Sai N.
Hadoop| spark| Hive| ADF | Data bricks| Athenna | Glue | Lambda | Redshift | SnowFlake
- Role
- Azure Data Engineer at Mastercard
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Sai N.
Snowflake Developer with 9+ years building fast, reliable ETL/ELT on Snowflake. I use…
Experience
Azure Data Engineer
Jan 2025 — Present · NJ, US
Engineered scalable data pipelines using AWS Glue, Lambda, and Step Functions to ingest and process 18M+ financial transactions daily, improving ETL throughput by 45% and reducing SLA breaches.• Designed and optimized a secure financial data lake on S3, integrating with Amazon Redshift and Athena, enabling ad hoc querying on over 50 TB of historical payment and fraud datasets.• Implemented real-time fraud detection pipelines using AWS Kinesis, Kafka, and EMR Spark Streaming, reducing fraud response time by 55% and supporting sub-second latency analytics.• Automated infrastructure provisioning and deployment using Terraform and AWS Code Pipeline, decreasing deployment time by 60% and ensuring PCI-DSS compliance through parameterized role-based access policies.• Deployed centralized monitoring and alerting with AWS CloudWatch, CloudTrail, and Elasticsearch, achieving 99.99% uptime and enabling proactive detection of pipeline anomalies in Mastercard\'s financial operations.• Led the migration of legacy data processing jobs to serverless architectures using AWS Lambda and DynamoDB, improving cost-efficiency by 30% and reducing cold-start impact via provisioned concurrency.• Mentored a team of 4+ engineers and introduced PyTest-based validation suites for data quality assurance, increasing pipeline test coverage from 45% to 90% and reducing production bugs by 40%.
Education
Jawaharlal Nehru Technological University
Bachelor's degree, Computer Science
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