You will get a End-to-End Data Engineering Solution
Project details
What you get: Complete End-to-End AWS data platform solution tailored to your needs.
What’s included:
• Requirements Gathering: Collaborate to define clear objectives and data needs.
• Data Ingestion: Set up automated pipelines to collect data from multiple sources (databases, APIs, files, cloud).
• Data Storage: Design and implement storage solutions (data warehouse/data lake), using best-fit technologies (Snowflake, Redshift, etc.).
• Data Transformation (ETL/ELT): Clean, normalize, and enrich data using frameworks like Airflow, or Spark.
• Data Modeling: Structure data for optimal query performance (star/snowflake schema, data vault, etc.).
• Data Governance: Implement data quality checks, access controls, lineage tracking, and compliance.
• Set up monitoring, alerting, and performance optimization for pipelines and storage.
• Documentation: Deliver comprehensive documentation and (if needed) user training.
Why choose me?
• Extensive experience with top data engineering tools and cloud platforms.
• Proven track record delivering scalable, production-grade data solutions.
• Focus on reliability, security, and business value.
What’s included:
• Requirements Gathering: Collaborate to define clear objectives and data needs.
• Data Ingestion: Set up automated pipelines to collect data from multiple sources (databases, APIs, files, cloud).
• Data Storage: Design and implement storage solutions (data warehouse/data lake), using best-fit technologies (Snowflake, Redshift, etc.).
• Data Transformation (ETL/ELT): Clean, normalize, and enrich data using frameworks like Airflow, or Spark.
• Data Modeling: Structure data for optimal query performance (star/snowflake schema, data vault, etc.).
• Data Governance: Implement data quality checks, access controls, lineage tracking, and compliance.
• Set up monitoring, alerting, and performance optimization for pipelines and storage.
• Documentation: Deliver comprehensive documentation and (if needed) user training.
Why choose me?
• Extensive experience with top data engineering tools and cloud platforms.
• Proven track record delivering scalable, production-grade data solutions.
• Focus on reliability, security, and business value.
What's included
| Service Tiers |
Starter
$750
|
Standard
$1,000
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 3 | 5 |
Schema Diagram | - | ||
Permissions Setup | - | ||
Import/Export Data | |||
Admin Panel Setup | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150Frequently asked questions
About Demeritius
AWS Glue ETL Expert
Spokane, United States - 3:12 pm local time
I work with growing startups to clean up, stabilize, and scale their AWS data systems so reporting works, workflows don’t fail, and your infrastructure keeps up with the business.
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Common Problems I Solve:
• Airflow DAGs failing or becoming unmanageable
• ETL/ELT pipelines that don’t scale with user growth
• Data warehouses (Redshift, Snowflake, Databricks) slowing down
• Lack of observability, monitoring, and data quality checks
• Manual workflows that should be automated
• “Quick MVP” data stacks that now need to become real infrastructure
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What I Deliver:
Scalable Data Architecture
• End-to-end pipeline design (batch & streaming)
• AWS-native data platforms (S3, Lambda, Glue, Redshift)
• Workflow orchestration with Apache Airflow
• Fault-tolerant, cost-aware cloud architecture
Production-Ready ETL/ELT Systems
• Python, PySpark, SQL-based transformation logic
• Data modeling for analytics and product reporting
• CI/CD for data workflows (GitHub Actions, GitLab)
Stability & Observability
• Monitoring & alerting for pipelines
• Data quality validation
• Performance optimization
• Refactoring brittle workflows into maintainable systems
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Why Startups Hire Me
• You’ve raised funding and your infrastructure must mature
• You need senior-level thinking without hiring full-time
• You want systems designed for scale — not temporary fixes
• You want clear communication and architectural ownership
I build practical, growth-aligned data platforms that support product teams, leadership dashboards, and investor reporting — without unnecessary enterprise overhead.
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Industries & Environments
• SaaS & product-driven tech companies
• Analytics-driven startups
• Teams migrating from ad-hoc scripts to real data platforms
• Organizations scaling AWS-based infrastructure
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Let’s Build Infrastructure That Scales With You
If your startup is growing fast and your data systems need to catch up — send a message. I’ll help you stabilize today and scale for tomorrow.
Steps for completing your project
After purchasing the project, send requirements so Demeritius can start the project.
Delivery time starts when Demeritius receives requirements from you.
Demeritius works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Planning
Define objectives, data sources, and requirements
Architecture & Design
Blueprint data flows, models, and infrastructure