Haven Intezar
@havenintezar1
Senior Data Engineer specializing in scalable streaming ETL and cloud data platforms.
What I'm looking for
I’m a Senior Data Engineer with 9+ years designing scalable data pipelines, real-time streaming systems, and modern data platforms. I build production-grade batch and near real-time ETL/ELT using Python, SQL, Apache Spark, and Kafka, with deep expertise across AWS, GCP, and Azure.
Most recently, I developed scalable Spark/Kafka-based data pipelines at Square and led migration from legacy on-premise systems to AWS cloud, integrating Microsoft Fabric to improve unified access, governance, and BI enablement. I’m especially focused on data quality automation, monitoring, and distributed query optimization, and I mentor teams while establishing best practices for lakehouse-style architectures.
Experience
Work history, roles, and key accomplishments
Designed and developed scalable batch and real-time data pipelines using Apache Spark, Apache Kafka, and AWS services for distributed SQL-based analytics. Led migration of legacy on-premise systems to AWS and integrated Microsoft Fabric, while implementing automated data quality validation and monitoring.
Data Engineer
AstroPrint
Jun 2020 - Feb 2024 (3 years 8 months)
Built and maintained scalable batch and near real-time ETL pipelines using Python, SQL, and Apache Airflow. Improved data reliability through validation and monitoring, and supported analytics and machine learning teams with clean, structured datasets.
Junior Data Engineer
Charles IT
Nov 2016 - May 2020 (3 years 6 months)
Developed and optimized relational databases in PostgreSQL and MySQL, improving query performance and supporting business reporting. Built early ETL pipelines in SQL and Python and supported BI reporting by enabling datasets for Power BI and Tableau dashboards.
Education
Degrees, certifications, and relevant coursework
Kean University
Bachelor of Science, Computer Science
Earned a Bachelor of Science in Computer Science at Kean University.
Tech stack
Software and tools used professionally
Amazon Redshift
Matillion
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Apache Hive
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Pandas
PySpark
Debezium
dbt
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Hadoop
Gmail
Redis
Terraform
Kafka
Apache NiFi
Amazon DynamoDB
AWS Lambda
Serverless
Amazon Aurora
Kafka Streams
Airflow
Google BigQuery
SQL
Apache Iceberg
DataHub
Delta Lake
Great Expectations
Trino
Starburst
Bash
Microsoft Fabric
Factory
Availability
Location
Authorized to work in
Job categories
Skills
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