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Frankie Ghaf

@frankieghaf

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Senior Data Engineer at MintsClub who migrated a legacy warehouse to Snowflake on AWS, cutting query time by 60%.

United States

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At MintsClub, I modernized cloud data platforms and migrated a legacy on-premise warehouse to Snowflake on AWS, cutting query processing time by 60% and infrastructure costs by roughly 35%.

I designed a Databricks and Delta Lake lakehouse for batch and streaming analytics, and built more than 100 Apache Airflow DAGs to automate data workflows. I also developed Kafka and Spark Structured Streaming pipelines that process more than five million events per day.

Earlier, at Clinix360, I built healthcare data pipelines and integrated operational systems, APIs, and analytical datasets into a centralized analytics environment. At InvoZone, I developed Python, SQL, and Scala workflows, and built Hadoop, Hive, and Spark processing jobs.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

MintsClub

Feb 2022 - Present (4 years 9 months)

Architected and modernized cloud-based data platforms, leading migration to Snowflake on AWS and designing Databricks/Delta Lake lakehouse architecture. Built and orchestrated 100+ Airflow DAGs and real-time streaming pipelines with Kafka and Spark Structured Streaming.

AWS Snowflake Databricks Delta Lake Airflow Kafka Spark Structured Streaming DBT Terraform Kubernetes Great Expectations GitHub Actions CI CD Agile Scrum Jira Looker

Data Engineer

Clinix360

Mar 2020 - Jan 2022 (1 year 10 months)

Built data engineering solutions for healthcare platforms, integrating operational systems and APIs into a centralized, HIPAA-aware analytics environment. Developed 30+ ETL/ELT pipelines using Python, SQL, and Airflow, and processed 2TB+ of daily data with Spark on AWS EMR.

Python SQL Airflow Spark PySpark Amazon EMR AWS Kinesis AWS Glue AWS Lambda AWS RedShift AWSAthena AWS RDS CDC Oracle Snowflake Data Validation Data Profiling Jira

Software Engineer

InvoZone

Oct 2016 - Jan 2020 (3 years 3 months)

Built software systems, database solutions, and data processing workflows using batch-oriented, on-premise and early-cloud data stack. Developed ETL workflows, optimized Hadoop/Hive jobs, and implemented API integrations and automation.