Data Engineer with 2.5 years of experience building and maintaining data pipelines across clouds and large-scale migration projects.
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π My Website: mek-siriwat.vercel.app
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π« Email: swisetpakdeewong@gmail.com
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π Linkedin: https://www.linkedin.com/in/siriwat-wisetpakdeewong-78b641256/
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βοΈ Resume (Jul-2026): Click Here
- βΉοΈ Description: Big Data Migration from GCP to Azure.
- π Achievements: Successfully migrated over 19 million rows of data from Google Cloud Storage to Azure Data Lake, ensuring data integrity with zero data loss.
- π― Technologies used:
- Processing Tools: PySpark
- GCP Services: Google Cloud Storage (GCS), BigQuery
- Azure Services: Azure Data Factory, Azure Data Lake Storage Gen 2, Databricks, Key Vault
- Others: Docker
- βΉοΈ Description: Building a Data Lakehouse using the Medallion architecture.
- π Achievements: Developed a scalable Data Lakehouse architecture using the Medallion framework, facilitating efficient data storage, processing, and analysis with seamless integration across Azure services.
- π― Technologies used:
- Processing Tools: DBT (Data Build Tool)
- Azure Services: Azure SQL Database, Azure Data Lake Storage Gen 2, Databricks, Azure Key Vault
- βΉοΈ Description: Real-time data ingestion to Cassandra using Airflow, Kafka, and Spark.
- π Achievements: Engineered a robust real-time data streaming pipeline, enabling low-latency data ingestion into Cassandra and ensuring consistent data flow and processing across multiple platforms.
- π― Technologies used:
- Processing Tools: PySpark
- Orchestration Tools: Airflow, Kafka, Zookeeper
- Monitoring: Confluent
- Storage: Cassandra
- Others: Docker
