Chetana Mathad
@chetanamathad
I build scalable AWS data pipelines for analytics, reporting, and fraud insights.
What I'm looking for
I've built AWS-based data platforms for American Express, AXA XL, and AT&T, processing banking, insurance, and telecommunications data for reporting, fraud analytics, and operational decision-making.
I develop scalable ETL/ELT pipelines with Python, PySpark, SQL, AWS Glue, Amazon S3, Redshift, Athena, Snowflake, and Apache Airflow. My work includes data ingestion, cleansing, validation, enrichment, reconciliation, partitioning, query optimization, and analytics-ready data modeling.
I focus on secure, reliable platforms using IAM, KMS, CloudWatch, Grafana, CI/CD, and production support practices to improve data quality, accelerate reporting, and enable trusted business insights.
Experience
Work history, roles, and key accomplishments
Currently working as a Data Engineer, designing and developing scalable ETL pipelines and AWS cloud-based data platforms.
Data Engineer
AXA XL
Nov 2022 - Mar 2025 (2 years 4 months)
Designed and developed cloud-native AWS data engineering platforms for insurance data, building scalable batch and event-driven ETL pipelines.
Developed a scalable AWS-based Data Lake Platform for broadcast and telecommunications data, building automated ingestion pipelines and PySpark ETL jobs.
Education
Degrees, certifications, and relevant coursework
Visvesvaraya Technological University
Bachelor of Engineering, Engineering
Bachelor of Engineering degree from Visvesvaraya Technological University, Belagavi, Karnataka.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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