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Sushma Mangalampati
Mid-level Data Engineer specializing in lakehouse ETL and analytics engineering
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Data engineer with strong end-to-end ownership of production lakehouse pipelines (Snowflake + Databricks + Airflow + dbt + Great Expectations), handling 8M+ records/month and 500K+ daily CDC updates. Delivered measurable reliability and efficiency gains (41% cost reduction, freshness improved from 4h to 30m, 35% fewer downstream incidents) and has experience building a lakehouse platform from scratch across 12 source systems.
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Key Strengths
- Owned end-to-end ITSM data pipeline into Snowflake/Databricks processing 8M+ records/month and 500K+ daily updates
- Improved data freshness from 4 hours to 30 minutes by switching from full refresh to incremental CDC
- Reduced compute costs by 41% through pipeline redesign and incremental processing
- Reduced downstream incidents by 35% via Great Expectations validation and schema-drift controls
- Built dbt models for SLA/MTTR/incident metrics powering 30+ dashboards
- Stood up a cloud lakehouse platform from scratch by mapping 12 source systems and prioritizing high-impact ingestion
- Resolved post-launch data correctness issue by tracing duplicate BI metrics to missing bronze-layer dedup logic and patching without disrupting dashboards
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