You will get Azure Data Engineer | Scalable Data Pipelines & Cloud Data Architecture


Project details
I deliver tailored Azure data engineering solutions built for performance, scalability, and cost efficiency. Combining deep expertise in ADF, Synapse, and Databricks with clear communication, I ensure pipelines are optimized, reliable, and future-ready.
Database Type
MS SQLWhat's included
| Service Tiers |
Starter
$90
|
Standard
$215
|
Advanced
$385
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Queries | 10 | 15 | 25 |
Query Debugging | - | ||
Query Optimization | - | ||
Query Scheduling | - | ||
Query Analysis | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60
Additional Revision
+$20
Additional Query
(+ 1 Day)
+$20
Query Debugging
(+ 2 Days)
+$30
Query Optimization
(+ 2 Days)
+$30
Query Scheduling
(+ 2 Days)
+$40
Query Analysis
(+ 2 Days)
+$40Frequently asked questions
About Chaitanya
Data Engineer & Engineering Lead
Nagpur, India - 7:36 pm local time
What I Deliver:
* End-to-End Data Pipelines – from ingestion to analytics, optimized for speed & cost.
* Modern Data Warehousing – star/snowflake models, lakehouse (Bronze–Silver–Gold) architectures.
* ETL & Automation – Azure Data Factory pipelines, Synapse transformations, PySpark automation.
* Cloud Infrastructure – IaC with Terraform for consistent & secure Azure deployments.
* Data Governance & Security – role-based access control, auditing, compliance.
Why Clients Hire Me:
* Proven Track Record – Led large-scale cloud data migrations & architecture projects.
* Business-Driven Approach – I focus on ROI, not just technology.
* Clear Communication – Transparent updates, zero jargon confusion.
* Performance Optimization – Every pipeline tuned for speed & efficiency.
Tech Stack:
Azure Synapse Analytics | Azure Data Factory | Data Lake Gen2 | SQL Server | PySpark | Python | Terraform | Azure DevOps | Git | Delta Lake
If you’re looking for a data engineering partner who understands both the tech and the business impact, let’s connect and build something exceptional.
Steps for completing your project
After purchasing the project, send requirements so Chaitanya can start the project.
Delivery time starts when Chaitanya receives requirements from you.
Chaitanya works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Scope
Confirm goals, data sources, SLAs, and access needs
Access & Environment
Validate Azure subscription/resource groups; set up dev workspace.