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Agna Antony
Mid-level Data Engineer specializing in cloud-native healthcare and enterprise data platforms
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About
Data Engineer (TCS) who owned an end-to-end CRM analytics pipeline for Bayer’s eSalesWeb integration, ingesting from Salesforce APIs/databases/S3 and serving analytics-ready datasets via PostgreSQL/S3 for Tableau. Drove measurable outcomes: ~60% reduction in manual data-quality effort, ~30% lower latency through SQL optimization, and ~35% improved stability via monitoring, retries, and idempotent processing.
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Key Strengths
- Owned end-to-end CRM analytics pipeline (ingestion → validation → transformation → serving) for Bayer eSalesWeb integration
- Implemented incremental and idempotent loads to improve reliability and SLA adherence
- Built automated data quality checks (schema validation, dedupe, source-to-target reconciliation) reducing manual effort ~60%
- Optimized SQL transformations and staging approach to cut pipeline latency ~30%
- Improved production stability with monitoring/alerting, retries, and resilient recovery (~35% stability improvement)
- Handled inconsistent semi-structured Salesforce JSON via Python normalization to enforce consistent schemas
- Delivered curated, documented datasets with backward-compatible schemas for downstream consumers
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