S

Shae I

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Texas, United States

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work
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Résumé

Jobs verified_user 0% verified
  • Effectual
    Senior Data Architect
    Effectual
    Jan 2021 - Current (5 years 10 months)
    Engineered Azure, Snowflake, and Databricks platforms supporting 200+ users and 120+ pipelines, improving analytics efficiency by 70% and reducing cloud costs by 30%. Modernized the ELT ecosystem using Spark, DLT, Unity Catalog, Airflow 2.x, and the dbt Semantic Layer, increasing SLA reliability by 40%. Built Microsoft Fabric architecture ingesting 5M+ events/day via OneLake, Delta tables, and semantic models. Designed feature stores & MLOps pipelines enabling 10+ ML models and reducing deployment time by 45%. Implemented governance using Immuta, Privacera, Purview, DataHub, and Great Expectations, improving audit readiness by 30%. Architected FinTech fraud pipelines integrating Actimize, Fiserv, and Duck Creek, reducing detection latency b
  • Smartbridge
    Staff Data Engineer
    Smartbridge
    Jul 2018 - Dec 2020 (2 years 6 months)
    Architected a Synapse/Hadoop hybrid-cloud platform processing 15M+ daily events. Reduced ETL latency by 60% across 8 domains using Flink, Spark, & dbt optimizations. Integrated Monte Carlo and Atlas, reducing downtime by 70% and preventing 25+ quarterly incidents. Built RBAC/RLS access controls reducing data exposure risk by 90%. Implemented an Iceberg lakehouse with Nessie Catalog enabling secure multi-tenant data sharing across 15+ teams. Delivered RAG-ready datasets using LangChain, embeddings, and Pinecone, improving analytics productivity by 40%. Built real-time fraud dashboards using Kafka Streams and ClickHouse with sub-second SLAs. Mentored engineers in Databricks, Spark, Terraform, and AWS, reducing onboarding time by 25%.
  • CorroHealth
    Senior Data Engineer
    CorroHealth
    Jan 2016 - Jun 2018 (2 years 6 months)
    Developed Spark/dbt pipelines processing 12 TB/month, reducing batch runtimes by 30%. Built Snowflake/AWS/BigQuery platforms supporting 150+ governed analytics users. Reduced dashboard latency from 8 minutes to under 1 minute via Kafka/Kinesis optimization. Automated dbt testing, reducing incident detection time by 50%. Built ML feature pipelines improving clinical risk prediction accuracy by 18%. Integrated HL7, FHIR, and SMART APIs across 25+ vendors enabling real-time interoperability. Automated PHI masking using Immuta and Terraform, reducing compliance overhead by 70%. Strengthened SOC 2/HIPAA governance across 40+ clinical datasets.
  • Accenture
    ETL & Data Warehouse Engineer
    Accenture
    Jul 2013 - Dec 2015 (2 years 6 months)
    Built and maintained 80+ ETL workflows (Informatica/SSIS) across finance and supply chain domains. Designed 20+ star schemas improving reporting latency by 30%. Tuned SQL/PLSQL for 500M+ row datasets reducing ETL runtime by 40%. Supported 300+ nightly ETL jobs with 95% SLA compliance. Migrated 3 legacy systems to Azure ODS with full audit traceability. Built 30+ BI dashboards reducing ad-hoc reporting time by 50%.
Education verified_user 0% verified
  • G
    Google Cloud Professional Data Engineer
  • A
    AWS Solutions Architect Associate & Professional
  • B
    Bachelor of Science in Computer Science
Projects (professional or personal) verified_user 0% verified
  • I
    Iceberg Multi-Cloud Mesh
    Delivered Trino + Nessie-based sharing framework supporting 15+ teams across AWS & Azure.
  • H
    Healthcare Lakehouse
    Integrated 25+ HL7/FHIR vendors with Iceberg tables improving model accuracy by 22%.
  • U
    Unified Lakehouse Governance
    Implemented Unity Catalog, Purview, and DataHub lineage across 300+ assets.
  • F
    Flink Fraud Engine
    Designed Flink SQL + Stateful Functions system processing 2M+ events/day with sub-second SLA.
  • R
    RAG Analytics Platform
    Built LangChain + Cortex AI + Pinecone architecture reducing insight retrieval time by 50%.