You will get a custom Python ETL script and automated data pipeline
Project details
Are you struggling with broken data pipelines, inaccurate reports, or slow data processing?
As an Analytics Engineer & Cloud Data Architect, I build robust, automated, and scalable data solutions. I don't just write simple scripts; I design enterprise-grade architectures that guarantee 100% data quality and observability.
What you can expect from this gig:
1. Data Extraction: Securely fetching data from REST APIs, webhooks, XML/JSON, or legacy databases.
2. Cloud Storage & Warehousing: Setting up your Azure Data Lake, Snowflake, or Databricks environment.
3. Transformations with dbt: Writing modular, tested SQL models to transform raw data into business-ready metrics.
4. Orchestration: Automating the entire workflow using Apache Airflow or Azure Data Factory.
5. Clear Documentation: Every project includes a Data Dictionary and Architecture Diagram (because communication is key!).
Please message me before placing an order so we can discuss your specific data architecture needs!
As an Analytics Engineer & Cloud Data Architect, I build robust, automated, and scalable data solutions. I don't just write simple scripts; I design enterprise-grade architectures that guarantee 100% data quality and observability.
What you can expect from this gig:
1. Data Extraction: Securely fetching data from REST APIs, webhooks, XML/JSON, or legacy databases.
2. Cloud Storage & Warehousing: Setting up your Azure Data Lake, Snowflake, or Databricks environment.
3. Transformations with dbt: Writing modular, tested SQL models to transform raw data into business-ready metrics.
4. Orchestration: Automating the entire workflow using Apache Airflow or Azure Data Factory.
5. Clear Documentation: Every project includes a Data Dictionary and Architecture Diagram (because communication is key!).
Please message me before placing an order so we can discuss your specific data architecture needs!
Database Type
MySQL, MS SQL, SQLite, PostgreSQL, Azure Cosmos DBWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
Number of Queries | 1 | 3 | 5 |
Query Debugging | |||
Query Optimization | - | ||
Query Scheduling | - | ||
Query Analysis | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$35
Additional Query
(+ 1 Day)
+$25
Query Optimization
(+ 1 Day)
+$50Frequently asked questions
About Dilnoza
Azure Data Engineer & Analytics Architect | PySpark, dbt & Modern Data
Tashkent, Uzbekistan - 5:13 am local time
I help enterprises turn messy, fragmented data into highly scalable, automated Data Warehouses and Lakehouses using modern data engineering practices.
With an MSc in Business Intelligence & Analytics and hands-on experience processing massive datasets (2+ Billion records / 100GB+ using PySpark & Azure Synapse), I build the heavy-duty data engines that make fast and reliable analytics possible.
🔹 Why work with me? (The Communication Advantage)
Before transitioning into robust data engineering, I earned a Master's in TESOL and worked as an IT English educator. What does this mean for you? You will never deal with language barriers, poor documentation, or confusing tech jargon. I bridge the gap between technical infrastructure and business goals, explaining complex architectures in crystal-clear English.
🔹 What I bring to your business:
• Modern ELT & Data Warehousing: Designing highly optimized Star/Galaxy schemas and modern Lakehouses (Azure Databricks, Snowflake).
• Big Data & Orchestration: Building resilient data pipelines extracting data from complex APIs, JSON, XML to clean storage using Apache Spark (PySpark), Azure Data Factory (ADF), and Apache Airflow.
• Analytics Engineering (dbt): Transforming and modeling data within the warehouse to ensure 100% data quality and readiness for BI tools (Power BI, Tableau).
🔹 My Core Tech Stack:
• Python, PySpark, SQL (T-SQL, PL/SQL), Golang
• Azure (Synapse, Data Factory, Data Lake Gen2, Databricks)
• dbt (Data Build Tool), Airflow, Snowflake, PostgreSQL
• Power BI, Tableau, Advanced Data Modeling
Whether you need to fix a broken ETL pipeline, migrate legacy databases to a modern cloud setup, or build a scalable data architecture from scratch—I’d love to help.
📩 Let's build a data system you can trust. Send me a message and let's hop on a quick 10-minute call to discuss your architecture!
Steps for completing your project
After purchasing the project, send requirements so Dilnoza can start the project.
Delivery time starts when Dilnoza receives requirements from you.
Dilnoza works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Data Review
I analyze your raw data, API documentation, and project goals to design the optimal pipeline architecture.
Development & Pipeline Building
I write Python/SQL scripts to clean, transform, and load your data into your database or Data Warehouse.