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UMESH KAMISETTY

Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms

Seattle, WAData Engineer II5 years experienceMid-LevelFinancial ServicesBankingInsurance
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About

Data engineer focused on building production-grade pipelines on AWS (Kafka/Kinesis/Glue/S3) through to curated serving layers in Snowflake and Delta Lake. Emphasizes automated data quality validation (PySpark + CI/CD), modular dbt transformations for analytics (customer spending, risk metrics), and operational reliability with CloudWatch and DLQs; data consumed by BI tools and ML pipelines for fraud detection and risk analytics.

Experience

Data Engineer IIFirst United Bank
Data Engineer IUnited Health Group
Data Engineer INationwide Insurance

Education

Cleveland State Universitymaster, Information Systems
JNTU Ananthapurbachelor, Computer Science

Key Strengths

  • End-to-end data pipeline ownership (ingestion to serving) on AWS + Snowflake/Delta Lake
  • Strong data quality/validation implementation in PySpark (schema, nulls, duplicates, referential integrity, business rules)
  • Production analytics transformations using modular dbt models in Snowflake
  • Operational reliability practices (CloudWatch monitoring, DLQs for retries/failures, CI/CD-integrated checks)
  • Performance optimization for data access (query optimization, caching, partitioning)
  • Developer enablement via clear API contracts, documentation, and reusable data models

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Languages

English

Skills

PythonPySparkSQLShell ScriptingAWSAmazon S3AWS GlueAmazon EMRAmazon RedshiftAWS Step FunctionsAWS LambdaAmazon RDSAmazon CloudWatchAmazon EC2Amazon VPC