Adrian M

About Adrian M

Senior / Lead Data Engineer with 9+ years of experience owning cloud-native, AI-ready data platforms in regulated, production-critical environments. Equally comfortable driving initiatives in startups or large enterprises, I build data systems that teams trust resilient batch and real-time pipelines powering analytics, real-time decisioning, ML workflows, and Generative AI, leveraging Kafka, Spark, Flink, Delta Lake, dbt, and lakehouse architectures across AWS, Azure, and GCP at scale with low latency and high reliability. I’ve led platform modernization and multi-cloud initiatives where compliance isn’t an afterthought but baked into the design. Embedding HIPAA, SOC2, and GDPR directly into platforms through governance, access controls, encryption, tokenization, and automated lineage enables teams to move fast without breaking trust or reliability.🧠 Beyond hands-on engineering, I lead through architecture ownership making the trade-offs that keep systems stable as companies grow. I partner closely with product, analytics, and ML teams to enable self-service BI, real-time dashboards, feature stores, and AI-ready data products that create measurable business impact. Today, I focus on real-time data platforms, lakehouse architectures, AI & ML enablement (RAG pipelines, vector search), and building data systems that scale cleanly from startup to enterprise. Open to senior, lead, and staff-level roles where platform ownership, technical leadership, and long-term impact matter.

Experience

1. Lead Data Engineer

   ProCogia

   Oct 2023 — Present

   Architected high-volume, HIPAA-compliant data platforms on Azure Databricks and Snowflake, integrating FHIR/​HL7 standards for secure clinical data exchange while processing millions of patient records daily, reducing SLA breaches by 45%.•Built real-time ETL/​ELT pipelines using PySpark, Delta Lake, Kafka, Flink, and dbt, powering AI/​ML workflows, operational dashboards, and analytics triggers across enterprise healthcare systems.•Led multi-cloud platform modernization, integrating AWS, Azure, and GCP services; automated CI/​CD pipelines with GitHub Actions and Terraform, cutting deployment cycles by 60% and optimizing cloud costs.•Championed data governance, compliance, and audit readiness using Unity Catalog, IAM, encryption, tokenization, and automated lineage, ensuring HIPAA, SOC2, and GDPR adherence across production pipelines.•Delivered AI-powered reporting tools and real-time dashboards with Power BI and Looker, reducing manual reporting by 60% and enabling enterprise-wide self-service analytics.•Mentored a team of 6 engineers and established architecture standards, dbt testing frameworks, and data contracts, improving code quality, team efficiency, and cross-domain collaboration.•Drove adoption of modern data mesh principles (lakehouse + domain ownership + DevSecOps + MLOps), enabling enterprise-wide AI strategies, high-performance analytics, and strategic alignment with business goals.

Education

• Eastern Washington University

  Master of Business Administration - MBA, Organizational Leadership