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I will build your data pipeline with airflow and spark
Software Engineer
I am a software engineer with 3 year of experience in developing and optimizing backend services for large scale payment processing systems. I have implemented batch processing pipelines and built dee...
Über diesen Service
Build reliable, scalable, and cloud-ready data pipelines.
Struggling to move or transform your data efficiently? I specialize in building end-to-end data pipelines that automate ingestion, transformation, validation, and loading across cloud and on-prem environments.
With 2.5+ year experience and tools like Spark, SQL, Python, Databricks, Snowflake, AWS & GCP, I help you turn messy raw data into production-grade insights.
What I offer:
- ETL & ELT pipelines (batch & streaming)
- Integration with APIs, cloud storage, and databases
- Cloud-native deployment: AWS Glue, Lambda, Azure ADF, Databricks, GCP Dataflow
- Real-time architecture using Kafka, Pub/Sub, or Event Hubs
- Data cleaning, quality checks, audit logging
Note: Message me before ordering to make sure I scope your project perfectly!
FAQ
How long does a data pipeline project take?
Single pipeline: 5 days. Multi-source warehouse with orchestration: 14 days. Enterprise data stack with streaming, CDC, and dbt: 25 days. Complexity (number of sources, data volume, quality requirements) affects timeline significantly.
Do you build real-time data pipelines?
Yes. I implement near-real-time pipelines (5-15 minute latency) using Kafka and micro-batch loading, and true real-time streaming using Kafka + Spark Structured Streaming or KSQL. I'll help you determine whether real-time is actually required.
Can you document my existing data pipelines?
Yes. I review, document, and improve existing pipeline code.
