You will get Cloud Data Architecture Review: Optimize Your ETL/ELT Pipeline
Project details
As a Senior Data Engineer with 6+ years of hands-on experience, I offer a specialized technical audit to ensure your cloud data infrastructure is not just functional, but cost-effective, secure, and scalable. My core focus is cost optimization and long-term scalability.
Why Choose This Service?
Avoid Cloud Overspending: Over 60% of companies overpay for their Data Warehouses (Redshift, Snowflake). I will pinpoint inefficient queries and over-provisioned configurations driving up your bill.
Future-Proof Pipelines: I review your entire ELT/ETL logic (dbt, Airflow, AWS Glue) to ensure it can handle 12+ months of data growth without stability issues.
Expert Tooling: My analysis leverages modern Data Engineering best practices, focusing on specialized tools like dbt, Airflow, and AWS, to provide cutting-edge solutions.
I specialize in asynchronous (written-only) communication via Upwork chat to maximize focus on technical delivery and quality code. Invest in this audit to transform your data challenges into strategic business insights.
Why Choose This Service?
Avoid Cloud Overspending: Over 60% of companies overpay for their Data Warehouses (Redshift, Snowflake). I will pinpoint inefficient queries and over-provisioned configurations driving up your bill.
Future-Proof Pipelines: I review your entire ELT/ETL logic (dbt, Airflow, AWS Glue) to ensure it can handle 12+ months of data growth without stability issues.
Expert Tooling: My analysis leverages modern Data Engineering best practices, focusing on specialized tools like dbt, Airflow, and AWS, to provide cutting-edge solutions.
I specialize in asynchronous (written-only) communication via Upwork chat to maximize focus on technical delivery and quality code. Invest in this audit to transform your data challenges into strategic business insights.
Database Type
MySQL, MS SQL, SQLite, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$125
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 0 | 1 | 2 |
Schema Diagram | - | ||
Permissions Setup | - | - | |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $115
Additional Revision
+$60
Additional Table Added
(+ 1 Day)
+$40
Schema Diagram
(+ 1 Day)
+$100
Permissions
(+ 2 Days)
+$125
Import/Export Data
(+ 2 Days)
+$150
Airflow DAG Template
(+ 2 Days)
+$75
dbt Package Review
(+ 3 Days)
+$100Frequently asked questions
About Adrian
Senior Data Engineer | Python, SQL, ETL Pipelines, Data Cleaning, Auto
Lerma de Villada, Mexico - 3:35 pm local time
I help businesses fix, clean and organize their data so they can make fast and accurate decisions.
I can help you with:
* Data cleaning & transformation (CSV, Excel, JSON, Parquet, APIs, SQL DBs).
* Building or fixing ETL/ELT pipelines.
* Python automation (Pandas, Dask, PySpark).
* SQL optimization & complex queries.
* Data validation, quality checks & schema normalization.
* Cloud data workflows (AWS, S3, Lambda, ECS)
Why clients work with me:
* 7+ years solving real data problems.
* Fast delivery, clear communication.
* Clean, reproducible and well-documented code.
* I deliver exactly what you need—no overengineering.
If you want your dataset clean, structured and ready for analysis, I can help.
Send me a message and I'll give you a quick plan and timeline.
Steps for completing your project
After purchasing the project, send requirements so Adrian can start the project.
Delivery time starts when Adrian receives requirements from you.
Adrian works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement & Data Collection
The client provides the detailed requirements, existing architecture diagram, and cost reports (AWS/Cloud) via Upwork chat for review.
Technical Analysis & Diagnosis
A thorough review of the tools (dbt, Airflow) and infrastructure is conducted. The root causes of the cost, performance, and scalability problems are identified (days 1-2).