetration.• Migrated a 5TB legacy SQL Server warehouse to a Lakehouse solution (Databricks, PySpark, S3, MinIO)—reducing load times from 6 to 2 hours and cutting storage costs by 50%.• Provided technical leadership across data cleansing, conversion, and full SDLC development.• Collaborated with DevOps and peer teams to optimize performance and system reliability.• Led and mentored data and BI engineers using Agile (JIRA) and established coding best practices.• Owned end-to-end data platform delivery ensuring scalability, security, and high availability.• Acted as Data Steward, governing operational data across multiple enterprise systems.• Promoted cloud and big data technology adoption to align with enterprise data strategy.
EDUCATION
West Chester University of Pennsylvania
MS, Computer Science
Madras University
BE, Computer Science and Engineering
SKILLS
ABOUT SOBBY MATHEW
Data Engineering Lead | Data Architect | Technical Steward with 17+ years of experience designing and delivering scalable data platforms, ETL/ELT pipelines, and analytics solutions. Expert in cloud and big data technologies including Databricks, PySpark, SQL Server, Redshift, AWS (Glue, Athena, S3, EventBridge), MinIO, and Tableau.Proven track record in modernizing data warehouses, building Lakehouse architectures, and enabling data-driven business insights. Known for driving performance improvements, cost efficiency, and data quality, while leading and mentoring cross-functional teams.Key strengths:Data Engineering & ETL Architecture – building scalable pipelines from diverse sources using Pyspark, SSISCloud & Big Data Platforms – Databricks, AWS, Redshift, MinIO, S3Data Governance & Stewardship – ensuring trusted, high-quality enterprise dataAnalytics & BI – Tableau, SSRS, Power BI, data modeling, semantic layersLeadership & Mentorship – Agile delivery, team management, coding standardsPassionate about solving complex data challenges, optimizing enterprise data ecosystems, and empowering organizations to make actionable, data-driven decisions.
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