DataOmni Solutions
@dataomni.bsky.social
ETL | Data integration services
🧾 Granular Task Logging
Track transformations, analyze execution metrics & debug pipeline issues with detailed logs.
Precision & transparency built in.
#ETL #TaskLogging #DataPipelines #OpenSource #DebuggingTools #DataOmni #OpenETL #Logging #Observability #BuildInPublic
Track transformations, analyze execution metrics & debug pipeline issues with detailed logs.
Precision & transparency built in.
#ETL #TaskLogging #DataPipelines #OpenSource #DebuggingTools #DataOmni #OpenETL #Logging #Observability #BuildInPublic
July 18, 2025 at 4:01 AM
🧾 Granular Task Logging
Track transformations, analyze execution metrics & debug pipeline issues with detailed logs.
Precision & transparency built in.
#ETL #TaskLogging #DataPipelines #OpenSource #DebuggingTools #DataOmni #OpenETL #Logging #Observability #BuildInPublic
Track transformations, analyze execution metrics & debug pipeline issues with detailed logs.
Precision & transparency built in.
#ETL #TaskLogging #DataPipelines #OpenSource #DebuggingTools #DataOmni #OpenETL #Logging #Observability #BuildInPublic
Migrating HubSpot CRM → Snowflake at Lightning Speed with OpenETL
How we do it with OpenETL:
1. Connect to HubSpot API and extract data in scalable Spark-powered
2. Auto-detect schemas and data types
3. Load efficiently into Snowflake using COPY stage for fast, clean ingestion
How we do it with OpenETL:
1. Connect to HubSpot API and extract data in scalable Spark-powered
2. Auto-detect schemas and data types
3. Load efficiently into Snowflake using COPY stage for fast, clean ingestion
July 14, 2025 at 11:11 AM
Migrating HubSpot CRM → Snowflake at Lightning Speed with OpenETL
How we do it with OpenETL:
1. Connect to HubSpot API and extract data in scalable Spark-powered
2. Auto-detect schemas and data types
3. Load efficiently into Snowflake using COPY stage for fast, clean ingestion
How we do it with OpenETL:
1. Connect to HubSpot API and extract data in scalable Spark-powered
2. Auto-detect schemas and data types
3. Load efficiently into Snowflake using COPY stage for fast, clean ingestion