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Samatha Amsala
Mid-level Data Engineer specializing in cloud data warehousing and analytics
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About
Data engineer at American Express who owned end-to-end pipelines for transaction and customer data used in finance reporting and risk analytics, processing ~5–8M records/day. Built Airflow-orchestrated ingestion (including external APIs/web sources) with strong data quality controls, monitoring/alerts, and resilient backfill/retry patterns, and also shipped a versioned REST API serving aggregated metrics to analytics teams.
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Key Strengths
- Owned end-to-end production data pipelines (ingestion to BI serving) for transaction/customer data
- Scaled pipelines processing ~5–8M records daily with automated scheduling and reliability controls
- Strong data quality engineering (null/duplicate checks, reconciliation, schema validation, source-to-target comparisons)
- Incident response and resilience (alerts, RCA via logs/SQL, reruns, backfills, preventive fixes)
- External data collection at scale with robust retry/backoff, checkpointing, throttling, and idempotent backfills
- Built and maintained a REST API serving aggregated metrics with caching, automated tests, and semantic versioning/backward compatibility
- Delivered in ambiguous early-stage environments using MVP scoping, staged deployments, and iterative enhancements
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