Open to opportunities

Henry Izaar

@henryizaar

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Senior Data Engineer with expertise in cloud data platforms.

United States

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What I'm looking for

I seek a role that fosters innovation and collaboration, with opportunities for growth.

I am a Senior Data Engineer with over 12 years of experience in designing and optimizing both cloud and on-premise data platforms. My expertise lies in building scalable ETL pipelines and real-time processing solutions utilizing technologies such as SQL, Python, Apache Spark, Kafka, and Flink. I have a proven track record of architecting data lakehouse solutions on AWS, Azure, and GCP, with a strong focus on delivering reliable data systems that empower analytics, machine learning, and actionable business insights.

Throughout my career, I have successfully led projects that involved migrating legacy data platforms to modern architectures, enhancing scalability and reliability. My role at TechNova Solutions as a Lead Data Integration Engineer allowed me to design large-scale ETL pipelines and establish data quality frameworks, ensuring accuracy and consistency across data pipelines. I am passionate about mentoring junior engineers and collaborating with cross-functional teams to deliver production-ready data models that drive business intelligence and reporting.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Integration Engineer

Current

TechNova Solutions

Jan 2020 - Present (5 years 7 months)

Designed and implemented large-scale ETL pipelines using PySpark and Apache Airflow to process multi-terabyte datasets across cloud and on-premise environments. Led the migration of legacy data platforms to a modern data lakehouse architecture on AWS using Databricks and Delta Lake, improving scalability and reliability.

Pyspark Apache Airflow AWS Databricks Delta Lake Apache Kafka SQL Snowflake Redshift Terraform

Senior Data Engineer

Databricks

Jan 2018 - Dec 2019 (1 year 11 months)

Developed scalable ETL pipelines using PySpark and Databricks notebooks to process large volumes of structured and semi-structured data. Designed and implemented data lake solutions on AWS integrating Delta Lake for efficient storage and versioned data management.

Pyspark Databricks AWS Delta Lake Apache Kafka Spark Structured Streaming Snowflake Redshift Terraform

Data Engineer

Mavericks Labs

Sep 2013 - Dec 2017 (4 years 3 months)

Built and maintained ETL pipelines using Python and Apache Airflow to ingest and transform data from multiple APIs and databases. Designed relational and NoSQL data models in PostgreSQL and MongoDB to support analytics and application workflows.