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Sri Charan Raju Karampudi
Mid-level Data Engineer specializing in cloud ETL and financial data platforms
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About
Data engineer with experience at Capital One and HSBC building and operating GCP-based data platforms. Led an end-to-end Oracle-to-BigQuery migration processing ~200–300GB/day using Dataflow/Beam, Airflow, Dataproc/PySpark, and Looker, achieving ~99.5% pipeline success and ~30% fewer data quality issues. Strong in production reliability, schema drift handling for external APIs, and BigQuery performance/serving patterns (materialized views, authorized views, versioned datasets).
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Key Strengths
- Owned end-to-end Oracle-to-BigQuery migration pipeline (ingestion to serving) at ~200–300GB/day
- Built data quality framework with Great Expectations + Airflow (schema, null, business-rule checks) reducing data quality issues ~30%
- Improved pipeline reliability to ~99.5% success rate via retries, SLA monitoring, and Cloud Monitoring alerting
- Performance optimization in BigQuery (partitioning, clustering, materialized views, pre-aggregations) to reduce query latency
- Handled schema drift in external API JSON with dynamic parsing + staging/validation to prevent downstream breakages (reported zero downtime)
- Designed operationally robust ingestion for external partner APIs (rate limiting, exponential backoff, monitoring, backfills)
- Delivered developer-friendly data services with versioned datasets/views, documentation, templates, and curated business-friendly schemas
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