Results-driven Lead Data Engineer with extensive experience architecting and delivering enterprise-grade data solutions across healthcare, finance, and large-scale enterprise environments. Recognized for building high-throughput, fault-tolerant data pipelines processing 10TB+ daily using Apache Spark, Databricks, and Apache Kafka, with deep hands-on expertise across AWS, Azure, and GCP cloud ecosystems. Spearheads end-to-end data platform development across raw ingestion, real-time streaming, semantic modeling, BI delivery, and ML feature engineering—ensuring data quality, governance, and sub-second latency at scale. Consistently drives measurable business value, mentors high-performing teams, and champions DataOps, CI/CD, and Agile best practices to deliver production-grade platforms powering critical business decisions.

mariashade16

Results-driven Lead Data Engineer with extensive experience architecting and delivering enterprise-grade data solutions across healthcare, finance, and large-scale enterprise environments. Recognized for building high-throughput, fault-tolerant data pipelines processing 10TB+ daily using Apache Spark, Databricks, and Apache Kafka, with deep hands-on expertise across AWS, Azure, and GCP cloud ecosystems. Spearheads end-to-end data platform development across raw ingestion, real-time streaming, semantic modeling, BI delivery, and ML feature engineering—ensuring data quality, governance, and sub-second latency at scale. Consistently drives measurable business value, mentors high-performing teams, and champions DataOps, CI/CD, and Agile best practices to deliver production-grade platforms powering critical business decisions.

Available to hire

Results-driven Lead Data Engineer with extensive experience architecting and delivering enterprise-grade data solutions across healthcare, finance, and large-scale enterprise environments. Recognized for building high-throughput, fault-tolerant data pipelines processing 10TB+ daily using Apache Spark, Databricks, and Apache Kafka, with deep hands-on expertise across AWS, Azure, and GCP cloud ecosystems.

Spearheads end-to-end data platform development across raw ingestion, real-time streaming, semantic modeling, BI delivery, and ML feature engineering—ensuring data quality, governance, and sub-second latency at scale. Consistently drives measurable business value, mentors high-performing teams, and champions DataOps, CI/CD, and Agile best practices to deliver production-grade platforms powering critical business decisions.

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Experience Level

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Work Experience

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Education

at Berkeley College
January 11, 2030 - August 26, 2026

Qualifications

Industry Experience

Healthcare, Financial Services, Other