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Sri Niyati Kompella
Senior Data Engineer specializing in cloud data platforms and ML pipelines
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About
Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.
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Key Strengths
- Owned end-to-end AWS data pipelines (ingestion, validation, transformation, serving) for analytics and ML
- Built proactive monitoring and reliability practices (Airflow/CloudWatch/Prometheus/Grafana) with fail-fast data quality gates
- Strong data quality engineering (schema validation, null checks, reconciliation) to prevent downstream issues
- Operational troubleshooting: isolates failures by stage and reruns only impacted segments to reduce blast radius
- Performance optimization delivering ~30% improvement plus better SLA compliance and lower latency
- Stood up early-stage pipeline with IaC and CI/CD (Terraform, Jenkins, GitHub) and production observability
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