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I will build a real time data pipeline with kafka , python for live analytics
Data Engineer ,ETL Pipelines, Spark and Cloud Data Warehouse Expert
Data Engineer | 4+ years building ETL pipelines, data warehouses & real-time streaming systems. Expert in Python, Apache Airflow, Apache Spark, dbt, Snowflake, BigQuery, Amazon Redshift, AWS Glue, Apa...
About this Gig
Is your business still making decisions on yesterday's data? I build production-ready real-time data pipelines using Apache Kafka, Spark Streaming, and Python so your systems react to events in seconds, not hours.
Whether you need to stream live transactions, sync databases with real time data, or build an event-driven architecture from scratch, I deliver clean, scalable, and well-documented solutions.
What I can build for you:
- Kafka producer/consumer pipelines in Python
- Spark Streaming & PySpark real-time transformations
- CDC pipelines Kafka Connect
- AWS Kinesis or GCP Pub/Sub streaming integrations
- Real-time sink to Snowflake, BigQuery, or Delta Lake
- Monitoring, alerting, and error handling setup
All code is production-grade, version-controlled, and fully documented. I also provide a walkthrough call so your team understands every component.
Need a data warehouse to store this streaming data? Check my Snowflake/BigQuery gig for a complete end-to-end solution.
Message me before ordering I respond fast and will confirm your requirements fit the package.
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FAQ
Can you connect Kafka to my existing Snowflake or BigQuery warehouse?
Yes — this is a common combo and creates a natural cross-sell with your warehouse gig.
What's the difference between batch ETL and real-time streaming?
Helps educate buyers and pulls in long-tail keyword searches.
Do you work with AWS Kinesis or GCP Pub/Sub instead of Kafka?
Captures cloud-native buyers who may not know Kafka by name.
