Automated Real-Time Data Pipelines (Snowflake,Snowpark & Python)Hafiz Suleman
Batch-processing daily files is no longer enough for modern real-time decision-making. I design and build robust, automated data pipelines using Snowpark Python, Snowflake Streams & Tasks, and event-driven architecture. Whether you are streaming telemetry data, syncing transactional databases, or merging multi-source JSON feeds, I ensure your pipelines run continuously and handle failures gracefully.
What I Deliver:
Snowpark Python Pipelines: Custom data transformation logic written in clean, modular Python utilizing Snowpark DataFrames.
Change Data Capture (CDC): Implementation of Snowflake Streams and Tasks to automate incremental data processing without manual scheduling.
Error Handling & Logging: Built-in exception tracking, dead-letter tables, and automated email/Slack notification integrations for failed jobs.
End-to-End Deployment: Fully tested, production-ready pipeline integration mapped directly into your environment architecture.
FAQs
Contact for pricing
Duration1 week
Tags
Data Pipelines
ETL
Python
Data Engineer
Stream Processing
Change Data Capture (CDC)
ELT
Event-Driven Architecture
Snowpark
Service provided by
Hafiz Suleman proGujranwala, Pakistan
Automated Real-Time Data Pipelines (Snowflake,Snowpark & Python)Hafiz Suleman
Contact for pricing
Duration1 week
Tags
Data Pipelines
ETL
Python
Data Engineer
Stream Processing
Change Data Capture (CDC)
ELT
Event-Driven Architecture
Snowpark
Batch-processing daily files is no longer enough for modern real-time decision-making. I design and build robust, automated data pipelines using Snowpark Python, Snowflake Streams & Tasks, and event-driven architecture. Whether you are streaming telemetry data, syncing transactional databases, or merging multi-source JSON feeds, I ensure your pipelines run continuously and handle failures gracefully.
What I Deliver:
Snowpark Python Pipelines: Custom data transformation logic written in clean, modular Python utilizing Snowpark DataFrames.
Change Data Capture (CDC): Implementation of Snowflake Streams and Tasks to automate incremental data processing without manual scheduling.
Error Handling & Logging: Built-in exception tracking, dead-letter tables, and automated email/Slack notification integrations for failed jobs.
End-to-End Deployment: Fully tested, production-ready pipeline integration mapped directly into your environment architecture.
FAQs
Contact for pricing