Edward Plata

Data Engineer

Vytalize Health · New York, NY

Own: claims ingestion · shared-savings payouts · lakehouse governance

• Own the BCDA/FHIR claims ingestion path (PySpark, Delta Lake, dbt) under a zero data-loss (RPO 0) contract, with idempotent, replay-safe loads that retry without duplicating records.
• Own the shared-savings payout pipeline end to end: ingestion, reconciliation, and the provider payment figures it produces.
• Architected the medallion (Bronze/Silver/Gold) lakehouse on Databricks and made Unity Catalog its governance layer for lineage and access control, so analytics and ML teams use regulated data self-serve.
• Set the dbt governance standard (tests, docs, lineage) and enforced it with CI checks, so engineers outside the platform team change downstream models safely.
• Built pipeline observability on OpenTelemetry and Databricks job metrics, with alerting that cut time-to-detect on pipeline failures from hours to minutes.
• Run ingestion across Azure and AWS with automated failover between the two clouds.

Data Engineering Consultant

Accenture

Platform for 200+ analysts · dbt standards across 50+ engineers

• Built a self-service analytics platform on Databricks for 200+ analysts, with standard notebook environments and data contracts.
• Drove dbt modelling, testing, CI and lineage standards to adoption across 50+ engineers, cutting review cycles 20%; they became the default way analytics-engineering teams shipped data.
• Shipped knowledge search on AWS Kendra with retrieval-augmented generation (RAG), cutting analyst query-resolution time 67% across the consulting practice.
• Built Kafka and Spark Structured Streaming pipelines that fed live operational dashboards.
• Cut query latency on high-volume warehouse workloads by redesigning partitioning and file layout (Z-ordering) and rewriting SQL.
• Designed self-serve experimentation infrastructure (statistics libraries, metric stores), so product teams ran A/B tests on their own.

Data Engineer

Verisk / Argus

ETL automation · data-quality reporting

• Replaced manual nightly ETL with Pentaho and GitLab CI/CD workflows, removing ~40 hours/month of ops toil.
• Shipped a data-quality dashboard (Tableau + SQL) that showed validation failures to engineers as they happened, cutting QA cycle time 50%.

BS, Statistics

Baruch College, CUNY

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