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Kavita Tamire
Mid-level Data Engineer specializing in AWS cloud data platforms
California, USASoftware Engineer III3 years experienceMid-LevelTelecommunicationsHealthcare ITConsulting
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About
Data engineer with Charter Communications experience modernizing large-scale AWS data lake pipelines: ingesting S3 data, validating against legacy systems, transforming with PySpark/Spark SQL, and serving via Iceberg/Delta tables. Worked at 50M–300M record scale, delivered >99.5% data match, and built monitoring/alerting (CloudWatch/SNS) plus retry orchestration (Step Functions) and data quality gates (Great Expectations).
Experience
Software Engineer IIICharter Communications
Data Engineer InternOUBT
AWS Data EngineerGE Healthcare
Technology AnalystPolo Ralph Lauren
Education
University of South Floridamaster, Data Intelligence (2025)
Andhra Universitybachelor, Electronics & Communication Engineering
Key Strengths
- Built and deployed end-to-end AWS data lake pipelines (ingestion to serving) using Spark/PySpark and Iceberg
- Handled large-scale datasets (50M-record sources; ~300M records used in complex transformations)
- Achieved >99.5% data match vs legacy systems through stepwise validation and QA re-validation
- Designed for schema evolution using Iceberg/Delta tables (schema changes, ACID, time travel)
- Implemented pipeline observability and alerting with CloudWatch + SNS
- Implemented orchestration retries/failure handling using AWS Step Functions
- Established data quality gates with Great Expectations and confidence-based routing (steward review vs reject)
- Applied SQL performance optimization techniques (EXPLAIN ANALYZE, avoiding SELECT *)
- Implemented data access controls via row-level security
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