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Data Engineering: ETL & Scalable Pipelines

4.7 (18 Reviews)
15 Views
  • Basic Delivery Time
    14 Days
  • Experience (Years)
    7
  • What You Get
    I deliver end-to-end Airflow/Spark ETL DAGs with incremental loads and schema evolution that produce, I provide validated, schema-enforced datasets with data-quality checks and alerting so your models g, I configure cost-aware AWS/GCP settings and monitoring hooks to keep pipeline costs predictable., I hand over operational runbooks and concise docs so your team can run and extend pipelines without

Service Description

Struggling with fragile, slow data pipelines? I design and deliver reliable ETL/ELT pipelines using Airflow, Spark or dbt, plus schema design and data-quality checks so analytics and models get trusted inputs. Work includes staging patterns, incremental loads, monitoring and cost-aware cloud configuration for AWS/GCP.

What's Included:
• End-to-end ETL/ELT DAGs
• Data quality & alerting rules
• Incremental load patterns
• Deployment & basic infra guidance
• Operational handover documentation

400.00
Basic service package
14 Days Delivery
3 Revisions
  • End-to-end ETL/ELT DAGs
  • Data quality & alerting rules
  • Incremental load patterns
  • Deployment & basic infra guidance
  • Operational handover documentation
700.00
Standard service package
10 Days Delivery
3 Revisions
  • End-to-end ETL/ELT DAGs
  • Data quality & alerting rules
  • Incremental load patterns
  • Deployment & basic infra guidance
  • Operational handover documentation
1,200.00
Premium service package
7 Days Delivery
3 Revisions
  • End-to-end ETL/ELT DAGs
  • Data quality & alerting rules
  • Incremental load patterns
  • Deployment & basic infra guidance
  • Operational handover documentation

About The Seller

Gulnar Mambetov-Orozov
Machine Learning Engineer
Rate: 56.00 - 68.00 / hr