Open to opportunities

Haze Intezar

@hazeintezar

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Lead Data Engineer specializing in cloud-native, scalable data platforms.

United States

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What I'm looking for

I seek senior roles designing scalable, cloud-native data platforms with strong governance, ML-readiness, team mentorship, and opportunities to optimize cost and performance.

I am a Lead Data Engineer with 12+ years designing, architecting, and scaling cloud-native data platforms across AWS, GCP, and Azure, delivering ETL/ELT workflows, real-time streaming pipelines, and lakehouse architectures to support analytics and ML workloads.

I have led enterprise healthcare and analytics initiatives, implemented CDC, governance, and observability frameworks, integrated BI and ML feature stores, and mentored teams to build cost-efficient, production-grade data solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Solution Architect

Current

MediTech Solutions

Sep 2021 - Present (4 years 9 months)

Led architecture and delivery of an enterprise healthcare data lake on AWS, implementing streaming and batch pipelines that improved data quality and enabled ML-ready feature stores while ensuring HIPAA compliance.

AWS S3 Glue EMR Apache Kafka Apache Flink Delta Lake Databricks Debezium Data Governance

Big Data Engineer

InsightAnalytics

Mar 2018 - Aug 2021 (3 years 5 months)

Built high-performance lakehouse solutions with Delta Lake and Databricks and engineered real-time streaming pipelines, accelerating analytics and AI model training while migrating datasets to cloud platforms.

Delta Lake Databricks Apache Spark Apache Kafka Flink DBT Airflow Terraform BigQuery

Senior Data Engineer

Redmond

Sep 2015 - Feb 2018 (2 years 5 months)

Designed and operated large-scale batch and streaming data pipelines across AWS, GCP, and Azure, integrating ML models into production and improving cost and performance of analytics platforms.

Apache Spark Databricks Delta Lake Kafka Pub Sub Airflow DBT AWS RedShift

Data Engineer

Capgemini

Jul 2013 - Aug 2015 (2 years 1 month)

Developed and optimized ETL pipelines using Python and SQL, automated workflows with Airflow, and delivered dashboards in Tableau and Power BI to support reporting and analytics needs.